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Buchsbaum, Adam L and Sundar, Rajamani and Tarjan, Robert E (1995) Data-Structural Bootstrapping, Linear Path Compression, and Catenable Heap-Ordered Double-Ended Queues. In: SIAM Journal on Computing, 24 (6). pp. 1190-1206.

Prasad, UR and Rajan, N (1987) Aircraft pursuit-evasion problems with variable speeds. In: Computers & Mathematics with Applications, 13 (1-3). pp. 111-121.

A

Abdulla, Mohammed Shahid and Bhatnagar, Shalabh (2007) Network flow-control using asynchronous stochastic approximation. In: 46th IEEE Conference on Decision and Control, DEC 12-14, 2007, New Orleans, LA.

Abdulla, Mohammed Shahid and Bhatnagar, Shalabh (2007) Parametrized actor-critic algorithms for finite-horizon MDPs. In: American Control Conference 2007, JUL 09-13, 2007, New York,.

Abdulla, Mohammed Shahid and Bhatnagar, Shalabh (2007) Solving MDPs using two-timescale simulated annealing with multiplicative weights. In: American Control Conference 2007, JUL 09-13, 2007, New York, NY.

Abdulla, Mohammed Shahid and Bhatnagar, Shalabh (2016) MULTI-ARMED BANDITS BASED ON A VARIANT OF SIMULATED ANNEALING. In: INDIAN JOURNAL OF PURE & APPLIED MATHEMATICS, 47 (2). pp. 195-212.

Abdulla, Mohammed Shahid and Bhatnagar, Shalabh (2007) Reinforcement Learning Based Algorithms for Average Cost Markov Decision Processes. In: Discrete Event Dynamic Systems - Theory and Applications, 17 (1). pp. 23-52.

Abdulla, Mohammed Shahid and Bhatnagar, Shalabh (2006) SPSA algorithms with measurement reuse. In: 2006 Winter Simulation Conference,, Dec 03-06, 2006, Monterey, CA,, pp. 319-327.

Abdulla, Mohammed Shahid and Bhatnagar, Shalabh (2005) Solution of MDPS using simulation-based value iteration. In: 2nd International Conference on Artificial Intelligence Applications and Innovations, SEP 07-09, 2005, Beijing.

Abraham, David J and Irving, Robert W and Kavitha, Telikepalli and Mehlhorn, Kurt (2007) Popular Matchings. In: SIAM Journal on Computing, 37 (4). pp. 1030-1045.

Abraham, David J and Telikepalli, Kavitha (2006) Dynamic Matching Markets and Voting Paths. In: Algorithm Theory-SWAT 2006. 10th Scandinavian Workshop on Algorithm Theory. Proceedings, 6-8 July 2006, Riga, Latvia, pp. 65-76.

Abraham, I and Asharov, G and Patil, S and Patra, A (2022) Asymptotically Free Broadcast in Constant Expected Time via Packed VSS. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7 - 10 November 2022, Chicago, pp. 384-414.

Acharya, A and Bondhugula, U and Cohen, A (2020) Effective Loop Fusion in Polyhedral Compilation Using Fusion Conflict Graphs. In: ACM Transactions on Architecture and Code Optimization, 17 (4).

Acharya, Aravind and Bondhugula, Uday (2015) PLUTO plus : Near-Complete Modeling of Affine Transformations for Parallelism and Locality. In: ACM SIGPLAN NOTICES, 50 (8). pp. 54-64.

Acharya, Aravind and Bondhugula, Uday (2015) PLUTO plus : Near-Complete Modeling of Affine Transformations for Parallelism and Locality. In: ASSOC COMPUTING MACHINERY, 2 PENN PLAZA, STE 701, NEW YORK, NY 10121-0701 USA . pp. 54-64.

Acharya, Aravind and Bondhugula, Uday and Cohen, Albert (2018) Polyhedral Auto-transformation with No Integer Linear Programming. In: ACM SIGPLAN NOTICES, 53 (4). pp. 529-542.

Acharya, Jayadev and Bhattacharyya, Arnab and Daskalakis, Constantinos and Kandasamy, Saravanan (2018) Learning and Testing Causal Models with Interventions. In: 32nd Conference on Neural Information Processing Systems (NIPS), December 2 - 8, 2018, Montreal, Canada.

Acharya, Jayadev and Bhattacharyya, Arnah and Kamath, Pritish (2017) Improved Bounds for Universal One-bit Compressive Sensing. In: IEEE International Symposium on Information Theory (ISIT), JUN 25-30, 2017, Aachen, GERMANY, pp. 2353-2357.

Adabala, Neeharika and Manohar, Swami (2000) Modeling and rendering of gaseous phenomena using particle maps. In: The Journal of Visualization and Computer Animation, 11 (5). pp. 279-293.

Adhikari, NCD and Guha, B and Alka, A and Das, U (2022) PiXelNet: A DL-Based method for Diagnosing Lung Cancer using the Histopathological images. In: 5th Asia Conference on Machine Learning and Computing, ACMLC 2022, 28 - 30 December 2022, Hybrid, Bangkok, pp. 68-76.

Adhikary, Jyoti Ranjan and Murty, Narasimha M (2012) Feature selection for unsupervised learning. In: ICONIP 2012 19th International Conference, November 12-15, 2012, Doha, Qatar.

Adiga, Abhijin (2009) Cubicity of threshold graphs. In: Discrete Mathematics, 309 (8). 2535 -2537.

Adiga, Abhijin and Babu, Jasine and Chandran, Sunil L (2012) Polynomial time and parameterized approximation algorithms for boxicity. In: Proceedings of 7th International Symposium, IPEC 2012, September 12-14, 2012, Ljubljana, Slovenia, pp. 135-146.

Adiga, Abhijin and Babu, Jasine and Chandran, Sunil L (2011) A constant factor approximation algorithm for boxicity of circular arc graphs. In: WADS'11 Proceedings of the 12th International Conference on Algorithms and Data Structures, 2011, Heidelberg.

Adiga, Abhijin and Babu, Jasine and Chandran, Sunil L (2014) A constant factor approximation algorithm for boxicity of circular arc graphs. In: DISCRETE APPLIED MATHEMATICS, 178 . pp. 1-18.

Adiga, Abhijin and Babu, Jasine and Chandran, Sunil L (2018) Sublinear approximation algorithms for boxicity and related problems. In: DISCRETE APPLIED MATHEMATICS, 236 . pp. 7-22.

Adiga, Abhijin and Bhowmick, Diptendu and Chandran, Sunil L (2010) Boxicity and Poset Dimension. In: 16th Annual International Computing and Combinatorics Conference, JUL 19-21, 2010 , Nha Trang, VIETNAM, pp. 3-12.

Adiga, Abhijin and Bhowmick, Diptendu and Chandran, Sunil L (2010) The hardness of approximating the boxicity, cubicity and threshold dimension of a graph. In: Discrete Applied Mathematics, 158 (16). pp. 1719-1726.

Adiga, Abhijin and Bhowmick, Diptendu and Chandran, Sunil L (2011) Boxicity and Poset Dimension. In: SIAM Journal on Discrete Mathematics, 25 (4). pp. 1687-1698.

Adiga, Abhijin and Chandran, Sunil and Sivadasan, NaveenL (2014) LOWER BOUNDS FOR BOXICITY. In: COMBINATORICA, 34 (6). pp. 631-655.

Adiga, Abhijin and Chandran, Sunil L (2010) Cubicity of Interval Graphs and the Claw Number. In: Journal of Graph Theory, 65 (4). pp. 323-333.

Adiga, Abhijin and Chandran, Sunil L (2014) REPRESENTING A CUBIC GRAPH AS THE INTERSECTION GRAPH OF AXIS-PARALLEL BOXES IN THREE DIMENSIONS. In: SIAM JOURNAL ON DISCRETE MATHEMATICS, 28 (3). pp. 1515-1539.

Adiga, Abhijin and Chandran, Sunil L (2012) Representing a cubic graph as the intersection graph of axis-parallel boxes in three dimensions. In: 12 Proceedings of the 2012 symposuim on Computational Geometry, June 17-20, 2012, Chapel Hill, NC, USA.

Adiga, Abhijin and Chandran, Sunil L and Mathew, Rogers (2011) Cubicity, degeneracy, and crossing number. In: Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS), 2011, 01.12.2011.

Adiga, BS and Shankar, P (1986) Fast Public Key Cryptosystem Based On Matrix Rings. In: Electronics Letters, 22 (22). pp. 1182-1183.

Adiga, BS and Shankar, P (1983) Simple Coding Scheme For Modular Arithmetic. In: Electronics Letters, 19 (17). pp. 703-705.

Aflalo, Jonathan and Ben-Tal, Aharon and Bhattacharyya, Chiranjib and Nath, Jagarlapudi Saketha and Raman, Sankaran (2011) Variable Sparsity Kernel Learning. In: Journal of Machine Learning Research, 12 . pp. 565-592.

Afraz, Mohammed and Saha, Diptikalyan and Kanade, Aditya (2015) P3: Partitioned Path Profiling. In: 10th Joint Meeting of the European Software Engineering Conference (ESEC) / ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE), AUG 30-SEP 04, 2015 , Bergamo, ITALY , pp. 485-495.

Agarwal, S and Sprick, B (2005) Specification of access control and certification policies for semantic web services. In: E-commerce and Web Technologies, Proceedings Lecture Notes in Computer Science, 3590 . pp. 348-357.

Agarwal, P and Lakshmi, J (2019) Cost aware resource sizing and scaling of microservices. In: 4th International Conference on Cloud Computing and Internet of Things, CCIOT 2019, 20 September 2019, Tokyo, pp. 66-74.

Agarwal, Pankaj K and Arge, Lars and Govindarajan, Sathish and Yang, Jun and Yi, Ke (2013) Efficient external memory structures for range-aggregate queries. In: COMPUTATIONAL GEOMETRY-THEORY AND APPLICATIONS, 46 (3). pp. 358-370.

Agarwal, Shivani (2011) Infinite push: a new support vector ranking algorithm that directly optimizes accuracy at the absolute top of the list. In: SDM 2011, Proceedings of the Eleventh SIAM International Conference on Data Mining, April 28-30, 2011, Mesa, Arizona.

Agarwal, Shivani (2014) Surrogate Regret Bounds for Bipartite Ranking via Strongly Proper Losses. In: JOURNAL OF MACHINE LEARNING RESEARCH, 15 . pp. 1653-1674.

Agarwal, T and Chattopadhyay, A and Natarajan, V (2021) Topological Feature Search in Time-Varying Multifield Data. In: 8th Workshop on Topological Methods in Data Analysis and Visualization, TopoInVis, 17 June - 19 June 2019, Nyköping, pp. 197-217.

Aggarwal, A and Vinayak, V and Bag, S and Bhattacharyya, C and Waghmare, UV and Maiti, PK (2021) Predicting the DNA Conductance Using a Deep Feedforward Neural Network Model. In: Journal of Chemical Information and Modeling, 61 . pp. 106-114.

Aggarwal, D and Kanukurthi, B and Obbattu, SLB and Obremski, M and Sekar, S (2022) Rate one-third non-malleable codes. In: 54th Annual ACM SIGACT Symposium on Theory of Computing, STOC 2022, 20 - 24 June 2022, Rome, pp. 1364-1377.

Aggarwal, K and Bondhugula, U (2019) Optimizing the linear fascicle evaluation algorithm for many-core systems. In: 33rd ACM International Conference on Supercomputing, ICS 2019, 26 June 2019, Phoenix, pp. 425-437.

Aggarwal, M and Murty, MN (2020) Node Representations. [Book Chapter]

Aggarwal, M and Murty, MN (2020) Region and relations based multi attention network for graph classification. In: 25th International Conference on Pattern Recognition, 10-15 jan 2021, Virtual, pp. 8101-8108.

Aggarwal, Saurabh and Kuri, Joy and Saha, Chandan (2014) Give-and-take based peer-to-peer content distribution networks. In: SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 39 (4). pp. 843-858.

Agrawal, VK and Patnaik, LM and Goel, PS (1989) Specification-driven approach for protocol design of distributed computing systems. In: Journal of Microcomputer Applications, 12 (2). pp. 107-126.

Agrawal, Akanksha and Govindarajan, Sathish and Misra, Neeldhara (2014) Vertex Cover Gets Faster and Harder on Low Degree Graphs. In: 20th International Conference on Computing and Combinatorics (COCOON), AUG 04-06, 2014, Atlanta, GA, pp. 179-190.

Agrawal, DP and Patnaik, Lalit M (1993) Special Issue on Performance of Supercomputers : Guest Editors′ Introduction. In: Journal of Parallel and Distributed Computing, 19 (3). pp. 143-146.

Agrawal, Manindra and Saha, Chandan and Saptharishi, Ramprasad and Saxena, Nitin (2016) JACOBIAN HITS CIRCUITS: HITTING SETS, LOWER BOUNDS FOR DEPTH-D OCCUR-k FORMULAS AND DEPTH-3 TRANSCENDENCE DEGREE-k CIRCUITS. In: SIAM JOURNAL ON COMPUTING, 45 (4, SI). pp. 1533-1562.

Agrawal, Monu and Gupta, Neha and Shreelekshmi, R and Murty, Narasimha M (2005) Efficient pattern synthesis for nearest neighbour classifier. In: Pattern Recognition, 38 (11). pp. 2200-2203.

Agrawal, Shipra and Krishnan, Vijay and Haritsa, Jayant R (2004) On Addressing Efficiency Concerns in Privacy-Preserving Mining. In: 4th International Conference on Database Systems for Advanced Applications: DASFAA '04 (Lecture Notes in Computer Science), March 17-19, 2003, Jeju Island, Korea, Vol.2973, 113-124.

Agrawal, VK and Patnaik, LM and Goel, PS (1985) Towards formal specification of a distributed computing system. In: International Journal of Computer & Information Sciences, 14 (5). pp. 277-306.

Ahlawat, S and Vaghani, D and Tudu, J and Singh, V (2018) On securing scan design from scan-based side-channel attacks. In: 26th IEEE Asian Test Symposium, ATS 2017, 27 - 30 November 2017, Taipei, pp. 54-59.

Ahlawat, Satyadev and Tudu, Jaynarayan and Matrosova, Anzhela and Singh, Virendra (2016) A High Performance Scan Flip-Flop Design for Serial and Mixed Mode Scan Test. In: 22nd IEEE International Symposium on On-Line Testing and Robust System Design (IOLTS), JUL 04-06, 2016, Catalunya, SPAIN, pp. 233-238.

Ahlawat, Satyadev and Tudu, Jaynarayan and Matrosova, Anzhela and Singh, Virendra (2015) A New Scan Flip Flop Design to Eliminate Performance Penalty of Scan. In: 24th IEEE Asian Test Symposium, NOV 22-25, 2015, Mumbai, INDIA, pp. 25-30.

Ahlawat, Satyadev and Tudu, Jaynarayan T (2016) On minimization of test power through modified scan flip-flop. In: 20th International Symposium on VLSI Design and Test, VDAT 2016, 24-27 May 2016, Guwahati, India, pp. 1-6.

Ahlawat, Satyadev and Vaghani, Darshit and Tudu, Jaynarayan and Suhag, Ashok (2017) A Cost Effective Technique for Diagnosis of Scan Chain Faults. In: 21st International Symposium on VLSI Design and Test (VDAT), JUN 29-JUL 02, 2017, Indian Inst Technol Roorkee, Roorkee, INDIA, pp. 191-204.

Ahmad, J and Mohammad, CW and Sadiq, M (2022) Generation of One-Time Password for the Authentication of Software Requirements Using Secure Hash Algorithms. In: 9th International Conference on Recent Trends in Computing, 4-5 Jun 2021, Ghaziabad, pp. 627-640.

Ahmad, J and Mohammad, CW and Sadiq, M (2021) Identification of security requirements from the selected set of requirements under fuzzy environment. In: 2021 IEEE International Conference on Computing, Communication, and Intelligent Systems, ICCCIS 2021, 19-20 Feb 2020, Greater Noida, pp. 58-63.

Ahmed, Sk Miraj and Das, Niladri Ranjan and Chaudhury, Kunal Narayan (2019) Least-squares registration of point sets over SE(d) using closed-form projections. In: COMPUTER VISION AND IMAGE UNDERSTANDING, 183 . pp. 20-32.

Ajay, A and Chander, S and Gupta, M (2019) Analysis of DC Characteristics of AlGaN/GaN HEMTs: Simulation. In: 4th International Conference on Devices, Circuits and Systems, ICDCS 2018, 16 - 17 March 2018, Coimbatore, pp. 8-11.

Ajimakin, AD and Devi, VS (2021) Estimation of von mises-fisher distribution algorithm, with application to support vector classification. In: 2021 Genetic and Evolutionary Computation Conference, GECCO 2021, 10-14 Jul 2021, pp. 199-200.

Ajjanagadde, Venkatramana G and Patnaik, LM (1988) Design and performance evaluation of a systolic architecture for hidden-surface removal. In: Computers & Graphics, 12 (1). pp. 71-74.

Ajmera, S and Jain, H and Sundaresan, M and Sridharan, D (2020) Decoding task-specific cognitive states with slow, directed functional networks in the human brain. In: eNeuro, 7 (4). pp. 1-23.

Ajmera, S and Rajagopal, S and Ur Rehman, R and Sridharan, D (2019) Infra-slow brain dynamics as a marker for cognitive function and decline. In: 33rd Annual Conference on Neural Information Processing Systems, NeurIPS 2019, 8-14 December 2019, Vancouver; Canada.

Ajwani, Deepak and Elbassioni, Khaled and Govindarajan, Sathish and Ray, Saurabh (2012) Conflict-Free Coloring for Rectangle Ranges Using O(n.382) Colors. In: Discrete & Computational Geometry, 48 (1). pp. 39-52.

Akhand, Bhupesh and Devi, Susheela V (2013) Multi Label Classification of Discrete Data. In: IEEE International Conference on Fuzzy Systems (FUZZ), JUL 07-10, 2013, Hyderabad, INDIA.

Alam, Mansoor and Sarma, VVS (1975) Optimal maintenance and replacement via a semi-Markov decision model. In: International Journal of Systems Science, 6 (9). 809 -818.

Alam, M and Sarma, VVS (2007) Optimal maintenance policy of a machine subject to failure. In: 1973 IEEE Conference on Decision and Control including the 12th Symposium on Adaptive Processes, Dec. 1973.

Albers, S and Khan, A and Ladewig, L (2020) Best fit bin packing with random order revisited. In: 45th International Symposium on Mathematical Foundations of Computer Science, MFCS 2020, 25-26 August 2020, Prague; Czech Republic.

Albers, S and Khan, A and Ladewig, L (2021) Improved Online Algorithms for Knapsack and GAP in the Random Order Model. In: Algorithmica .

Alicherry, Mansoor and Gopinath, K (2001) Predictable Management of System Resources for Linux. In: FREENIX Trac:2001 USENIX Annual Technical Conference, 25-30 June 2001, Boston, Massachusetts, USA, pp. 273-283.

Allender, Eric and Jiao, Jia and Mahajan, Meena and Vinay, V (1998) Non-commutative arithmetic circuits: depth reduction and size lower bounds. In: Theoretical Computer Science, 209 (1-2). pp. 47-86.

Alon, B and Nissenbaum, O and Omri, E and Paskin-Cherniavsky, A and Patra, A (2022) On Perfectly Secure Two-Party Computation for Symmetric Functionalities with Correlated Randomness. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7 - 10 November 2022, Chicago, pp. 532-561.

Alon, Noga and Basavaraju, Manu and Chandran, Sunil L and Mathew, Rogers and Rajendraprasad, Deepak (2015) SEPARATION DIMENSION OF BOUNDED DEGREE GRAPHS. In: SIAM JOURNAL ON DISCRETE MATHEMATICS, 29 (1). pp. 59-64.

Alon, Noga and Basavaraju, Manu and Chandran, Sunil L and Mathew, Rogers and Rajendraprasad, Deepak (2018) Separation dimension and sparsity. In: JOURNAL OF GRAPH THEORY, 89 (1). pp. 14-25.

Altman, E and Reiffers, A and Menasché, DS and Datar, M and Dhamal, S and Touati, C (2019) Mining competition in a multi-cryptocurrency ecosystem at the network edge: A congestion game approach. In: 36th IFIP Performance Conference 2018, 5 - 7 December 2018, Toulouse, pp. 114-117.

Altman, Eitan and Hanawal, Manjesh Kumar and Sundaresan, Rajesh (2014) Regulation of Off-Network Pricing in a Nonneutral Network. In: ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 14 (2-3, S). pp. 45-65.

Alwen, Joel and Hirt, Martin and Maurer, Ueli and Patra, Arpita and Raykov, Pavel (2015) Anonymous Authentication with Shared Secrets. In: 3rd International Conference on Cryptology and Information Security in Latin America, SEP 17-19, 2014, Florianopolis, BRAZIL, pp. 219-236.

Amir, Amihood and Cole, Richard and Hariharan, Ramesh and Lewenstein, Moshe and Porat, Ely (2001) Overlap Matching. In: The twelfth annual ACM-SIAM symposium on Discrete algorithms, January 07 - 09, Washington, D.C., United States, pp. 279-288.

Amir, Amihood and Cole, Richard and Hariharan, Ramesh and Lewenstein, Moshe and Porat, Ely (2003) Overlap matching. In: Information and Computation, 181 (1). pp. 57-74.

Amireddy, P and Garg, A and Kayal, N and Saha, C and Thankey, B (2023) Low-Depth Arithmetic Circuit Lower Bounds: Bypassing Set-Multilinearization. In: 50th International Colloquium on Automata, Languages, and Programming, ICALP 2023, 10 - 14 July 2023, Paderborn.

Anand, Sai R and Madhavan, Veni CE (2000) An online, transferable E-cash payment system. In: Progress in Cryptology - INDOCRYPT 2000. First International Conference in Cryptology in India. Proceedings, 10-13 Dec. 2000, Calcutta, India, pp. 93-103.

Anand, Sunil Kumar and Srikant, YN (2005) Genetic Algorithm based Automatic Data Partitioning Scheme for HPF. In: 14th IEEE International Symposium on High Performance Distributed Computing, HPDC-14, 24-27 July 2005, Research Triangle Park, North Carolina, USA, pp. 289-290.

Ananth, Prabhanjan and Dukkipati, Ambedkar (2012) Algebraic characterization of rainbow connectivity. In: Proceedings of the CASC 2012 14th International Workshop, September 3-6, 2012, Maribor, Slovenia.

Ananth, Prabhanjan and Nasre, Meghana and Sarpatwar, Kanthi K (2011) Rainbow connectivity: hardness and tractability. In: IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2011) , 01-Dec, 2011, Dagstuhl, Germany.

Ananth, Prabhanjan Vijendra and Dukkipati, Ambedkar (2011) Border basis detection is NP-complete. In: ISSAC '11 Proceedings of the 36th international symposium on Symbolic and algebraic computation, 2011, New York, NY, USA.

Ananthanarayana, VS and Murty, Narasimha M and Subramanian, DK (2001) Efficient clustering of large data sets. In: Pattern Recognition, 34 (12). pp. 2561-2563.

Ananthanarayana, VS and Murty, Narasimha M and Subramanian, DK (2003) Tree structure for efficient data mining using rough sets. In: Pattern Recognition Letters, 24 (6). pp. 851-862.

Ananthanarayana, VS and Subramanian, DK and Murty, MN (2003) Association rule mining activity : A general formalism. In: International Conference on Computer, Communication and Control Technologies (CCCT 03)/9th International Conference on Information Systems Analysis and Synthesis (ISAS03), JUL 31-AUG 02, 2003, Orlando, FLORIDA.

Ananthanarayana, VS and Subramanian, DK and Murty, Narasimha M (2000) Scalable, Distributed and Dynamic Mining of Association Rules. In: 7th International Conference of High Performance Computing - HiPC 2000, December 2000, Bangalore, India, pp. 559-566.

Ananthanarayanan, VS and Murty, MN and Subramanian, DK (2001) An incremental data mining algorithm for compact realization of prototypes. In: Pattern Recognition, 34 (11). pp. 2249-2251.

Ananthanarayanan, VS and Murty, Narasimha M and Subramanian, DK (2001) Multi-dimensional semantic clustering of large databases for association rule mining. In: Pattern Recognition, 34 (4). pp. 939-941.

Anbumani, K and Patnaik, L and Sarma, I (1981) Self-tuning minimum-variance control of nonlinear systems of the Hammerstein model. In: Ieee Transactions On Automatic Control, 26 (4). 959 -961.

Ande, A and Subhash, V and Natarajan, V (2023) tachyon: Efficient Shared Memory Parallel Computation of Extremum Graphs. In: Computer Graphics Forum .

Ansari, JS (1974) Instability of Combustion. In: AIAA Journal, 12 (4). pp. 561-562.

Ansari, H and Vijayvergia, A and Kumar, K (2019) DCR-HMM: Depression detection based on Content Rating using Hidden Markov Model. In: 2018 Conference on Information and Communication Technology, CICT 2018, 26 - 28 October 2018, Jabalpur.

Ansari, TK and Kumar, R and Singh, S and Ganapathy, S and Devi, S (2017) Unsupervised HMM posteriograms for language independent acoustic modeling in zero resource conditions. In: 2017 IEEE Automatic Speech Recognition and Understanding Workshop, ASRU 2017, 16 - 20 December 2017, Okinawa, pp. 762-768.

Antony, M and Kakileti, ST and Shah, R and Sahoo, S and Bhattacharyya, C and Manjunath, G (2023) Challenges of AI driven diagnosis of chest X-rays transmitted through smart phones: a case study in COVID-19. In: Scientific Reports, 13 (1).

Anupindi, RS and Kotni, S and Basu, A (2022) memwalkd: Accelerating Key-value stores using Page Table Walkers. In: 29th Annual IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2022, 18-21 December 2022, Bangalore, pp. 69-74.

Aparanji, Ullas and Kumar, Viraj (2016) Improving Classroom Discussions of Programming Assignments via Language Choice. In: IEEE 8th International Conference on Technology for Education (T4E), DEC 02-04, 2016, Indian Inst Technol Bombay, Mumbai, INDIA, pp. 42-45.

Applebaum, B and Ishai, Y and Karni, O and Patra, A (2022) Quadratic Multiparty Randomized Encodings Beyond Honest Majority and Their Applications. In: 42nd Annual International Cryptology Conference, CRYPTO 2022, 15 August 2022 - 18 August 2022, Barbara, pp. 453-482.

Applebaum, B and Kachlon, E and Patra, A (2022) Round-Optimal Honest-Majority MPC in Minicrypt and with Everlasting Security: (Extended Abstract). In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7 - 10 November 2022, Chicago, pp. 103-120.

Applebaum, B and Kachlon, E and Patra, A (2022) Verifiable Relation Sharing and Multi-verifier Zero-Knowledge in Two Rounds: Trading NIZKs with Honest Majority: (Extended Abstract). In: 42nd Annual International Cryptology Conference, CRYPTO 2022, 15 - 18 August 2022, Santa Barbara, pp. 33-56.

Applebaum, B and Kachlon, E and Patra, A (2020) The resiliency of MPC with low interaction: The benefit of making errors (extended abstract). In: 18th International Conference on Theory of Cryptography, TCCC 2020, 16 November 2020 through 19 November 2020, Durham; United States, pp. 562-594.

Aranha, DF and Bennedsen, EM and Campanelli, M and Ganesh, C and Orlandi, C and Takahashi, A (2022) ECLIPSE: Enhanced Compiling Method for Pedersen-Committed zkSNARK Engines. In: 25th IACR International Conference on Practice and Theory of Public-Key Cryptography, PKC 2022, 8 March 2022 through 11 March 2022, Virtual, Online, pp. 584-614.

Arava, R and Bagchi, D and Suresh, P and Narahari, Y and Subrahmanya, SV (2010) Optimal allocation of carbon credits to emitting agents in a carbon economy. In: 2010 IEEE Conference on Automation Science and Engineering (CASE) , 21-24 Aug. 2010, Toronto, ON.

Arava, Radhika and Narahari, Y and Bagchi, Deepak and Suresh, P and Subrahmanya, SV (2010) Mechanism design problems in carbon economics. In: Journal of the Indian Institute of Science, 90 (3). pp. 381-411.

Arif, M and Mohammad, CW and Sadiq, M (2020) Software requirements modeling: A systematic literature review. In: 2020 IEEE International Conference on Computing, Power and Communication Technologies, GUCON 2020, 2-4 October 2020, Greater Noida; India, pp. 194-200.

Arjun, S and Murthy, LRD and Biswas, P (2021) Interactive Sensor Dashboard for Smart Manufacturing. In: 3rd International Conference on Industry 4.0 and Smart Manufacturing, ISM 2021, 21 November 2021, pp. 49-61.

Arora, H and Komondoor, R and Ramalingam, G (2019) Checking observational purity of procedures. In: 22nd International Conference on Fundamental Approaches to Software Engineering, FASE 2019, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2019, 6 April 2019 - 11 April 2019, Prague, pp. 228-243.

Arpith, K and Gopinath, K (2020) Need for a deeper cross-layer optimization for dense NAND SSD to improve read performance of big data applications: A case for melded pages. In: HotStorage 2020 - 12th USENIX Workshop on Hot Topics in Storage and File Systems, co-located with USENIX ATC 2020, 13-14 July 2020, Virtual, Online.

Arun, R and Suresh, V and Madhavan, CE Veni (2009) Clustering in Concept Association Networks. In: 3rd International Conference on Pattern Recognition and Machine Intelligence, DEC 16-20, 2009, IIT Delhi, pp. 86-91.

Arun, B and Chandru, V and Ganguly, AD and Manohar, S (2000) Molecular Dynamics Visualization with XML and VRML. In: Computer Graphics International, 2000, 19-24 June, Geneva,Switzerland, pp. 335-341.

Arun, R and Suresh, Vommina and Madhavan, Veni CE and Murty, Narasimha M (2010) On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations. In: 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining, JUN 21-24, 2010, Hyderabad, pp. 391-402.

Arunachaleswaran, ER and Barman, S and Kumar, R and Rathi, N (2019) Fair and Efficient Cake Division with Connected Pieces. In: 15th Conference on Web and Internet Economics, WINE 2019, 10 - 12 December 2019, New York City, pp. 57-70.

Arvind, Murching M and Srikant, YN (1989) Incremental attribute evaluation through recursive procedures. In: Computer Languages, 14 (4). pp. 225-237.

Arya, Sunil and Cheng, Siu-Wing and Mount, David M and Ramesh, H (2000) Efficient Expected-Case Algorithms for Planar Point Location. In: 7th Scandinavian Workshop on Algorithm Theory- SWAT 2000, July 2000, Bergen, Norway, pp. 353-366.

Arya, Sunil and Ramesh, H (1998) A 2.5-factor approximation algorithm for the k-MST problem. In: Information Processing Letters, 65 (3). pp. 117-118.

Ashajayanthi, AV and Rajaram, S and Viswanadham, N (1979) A Parallel Processor for Real-Time Speech Signal Processing. In: IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP'79, April, Vol.4, 868 -871.

Asharaf, S and Murthy, Narasimha M (2003) An adaptive rough fuzzy single pass algorithm for clustering large data sets. In: Pattern Recognition, 36 (12). pp. 3015-3018.

Asharaf, S and Murty, M Narasimha and Shevade, SK (2007) Cluster based training for scaling non-linear support vector machines. In: International Conference on Computing - Theory and Applications, MAR 05-07, 2007, Kolkata.

Asharaf, S and Murty, Narasimha M (2004) A rough fuzzy approach to web usage categorization. In: Fuzzy Sets and Systems, 148 (1). pp. 119-129.

Asharaf, S and Murty, Narasimha M and Shevade, SK (2006) Cluster based core vector machine. In: 6th IEEE International Conference on Data Mining,, Dec 18-22, 2006, Hong Kong, pp. 1038-1042.

Asharaf, S and Murty, Narasimha M and Shevade, SK (2006) Rough set based incremental clustering of interval data. In: Pattern Recognition Letters, 27 (6). pp. 515-519.

Asharaf, S and Narasimha Murty, M and Shevade, SK (2007) Multiclass Core Vector Machine. In: International Conference on Machine Learning (ICML-07), 2007, June 2007, New York, NY.

Asharaf, S and Shevade, SK and Murty, Narasimha M (2005) Rough support vector clustering. In: Pattern Recognition, 38 (10). pp. 1779-1783.

Asharaf, S and Shevade, SK and Murty, Narasimha M (2006) Scalable Rough Support Vector Clustering. CSA/ISL/ASH 0001.

Asharaf, S and Shevade, SK and Murty, Narasimha M (2006) Scalable non-linear Support Vector Machine using hierarchical clustering. In: 18th International Conference on Pattern Recognition (ICPR 2006), AUG 20-24, 2006, Hong Kong, pp. 908-911.

Ashok, Pradeesha and Azmi, Umair and Govindarajan, Sathish (2014) Small strong epsilon nets. In: COMPUTATIONAL GEOMETRY-THEORY AND APPLICATIONS, 47 (9). pp. 899-909.

Ashok, Pradeesha and Basu Roy, Aniket and Govindarajan, Sathish (2019) Local Search Strikes Again: PTAS for Variants of Geometric Covering and Packing. In: Journal of Combinatorial Optimization, 39 (2). pp. 618-635. ISSN 0302-9743

Ashok, Pradeesha and Govindarajan, Sathish (2015) On strong centerpoints. In: INFORMATION PROCESSING LETTERS, 115 (3). pp. 431-434.

Ashok, Pradeesha and Kolay, Sudeshna and Misra, Neeldhara and Saurabh, Saket (2015) Unique Covering Problems with Geometric Sets. In: 21st International Computing and Combinatorics Conference (COCOON) , AUG 04-06, 2015, Beijing, PEOPLES R CHINA, pp. 548-558.

Ashwin, B and Narahari, Y and Biswas, SK (2008) Cost Sharing Mechanisms for Business Clusters with Strategic Firms. In: IEEE International Conference on Automation Science and Engineering, AUG 23-26, 2008, Arlington.

Athaiya, S and Komondoor, R and Kumar, KN (2021) Data Flow Analysis of Asynchronous Systems using Infinite Abstract Domains. In: 30th European Symposium on Programming, ESOP 2021, 27 March - 1 April 2021, Luxembourg, pp. 30-58.

Athaiya, Snigdha (2017) Inferring page models for web application analysis. In: 26th ACM SIGSOFT International Symposium on Software Testing and Analysis, ISSTA 2017, 10 - 14 July 2017, Santa Barbara, pp. 412-415.

Athaiya, Snigdha and Komondoor, Raghavan (2017) Testing and analysis of web applications using page models. In: 26th ACM SIGSOFT International Symposium on Software Testing and Analysis, ISSTA 2017, 10 - 14 July 2017, Santa Barbara, pp. 181-191.

Athithan, Biswajit Paul G and Murty, MN (2009) Speeding up AdaBoost Classifier with Random Projection. In: 7th International Conference on Advances in Pattern Recognition, FEB 04-06, 2009, Indian Statist Inst, Kolkata, INDIA,.

Atkins, FM and Friedman, MM and Rao, PVS and Metcalfe, DD (1985) Interactions between Mast Cells, Fibroblasts and Connective Tissue Components. In: International Archives Of Allergy And Applied Immunology, 77 (1-2). pp. 96-102.

Avrachenkov, K and Patil, K and Thoppe, G (2020) Change Rate Estimation and Optimal Freshness in Web Page Crawling. In: 13th EAI International Conference on Performance Evaluation Methodologies and Tools, VALUETOOLS 2020, 18-20 May 2020, Tsukuba; Japan, pp. 3-10.

Avrachenkov, K and Patil, K and Thoppe, G (2022) Online algorithms for estimating change rates of web pages. In: Performance Evaluation, 153 .

Ayyadevara, N and Dabas, R and Khan, A and Sreenivas, KVN (2022) Near-Optimal Algorithms for Stochastic Online Bin Packing. In: 49th EATCS International Conference on Automata, Languages, and Programming, ICALP 2022, 4 - 8 July 2022, Paris.

Ayyagari, RS and Dukkipati, A (2023) Risk-Averse Combinatorial Semi-Bandits. In: IEEE International Symposium on Information Theory - Proceedings, 25 - 30 June 2023, Taipei, Taiwan, pp. 1472-1477.

Azeez, Najath Abdul and Dey, Anubrata and Mathew, K and Mathew, Jaison and Gopakumar, K (2012) A nearly constant switching frequency current hysteresis controller with generalized parabolic boundaries using 12-sided polygonal voltage space vectors for IM drives. In: 2012 XXth International Conference on Electrical Machines (ICEM), 2-5 Sept. 2012, Marseille.

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Babaria, Rashmin and Saketha Nath, J and Krishnan, S and Sivaramakrishnan, KR and Bhattacharyya, Chiranjib and Murty, MN (2007) Focussed Crawling with large scale Ordinal Regression Solvers. In: ICML '07 Proceedings of the 24th international conference on Machine learning , New York, NY.

Babichenko, Y and Barman, S (2017) Algorithmic aspects of private Bayesian persuasion. In: 8th Innovations in Theoretical Computer Science Conference, ITCS 2017, 9 - 11 January 2017, Berkeley.

Babu, GP and Murty, MN (1994) Controlled offspring generation in evolutionary programming. In: Third Annual Conference on Evolutionary Programming, 24-26 Feb. 1994, San Diego, CA, USA, pp. 253-260.

Babu, GP and Murty, MN (1994) Simulated annealing for selecting optimal initial seeds in the K-means algorithm. In: Indian Journal of Pure and Applied Mathematics, 25 (1-2). pp. 85-94.

Babu, KR and Sarma, IG and Swamy, KN (1995) Sliding mode estimation scheme for missile homing guidance. In: Automatic Control in Aerospace (Aerospace Control '94). A Postprint Volume from the IFAC Symposium, 12-16 Sept. 1994, Palo Alto, CA, USA, pp. 405-410.

Babu, Ravindra K and Sarma, IG and Swamy, KN (1994) Switched Bias Proportional Navigation for Homing Guidance Against Highly Maneuvering Targets. In: Journal of Guidance, Control, and Dynamics, 17 (6). pp. 1357-1363.

Babu, GP and Murty, MN (1994) Connectionist approach for global optimization. In: 1994 IEEE International Conference on Neural Networks (ICNN 94) - 1st IEEE World Congress on Computational Intelligence, JUN 26-29, 1994, ORLANDO, FL.

Babu, GP and Murty, MN and Ram, BR (1996) Clan-based evolutionary approach for solving control problems. In: Computers & Mathematics with Applications, 31 (6). pp. 41-60.

Babu, J and Chandran, LS and Francis, M and Prabhakaran, V and Rajendraprasad, D and Warrier, JN (2019) On graphs with minimal eternal vertex cover number. In: 5th International Conference on Algorithms and Discrete Applied Mathematics, CALDAM 2019, 14 - 16 February 2019, Kharagpur, pp. 263-273.

Babu, Jasine and Basavaraju, Manu and Chandran, L Sunil and Francis, Mathew C (2019) On induced colourful paths in triangle-free graphs. In: DISCRETE APPLIED MATHEMATICS, 255 . pp. 109-116.

Babu, Jasine and Basavaraju, Manu and Chandran, Sunil L and Rajendraprasad, Deepak (2014) 2-Connecting outerplanar graphs without blowing up the pathwidth. In: 19th Annual International Computing and Combinatorics Conference (COCOON, JUN, 2013, Hanhzhou, PEOPLES R CHINA, pp. 119-134.

Babu, Jasine and Biniaz, Ahmad and Maheshwari, Anil and Smid, Michiel (2014) Fixed-orientation equilateral triangle matching of point sets. In: THEORETICAL COMPUTER SCIENCE, 555 . pp. 55-70.

Babu, Jasine and Chandran, Sunil L and Rajendraprasad, Deepak (2015) Heterochromatic paths in edge colored graphs without small cycles and heterochromatic-triangle-free graphs. In: EUROPEAN JOURNAL OF COMBINATORICS, 48 (SI). pp. 110-126.

Babu, Jasine and Chandran, Sunil L and Vaidyanathan, Krishna (2015) Rainbow matchings in strongly edge-colored graphs. In: DISCRETE MATHEMATICS, 338 (7). pp. 1191-1196.

Babu, Phanendra G (1995) Clustering in non-stationary environments using a clan-based evolutionary approach. In: Biological Cybernetics, 73 (4). pp. 367-374.

Babu, Phanendra G and Murty, Narasimha M (1994) Clustering with evolution strategies. In: Pattern Recognition, 27 (2). pp. 321-329.

Babu, Phanendra G and Murty, Narasimha M (1995) Optimal thresholding using multi-state stochastic connectionist approach. In: Pattern Recognition Letters, 16 (1). pp. 11-18.

Babu, Phanendra G and Murty, Narasimha M (1993) A Probabilistic Neural Network for Designing Good Codes. In: 1993 International Joint Conference on Neural Networks (IJCNN '93-Nagoya), 25-29 October, Japan, Vol.2, 1590 -1593.

Babu, Phanendra G and Murty, Narasimha M (1993) A near-optimal initial seed value selection in K-means means algorithm using a genetic algorithm. In: Pattern Recognition Letters, 14 (10). pp. 763-769.

Babu, Phanendra G and Murty, Narasimha M and Keerthi, Sathiya S (2000) A Stochastic Connectionist Approach for Global Optimization with Application to Pattern Clustering. In: IEEE Transactions on Systems Man and Cybernetics Part B Cybernetics, 30 (1). pp. 10-24.

Babu, Ravindra T and Murty, Narasimha M (2001) Comparison of genetic algorithm based prototype selection schemes. In: Pattern Recognition, 34 (2). pp. 523-525.

Babu, Ravindra T and Murty, Narasimha M and Agrawal, VK (2004) Adaptive Boosting with Leader Based Learners for Classification of Large Handwritten Data. In: Fourth International Conference on Hybrid Intelligent Systems, 2004, 5-8 December, Kitakyushu,Japan, 326 -331.

Babu, Ravindra T and Murty, Narasimha M and Agrawal, VK (2004) Hybrid Learning Scheme for Data Mining Applications. In: Fourth International Conference on Hybrid Intelligent Systems, 2004, 5-8 December, Kitakyushu,Japan, 266 -271.

Babu, TR and Murty, MN and Agrawal, VK (2005) Hybrid learning scheme for data mining applications. In: Hybrid learning scheme for data mining applications, DEC 05-08, 2004, Kitakyushu.

Babu Sam, D and Venkatesh Babu, R (2018) Top-down feedback for crowd counting convolutional neural network. In: 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, 2 - 7 February 2018, New Orleans, pp. 7323-7330.

Babua, Ravindra T and Murty, Narasimha M and Agrawal, VK (2007) Classification of run-length encoded binary data. In: Pattern Recognition, 40 (1). 321 -323.

Badrinath, Rama and Venkatasubramaniyan, Suresh and Veni Madhavan, CE (2011) Improving query focused summarization using look-ahead strategy. In: ECIR 2011, 33rd European Conference on IR Research, April 18-21, 2011, Dublin, Ireland.

Bajpai, R and Hazarika, D and Singh, K and Gorantla, S and Cambria, E and Zimmermann, R (2023) Aspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining. In: 19th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2018, 18-24 March 2018, Hanoi, pp. 142-160.

Balaji, R and Manokar, V and Manokar, NV and Patnaik, LM (2018) Data analysis for decomposition and classification of diseased fmri brain images for inter-racial disease types of alzheimer�s vs tumors using sofm and enhancement by lvq neural networks and comparisons with ga and svms. In: Journal of Advanced Research in Dynamical and Control Systems, 10 (12 Spe). pp. 1130-1136.

Balaji, S and Patnaik, LM and Jenkins, Lawrence and Goel, PS (1992) S-nets: A Petri net based model for performance evaluation of real-time scheduling algorithms. In: Journal of Parallel and Distributed Computing, 15 (3). pp. 225-237.

Balakrishnan, Rohini and Bahuleyan, Jimmy and Nandi, Diptarup and Jain, Manjari (2014) Modelling the effects of chorus species composition and caller density on acoustic masking interference in multispecies choruses of crickets and katydids. In: ECOLOGICAL INFORMATICS, 21 (SI). pp. 50-58.

Balamurugan, P (2013) Large-Scale Elastic Net Regularized Linear Classification SVMs and Logistic Regression. In: IEEE 13th International Conference on Data Mining (ICDM), DEC 07-10, 2013, Dallas, TX, pp. 949-954.

Balamurugan, P and Shevade, Shirish and Babu, Ravindra T (2012) Efficient Algorithms for Linear Summed Error Structural SVMs. In: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)/International Joint Conference on Neural Networks (IJCNN)/IEEE Congress on Evolutionary Computation (IEEE-CEC)/IEEE World Congress on Computational Intelligence (IEEE-WCCI) , JUN 10-15, 2012 , Brisbane, AUSTRALIA.

Balamurugan, P and Shevade, Shirish and Babu, Ravindra T (2014) Scalable sequential alternating proximal methods for sparse structural SVMs and CRFs. In: KNOWLEDGE AND INFORMATION SYSTEMS, 38 (3). pp. 599-621.

Balamurugan, P and Shevade, Shirish and Babu, Ravindra T (2012) Sequential alternating proximal method for scalable sparse structural SVMs. In: 2012 IEEE 12th International Conference on Data Mining (ICDM), 10-13 Dec. 2012, Brussels, BELGIUM, pp. 61-70.

Balamurugan, P and Shevade, Shirish and Sundararajan, S (2015) A Simple Label Switching Algorithm for Semisupervised Structural SVMs. In: NEURAL COMPUTATION, 27 (10). pp. 2183-2206.

Balamurugan, P and Shevade, Shirish and Sundararajan, S and Keerthi, Sathiya S (2011) A sequential dual method for structural SVMs. In: 2011 SIAM International Conference on Data Mining (SDM), April 28-30,2011, Mesa, Arizona, USA.

Balasubramanian, Madhusudhanan and Zabic, Stanislav and Bowd, Christopher and Thompson, Hilary W and Wolenski, Peter and Iyengar, Sitharama S and Karki, Bijaya B and Zangwill, Linda M (2009) A Framework for Detecting Glaucomatous Progression in the Optic Nerve Head of an Eye Using Proper Orthogonal Decomposition. In: IEEE Transactions on Information Technology in Biomedicine, 13 (5). pp. 781-793.

Balgi, S and Dukkipati, A (2019) CUDA: Contradistinguisher for unsupervised domain adaptation. In: 19th IEEE International Conference on Data Mining, ICDM 2019, 8-11 November, 2019, Beijing; China, pp. 21-30.

Baligar, VP and Patnaik, LM and Nagabhushana, GR (2006) Low complexity, and high fidelity image compression using fixed threshold method. In: Information Sciences, 176 (6). pp. 664-675.

Baligar, Vishwanath P and Patnaik, LM and Nagabhushana, GR (2003) High compression and low order linear predictor for lossless coding of grayscale images. In: Image and Vision Computing, 21 (6). pp. 543-550.

Banchhor, S and Gajjala, R and Sabharwal, Y and Sen, S (2021) Generalizations of Length Limited Huffman Coding for Hierarchical Memory Settings. In: 41st IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, 15-17 Dec 2021, Virtual, Online.

Bandishti, Vinayaka and Pananilath, Irshad and Bondhugula, Uday (2012) Tiling stencil computations to maximize parallelism. In: 12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, 2012, New York.

Bandyapadhyay, Sayan and Basu Roy, Aniket (2017) Effectiveness of Local Search for Art Gallery Problems. In: 15th International Symposium on Algorithms and Data Structures, WADS 2017, 31 July 2017 - 2 August 2017, St. John’s, NL, Canada, pp. 49-60.

Bandyopadhyay, S and Aggarwal, M and Murty, MN (2021) A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention. In: 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 11-14 May 2021, pp. 554-565.

Bandyopadhyay, S and Biswas, A and Kara, H and Murty, MN (2020) A multilayered informative randomwalk for attributed social network embedding. In: Frontiers in Artificial Intelligence and Applications, 29 August-8 September 2020, Santiago de Compostela, Online; Spain, pp. 1738-1745.

Bandyopadhyay, S and Lokesh, N and Murty, MN (2019) Outlier aware network embedding for attributed networks. In: 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Annual Conference on Innovative Applications of Artificial Intelligence, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, 27 - 1 February 2019, Honolulu, pp. 12-19.

Bandyopadhyay, S and Lokesh, N and Vivek, SV and Murty, MN (2020) Outlier resistant unsupervised deep architectures for attributed network embedding. In: WSDM 2020 - Proceedings of the 13th International Conference on Web Search and Data Mining, 3-7 Feb., 2020, Houston, USA, pp. 25-33.

Bandyopadhyay, S and Peter, V (2021) Unsupervised constrained community detection via self-expressive graph neural network. In: 37th Conference on Uncertainty in Artificial Intelligence, UAI 2021, 1088, pp. 1078-1088.

Bandyopadhyay, S and Vishal Vivek, S and Murty, MN (2020) Integrating network embedding and community outlier detection via multiclass graph description. In: Frontiers in Artificial Intelligence and Applications, 29 August-8 September 2020, Santiago de Compostela, Online; Spain, pp. 976-983.

Bandyopadhyay, Sambaran and Murty, M Narasimha (2017) Axioms to Characterize Efficient Incremental Clustering. In: 23rd International Conference on Pattern Recognition (ICPR), DEC 04-08, 2016, Mexican Assoc Comp Vis Robot & Neural Comp, Cancun, MEXICO, pp. 450-455.

Bandyopadhyay, Sambaran and Nandanwar, Sharad and Deshmukh, Rishabh and Musti, Narasimha Murty (2018) DivGroup: A Diversified Approach to Divide Collection of Patterns into Uniform Groups. In: 24th International Conference on Pattern Recognition (ICPR), AUG 20-24, 2018, Chinese Acad Sci, Inst Automat, Beijing, PEOPLES R CHINA, pp. 964-969.

Bandyopadhyay, Sambaran and Narayanam, Ramasuri and Murty, Narasimha M (2018) A Generic Axiomatic Characterization for Measuring Influence in Social Networks. In: 24th International Conference on Pattern Recognition (ICPR), AUG 20-24, 2018, Chinese Acad Sci, Inst Automat, Beijing, PEOPLES R CHINA, pp. 2606-2611.

Bangalore, L and Choudhury, A and Patra, A (2020) The Power of Shunning: Efficient Asynchronous Byzantine Agreement Revisited. In: Journal of the ACM, 67 (3).

Bangalore, Laasya and Choudhury, Ashish and Patra, Arpita (2018) Almost-Surely Terminating Asynchronous Byzantine Agreement Revisited. In: 37th ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing (PODC), JUL 23-27, 2018, Royal Holloway Univ London, Egham, ENGLAND, pp. 295-304.

Barequet, Gill and De, Minati (2017) Voronoi Diagram for Convex Polygonal Sites with Convex Polygon-Offset Distance Function. In: 3rd International Conference on Algorithms and Discrete Applied Mathematics (CALDAM), FEB 16-18, 2017, Sancoale, INDIA, pp. 24-36.

Barman, S and Bhaskar, U and Krishna, A and Sundaram, RG (2020) Tight approximation algorithms for p-mean welfare under subadditive valuations. In: Leibniz International Proceedings in Informatics, LIPIcs, 7- 9 September 2020, Virtual, Pisa.

Barman, S and Bhaskar, U and Shah, N (2020) Optimal Bounds on the Price of Fairness for Indivisible Goods. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7-11 December 2020, Beijing; China, pp. 356-369.

Barman, S and Bhattacharyya, A and Ghoshal, S (2018) Testing sparsity over known and unknown bases. In: 35th International Conference on Machine Learning, ICML 2018, 10 - 15 July 2018, Stockholm, pp. 819-843.

Barman, S and Echenique, F (2020) The Edgeworth Conjecture with Small Coalitions and Approximate Equilibria in Large Economies. In: 21st ACM Conference on Economics and Computation, EC 2020, 13 - 17, July 2020, Hungary, pp. 765-766.

Barman, S and Echenique, F (2023) The Edgeworth Conjecture with Small Coalitions and Approximate Equilibria in Large Economies. In: Mathematics of Operations Research, 48 (1). pp. 313-331.

Barman, S and Fawzi, O and Ghoshal, S and Gürpınar, E (2020) Tight Approximation Bounds for Maximum Multi-coverage. In: 21st International Conference on Integer Programming and Combinatorial Optimization, IPCO 2020, 8-10 Jun 2020, London, pp. 66-77.

Barman, S and Fawzi, O and Ghoshal, S and Gürpınar, E (2022) Tight approximation bounds for maximum multi-coverage. In: Mathematical Programming, 192 (1-2). pp. 443-476.

Barman, S and Ghalme, G and Jain, S and Kulkarni, P and Narang, S (2019) Fair division of indivisible goods among strategic agents. In: 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019, 13 - 17 May 2019, Montreal, pp. 1811-1813.

Barman, S and Gopalan, A and Saha, A (2018) Online learning for structured loss spaces. In: 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, 2 - 7 February 2018, New Orleans, pp. 2696-2703.

Barman, S and Krishna, A and Kulkarni, P and Narang, S (2024) Sublinear approximation algorithm for nash social welfare with XOS valuations. In: UNSPECIFIED.

Barman, S and Krishna, A and Narahari, Y and Sadhukan, S (2022) Achieving Envy-Freeness with Limited Subsidies under Dichotomous Valuations. In: 31st International Joint Conference on Artificial Intelligence, IJCAI 2022, 23 - 29 July 2022, Vienna, pp. 60-66.

Barman, S and Krishna, A and Narahari, Y and Sadhukhan, S (2022) Nash Welfare Guarantees for Fair and Efficient Coverage. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2 - 15 December 2022, Troy, pp. 256-272.

Barman, S and Krishnamurthy, R and Rahul, S (2021) Optimal Algorithms for Range Searching over Multi-Armed Bandits. In: 30th International Joint Conference on Artificial Intelligence, IJCAI 2021, 19-27 Aug 2021, Virtual, Online, pp. 2177-2183.

Barman, S and Krishnamurthy, SK (2020) Approximation Algorithms for Maximin Fair Division. In: ACM Transactions on Economics and Computation, 8 (1).

Barman, S and Kulkarni, P (2023) Approximation Algorithms for Envy-Free Cake Division with Connected Pieces. In: 50th International Colloquium on Automata, Languages, and Programming, ICALP 2023, 10 - 14 July 2023, Paderborn.

Barman, S and Rathi, N (2020) Fair Cake Division under Monotone Likelihood Ratios. In: 21st ACM Conference on Economics and Computation, EC 2020, 13-17, July 2020, Hungary, pp. 401-437.

Barman, S and Verma, P (2022) Approximating Nash Social Welfare Under Binary XOS and Binary Subadditive Valuations. In: 17th International Conference on Web and Internet Economics, WINE 2021, 14 - 17 December 2021, Virtual, Online, pp. 373-390.

Barman, Siddharth (2018) APPROXIMATING NASH EQUILIBRIA AND DENSE SUBGRAPHS VIA AN APPROXIMATE VERSION OF CARATHEODORY'S THEOREM. In: SIAM JOURNAL ON COMPUTING, 47 (3). pp. 960-981.

Barman, Siddharth and Fawzi, Omar (2018) Algorithmic Aspects of Optimal Channel Coding. In: IEEE TRANSACTIONS ON INFORMATION THEORY, 64 (2). pp. 1038-1045.

Barman, Siddharth and Krishnamurthy, Sanath Kumar and Vaish, Rohit (2018) Greedy Algorithms for Maximizing Nash Social Welfare. In: 17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018, 10 July 2018, Sweden, pp. 7-13.

Barua, Rana and Roy, Suman and Chaochen, Zhou (1999) Completeness of Neighbourhood Logic. [Book Chapter]

Basavaraju, M and Chandran, LS and Karthick, T (2012) Maximum weight independent sets in hole- and dart-free graphs. In: Discrete Applied Mathematics, 160 (16-17). pp. 2364-2369.

Basavaraju, M and Sunil Chandran, L and Francis, MC and Naskar, A (2024) Weak Total Coloring Conjecture and Hadwiger�s Conjecture on Total Graphs. In: Electronic Journal of Combinatorics, 31 (1).

Basavaraju, Manu and Chandran, Sunil L (2009) Acyclic Edge Coloring of Graphs with Maximum Degree 4. In: Journal Of Graph Theory, 61 (3). pp. 192-209.

Basavaraju, Manu and Chandran, Sunil L (2010) Acyclic Edge Coloring of Triangle Free Planar Graphs CoRR abs. UNSPECIFIED.

Basavaraju, Manu and Chandran, Sunil L (2012) Acyclic Edge Coloring of Triangle-Free Planar Graphs. In: JOURNAL OF GRAPH THEORY, 71 (4). pp. 365-385.

Basavaraju, Manu and Chandran, Sunil L (2012) Acyclic edge coloring of 2-degenerate graphs. In: Journal of Graph Theory, 69 (1). pp. 1-27.

Basavaraju, Manu and Chandran, Sunil L and Cohen, Nathann and Havet, Frederic and Mueller, Tobias (2011) Acyclic Edge-Coloring of Planar Graphs. In: SIAM Journal on Discrete Mathematics, 25 (2). pp. 463-478.

Basavaraju, Manu and Chandran, Sunil L and Golumbic, Martin Charles and Mathew, Rogers and Rajendraprasad, Deepak (2016) Separation Dimension of Graphs and Hypergraphs. In: 40th International Workshop on Graph-Theoretic Concepts in Computer Science (WG), JUN 25-27, 2014, Nouan le Fuzelier, FRANCE, pp. 187-204.

Basavaraju, Manu and Chandran, Sunil L and Rajendraprasad, Deepak and Ramaswamy, Arunselvan (2014) Rainbow Connection Number of Graph Power and Graph Products. In: GRAPHS AND COMBINATORICS, 30 (6). pp. 1363-1382.

Basavaraju, Manu and Chandran, Sunil L and Ramaswamy, Arunselvan and Rajendraprasad, Deepak (2010) Rainbow Connection Number and Radius. UNSPECIFIED.

Basavaraju, Manu and Chandran, Sunil L (2008) Acyclic edge coloring of subcubic graphs. In: Discrete Mathematics, 308 (24). pp. 6650-6653.

Basavaraju, Manu and Chandran, Sunil L (2009) A note on acyclic edge coloring of complete bipartite graphs. In: Discrete Mathematics, 309 (13). pp. 4646-4648.

Basavaraju, Manu and Chandran, Sunil L and Kummini, Manoj (2010) d-Regular Graphs of Acyclic Chromatic Index at Least d+2. In: Journal of Graph Theory, 63 (3). pp. 226-230.

Basu, Arkaprava and Greathouse, Joseph L and Venkataramani, Guru and Vesely, Jan (2018) Interference from GPU System Service Requests. In: 2018 IEEE International Symposium on Workload Characterization, IISWC 2018, 30 September - 2 October 2018, Raleigh; United States, pp. 179-190.

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Bhattacharyya, Arnab and Xie, Ning (2015) Lower bounds for testing triangle-freeness in Boolean functions. In: COMPUTATIONAL COMPLEXITY, 24 (1). pp. 65-101.

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Bhattacharyya, C and Vinay, V (2020) Suppress, and Not Just Flatten: Strategies for Rapid Suppression of COVID19 Transmission in Small World Communities. In: Journal of the Indian Institute of Science, 100 (4). pp. 849-862.

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Chakraborty, D and Chandran, LS and Padinhatteeri, S and Pillai, RR (2021) Algorithms and Complexity of s-Club Cluster Vertex Deletion. In: 32nd International Workshop on Combinatorial Algorithms, IWOCA 2021, 5-7 Jul 2021, pp. 152-164.

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Chakravarty, Saswata and Padakandla, Sindhu and Bhatnagar, Shalabh (2014) A simulation-based algorithm for optimal pricing policy under demand uncertainty. In: INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH, 21 (5). pp. 737-760.

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Chan, TM and Rahul, S (2021) Simple multi-pass streaming algorithms for skyline points and extreme points. In: 38th International Symposium on Theoretical Aspects of Computer Science, STACS 2021, 16 -19 March 2021, Virtual, Saarbrucken.

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Chandra, Praphul and Gujar, Sujit and Narahari, Y (2016) Crowdsourced Referral Auctions. In: 22nd European Conference on Artificial Intelligence (ECAI), AUG 29-SEP 02, 2016, Hague, NETHERLANDS, pp. 1654-1655.

Chandramouli, A and Choudhury, A and Patra, A (2022) A Survey on Perfectly Secure Verifiable Secret-sharing. In: ACM Computing Surveys, 54 (11s).

Chandran, LS (2001) Edge connectivity vs vertex connectivity in chordal graphs. In: of 7th Annual International Computing and Combinatorics Conference (COCOON'01), 20-23 Aug. 2001, Guilin, China, pp. 384-389.

Chandran, Sunil L (1999) A high girth graph construction and a lower bound for hitting set size for combinatorial rectangles. In: Proceedings 19th FST & TCS 1999: Nineteenth Conference on the Foundations of Software Technology and Theoretical Computer Science, 13-15 Dec. 1999, Chennai, India, pp. 283-290.

Chandran, LS (2001) A linear time algorithm for enumerating all the minimum and minimal separators of a chordal graph. In: 7th Annual International Computing and Combinatorics Conference,COCOON'01 (Lecture Notes in Computer Science), 20-23 Aug 2001, Guilin, China, pp. 308-317.

Chandran, LS and Das, Anita and Shah, CD (2009) Cubicity, boxicity, and vertex cover. In: Discrete Mathematics, 309 (8). pp. 2488-2496.

Chandran, LS and Das, SK and Hell, P and Padinhatteeri, S and Pillai, RR (2021) Template-Driven Rainbow Coloring of Proper Interval Graphs. In: 7th International Conference on Algorithms and Discrete Applied Mathematics, 11-13 Feb 2021, Rupnagar, pp. 452-470.

Chandran, LS and Hashim, T and Jacob, D and Mathew, R and Rajendraprasad, D and Singh, N (2024) New bounds on the anti-Ramsey numbers of star graphs via maximum edge q-coloring. In: Discrete Mathematics, 347 (4).

Chandran, LS and Ibarra, L and Ruskey, F and Sawada, J (2003) Generating and characterizing the perfect elimination orderings of a chordal graph. In: Theoretical Computer Science, 307 (2). pp. 303-317.

Chandran, LS and Lahiri, A and Singh, N (2021) Improved approximation for maximum edge colouring problem. In: Discrete Applied Mathematics .

Chandran, LS and Mathew, KA (2009) An upper bound for Cubicity in terms of Boxicity. In: Discrete Mathematics, 309 (8). pp. 2571-2574.

Chandran, LS and Mathew, KA (2009) An upper bound for Cubicity in terms of Boxicity. In: Discrete Mathematics, 309 (8). pp. 2571-2574.

Chandran, LS and Mathew, KA (2009) An upper bound for Cubicity in terms of Boxicity. In: Discrete Mathematics, 309 (8). pp. 2571-2574.

Chandran, LS and Mathew, KA (2009) An upper bound for Cubicity in terms of Boxicity. In: Discrete Mathematics, 309 (8). pp. 2571-2574.

Chandran, LS and Mathew, KA (2009) An upper bound for Cubicity in terms of Boxicity. In: Discrete Mathematics, 309 (8). pp. 2571-2574.

Chandran, LS and Mathew, KA (2009) An upper bound for Cubicity in terms of Boxicity. In: Discrete Mathematics, 309 (8). pp. 2571-2574.

Chandran, LS and Mathew, KA (2009) An upper bound for Cubicity in terms of Boxicity. In: Discrete Mathematics, 309 (8). pp. 2571-2574.

Chandran, LS and Mathew, KA (2009) An upper bound for Cubicity in terms of Boxicity. In: Discrete Mathematics, 309 (8). pp. 2571-2574.

Chandran, LS and Mathew, KA (2009) An upper bound for Cubicity in terms of Boxicity. In: Discrete Mathematics, 309 (8). pp. 2571-2574.

Chandran, LS and Mathew, KA (2009) An upper bound for Cubicity in terms of Boxicity. In: Discrete Mathematics, 309 (8). pp. 2571-2574.

Chandran, LS and Mathew, KA (2009) An upper bound for Cubicity in terms of Boxicity. In: Discrete Mathematics, 309 (8). pp. 2571-2574.

Chandran, LS and Mathew, KA (2009) An upper bound for Cubicity in terms of Boxicity. In: Discrete Mathematics, 309 (8). pp. 2571-2574.

Chandran, LS and Mathew, KA (2009) An upper bound for Cubicity in terms of Boxicity. In: Discrete Mathematics, 309 (8). pp. 2571-2574.

Chandran, LS and Mathew, KA (2009) An upper bound for Cubicity in terms of Boxicity. In: Discrete Mathematics, 309 (8). pp. 2571-2574.

Chandran, LS and Mathew, KA (2009) An upper bound for Cubicity in terms of Boxicity. In: Discrete Mathematics, 309 (8). pp. 2571-2574.

Chandran, LS and Mathew, KA (2009) An upper bound for Cubicity in terms of Boxicity. In: Discrete Mathematics, 309 (8). pp. 2571-2574.

Chandran, LS and Mathew, KA (2009) An upper bound for Cubicity in terms of Boxicity. In: Discrete Mathematics, 309 (8). pp. 2571-2574.

Chandran, LS and Padinhatteeri, S and Ravi Shankar, K (2020) List Distinguishing Number of pth Power of Hypercube and Cartesian Powers of a Graph. In: 6th International Conference on Algorithms and Discrete Applied Mathematics, 13-15 FEB 2020, Hyderabad, pp. 235-247.

Chandran, LS and Sivadasan, N (2007) Boxicity and treewidth. In: Journal of Combinatorial Theory, Series B, 97 (5). pp. 733-744.

Chandran, N and Kanukurthi, B and Obbattu, SLB and Sekar, S (2022) Short Leakage Resilient and Non-malleable Secret Sharing Schemes. In: 42nd Annual International Cryptology Conference, CRYPTO 2022, 15 - 18 August 2022, Santa Barbara, pp. 178-207.

Chandran, S and Issac, D and Karrenbauer, A (2017) On the parameterized complexity of BicliqueCover and partition. In: 11th International Symposium on Parameterized and Exact Computation, IPEC 2016, 24 - 26 August 2016, Aarhus.

Chandran, Sunil and Ram, Shankar L (2002) On the Number of Minimum Cuts in a Graph. IISc-­CSA-­2002­-5.

Chandran, Sunil L (2003) A High Girth Graph Construction. In: SIAM Journal on Discrete Mathematics, 16 (3). pp. 366-370.

Chandran, Sunil L (2003) A lower bound for the hitting set size for combinatorial rectangles and an application. In: Information Processing Letters, 86 (2). pp. 75-78.

Chandran, Sunil L and Chitnis, Rajesh and Kumar, Ramanjit (2013) On the SIG-dimension of trees under the L (a)-metric. In: Graphs and Combinatorics, 29 (4). pp. 773-794.

Chandran, Sunil L and Francis, Mathew and Sivadasan, Naveen (2006) Geometric representations of graphs in low dimension. In: 12th Annual International Conference on Computing and Combinatorics (COCOON-2006), , August . 2006, Taiwan, Taipei.

Chandran, Sunil L and Francis, Mathew C and Mathew, Rogers (2011) Boxicity of Leaf Powers. In: Graphs and Combinatorics, 27 (1). pp. 61-72.

Chandran, Sunil L and Francis, Mathew C and Mathew, Rogers (2011) Chordal Bipartite Graphs with High Boxicity. In: Graphs and Combinatorics, 27 (3). pp. 353-362.

Chandran, Sunil L and Francis, Mathew C and Mathew, Rogers (2008) Finding a Box Representation for a Graph in $O(n^2\Delta^2\ln n)$ time. In: ICIT '08 Proceedings of the 2008 International Conference on Information Technology, 17-20 Dec. 2008 , Washington, DC.

Chandran, Sunil L and Francis, Mathew C and Sivadasan, Naveen (2013) Cubicity and Bandwidth. In: GRAPHS AND COMBINATORICS, 29 (1). pp. 45-69.

Chandran, Sunil L and Francis, Mathew C and Sivadasan, Naveen (2008) On the Cubicity of AT-free graphs and circular arc graphs,Graph Theory, Computational Intelligence and Thought. In: A conference celebrating M.C. Golumbic's 60th birthday in Israel .

Chandran, Sunil L and Francis, Mathew C and Sivadasan, Naveen (2008) Representing graphs as the intersection of axis-parallel cubes. In: MCDES (Managing Complexity in Distributed World), IISc Centenary Conference..

Chandran, Sunil L and Francis, Mathew C and Suresh, Santhosh (2009) Boxicity of Halin graphs. In: Discrete Mathematics, 309 (10). pp. 3233-3237.

Chandran, Sunil L and Imrich, Wilfried and Mathew, Rogers and Rajendraprasad, Deepak (2015) Boxicity and cubicity of product graphs. In: EUROPEAN JOURNAL OF COMBINATORICS, 48 (SI). pp. 100-109.

Chandran, Sunil L and Imrich, Wilfried and Mathew, Rogers and Rajendraprasad, Deepak (2015) Boxicity and cubicity of product graphs. In: EUROPEAN JOURNAL OF COMBINATORICS, 48 (SI). pp. 100-109.

Chandran, Sunil L and Issac, Davis and Zhou, Sanming (2016) Hadwiger's Conjecture and Squares of Chordal Graphs. In: 22nd International Computing and Combinatorics Conference (COCOON), AUG 02-04, 2016, Ho Chi Minh City, VIETNAM, pp. 417-428.

Chandran, Sunil L and Issac, Davis and Zhou, Sanming (2019) Hadwiger's conjecture for squares of 2-trees. In: EUROPEAN JOURNAL OF COMBINATORICS, 76 . pp. 159-174.

Chandran, Sunil L and Kavitha, T (2006) The carvingwidth of hypercubes. In: Discrete Mathematics, 306 (18). pp. 2270-2274.

Chandran, Sunil L and Mathew, Rogers (2013) Bipartite Powers of k-chordal Graphs. In: DISCRETE MATHEMATICS AND THEORETICAL COMPUTER SCIENCE, 15 (2). pp. 49-58.

Chandran, Sunil L and Mathew, Rogers and Rajendraprasad, Deepak (2016) Upper bound on cubicity in terms of boxicity for graphs of low chromatic number. In: DISCRETE MATHEMATICS, 339 (2). pp. 443-446.

Chandran, Sunil L and Mathew, Rogers and Rajendraprasad, Deepak and Sharma, Roohani (2013) Product Dimension of Forests and Bounded Treewidth Graphs. In: ELECTRONIC JOURNAL OF COMBINATORICS, 20 (3).

Chandran, Sunil L and Mathew, Rogers and Sivadasan, Naveen (2010) Boxicity of Line Graphs. UNSPECIFIED.

Chandran, Sunil L and Mathew, Rogers and Sivadasan, Naveen (2011) Boxicity of line graphs. In: Discrete Mathematics, 311 (21). pp. 2359-2367.

Chandran, Sunil L and Rajendraprasad, Deepak (2012) Rainbow colouring of split and threshold Graphs. In: Computing and Combinatorics, 7434 . pp. 181-192.

Chandran, Sunil L and Rajendraprasad, Deepak and Singh, Nitin (2014) On Additive Combinatorics of Permutations of Z(n). In: DISCRETE MATHEMATICS AND THEORETICAL COMPUTER SCIENCE, 16 (2). pp. 35-40.

Chandran, Sunil L and Rajendraprasad, Deepak and Tesar, Marek (2017) Rainbow colouring of split graphs. In: DISCRETE APPLIED MATHEMATICS, 216 (1, SI). pp. 98-113.

Chandran, Sunil L and Ram, Shankar L (2002) Approximations for ATSP with Parametrized Triangle Inequality. [Book Chapter]

Chandran, Sunil L and Ram, Shankar L (2004) On the Number of Minimum cuts in a Graph. In: SIAM Journal on Discrete Mathematics, 18 (1). pp. 177-194.

Chandran, Sunil L and Ram, Shankar L (2007) On the relationship between ATSP and the cycle cover problem. In: Theoretical Computer Science, 370 (1-3). pp. 218-228.

Chandran, Sunil L and Sivadasan, Naveen (2007) On the Hadwiger’s conjecture for graph products. In: Discrete Mathematics, 307 (2). pp. 266-273.

Chandran, Sunil L and Das, Anita and Issac, Davis and van Leeuwen, Erik Jan (2018) Algorithms and Bounds for Very Strong Rainbow Coloring. In: 13th Latin American Theoretical Informatics Symposium (LATIN), APR 16-19, 2018, Buenos Aires, ARGENTINA, pp. 625-639.

Chandran, Sunil L and Das, Anita and Rajendraprasad, Deepak and Varma, NithinM (2012) Rainbow connection number and connected dominating sets. In: The Sixth European Conference on Combinatorics, Graph Theory and Applications, EuroComb 2011, August 29-September 2, 2011, Budapest, hungary, pp. 206-218.

Chandran, Sunil L and Das, Anita and Sivadasan, Naveen (2009) On the cubicity of bipartite graphs. In: Information Processing Letters, 109 (9). pp. 432-435.

Chandran, Sunil L and Francis, Mathew C and Sivadasan, Naveen (2008) Boxicity and maximum degree. In: Journal of Combinatorial Theory - Series B, 98 (2). pp. 443-445.

Chandran, Sunil L and Francis, Mathew C and Sivadasan, Naveen (2010) Geometric Representation of Graphs in Low Dimension Using Axis Parallel Boxes. In: Algorithmica, 56 (2). pp. 129-140.

Chandran, Sunil L and Francis, Mathew C and Sivadasan, Naveen (2009) On the Cubicity of AT-Free Graphs and Circular-Arc Graphs. In: conference on Graph Theory, Computational Intelligence and Thought, SEP 19, 2008-SEP 25, 2009, Jerusalem.

Chandran, Sunil L and Francis, Mathew C and Sivadasan, Naveen (2009) On the Cubicity of Interval Graphs. In: Graphs and combinatorics, 25 (2). pp. 169-179.

Chandran, Sunil L and Kostochka, Alexandr and Raju, Krishnam J (2008) Hadwiger Number and the Cartesian Product of Graphs. In: Graphs and Combinatorics, 24 (4). pp. 291-301.

Chandran, Sunil L and Narayanaswamy, NS (2009) On the Arrangement of Cliques in Chordal Graphs with respect to the Cuts. In: 10th International Computing and Combinatorics Conference, AUG 17-20, 2004, Cheju Isl, SOUTH KOREA, pp. 11-19.

Chandran, Sunil L and Sivadasan, Naveen (2008) The cubicity of hypercube graphs. In: Discrete Mathematics, 308 (23). pp. 5795-5800.

Chandrasekaran, N and lyengar, Sitharama S and Chen, Peter P (1988) A denotational semantics for the generalized ER model and a simple ER algebra. In: International Journal of Computer Mathematics, 24 (2). pp. 99-113.

Chandrashekar, TS and Narahari, Y (2007) A Shapley value analysis to coordinate the formation of procurement. In: IEEE International Conference on Automation Science and Engineering, SEP 22-25, 2007, Scottsdale, AZ.

Chandrashekar, TS and Narahari, Y (2014) Procurement Network Formation: A Cooperative Game Theoretic Approach. [Book Chapter]

Chandrashekar, TS and Narahari, Y (2007) A Shapley Value Analysis to Coordinate the Formation of Procurement Networks. In: CASE 2007. IEEE International Conference on Automation Science and Engineering, 2007., 22-25 Sept. 2007 , Scottsdale, AZ .

Chandrashekar, TS and Narahari, Y (2007) The core and shapley value analysis for cooperative formation of procurement networks. In: 9th IEEE International Conference on E-Commerce Technology/4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, JUL 23-26, 2007, Tokyo.

Chandrashekar, TS and Narahari, Y and Rosa, Charles H and Kulkarni, Devadatta M and Tew, Jeffrey D and Dayama, Pankaj (2007) Auction-Based Mechanisms for Electronic Procurement. In: IEEE Transactions on Automation Science and Engineering, 4 (3). pp. 297-321.

Chandrashekar, TS and Narahari, Yadati (2005) Economic Mechanisms for Shortest Path Cooperative Games with Incomplete Information. [Book Chapter]

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Ganesh, C and Orlandi, C and Tschudi, D and Zohar, A (2022) Virtual ASICs: Generalized Proof-of-Stake Mining in Cryptocurrencies. In: 16th International Workshop on Data Privacy Management, DPM 2021, and 5th International Workshop on Cryptocurrencies and Blockchain Technology, CBT 2021 held in conjunction with ESORICS 2021, 8 October 2021, Virtual, Online, pp. 173-191.

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Ganesh, S and Deb, R and Thoppe, G and Budhiraja, A (2023) Does Momentum Help in Stochastic Optimization? A Sample Complexity Analysis. In: 39th Conference on Uncertainty in Artificial Intelligence, UAI 2023, 31 July - 4 August 2023, Pittsburgh, pp. 602-612.

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Garg, A and Kayal, N and Saha, C (2020) Learning sums of powers of low-degree polynomials in the non-degenerate case. In: 61st IEEE Annual Symposium on Foundations of Computer Science, FOCS 2020, 16-19 Nov 2020, Durham; United States, pp. 889-899.

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Garg, Dinesh and Bhattacharya, Sourangshu and Sundararajan, S and Shevade, Shirish (2012) Mechanism design for cost optimal PAC learning in the presence of strategic noisy annotators. In: UAI 2012 : 28th Conference on Uncertainty in Artificial Intelligence, August 15-17, 2012, Catalina Island, USA.

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Garg, Dinesh and Narahari, Y (2009) An Optimal Mechanism for Sponsored Search Auctions on the Web and Comparison With Other Mechanisms. In: IEEE Transactions on Automation Science and Engineering, 6 (4). pp. 641-657. (In Press)

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Gupta, N and Saha, C and Thankey, B (2023) Equivalence Test for Read-Once Arithmetic Formulas. In: 34th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2023, 22-25 January 2023, Florence, Italy, pp. 4205-4272.

Gupta, N and Saha, C and Thankey, B (2020) A super-quadratic lower bound for depth four arithmetic circuits. In: Leibniz International Proceedings in Informatics, LIPIcs, 28 July - 31 July 2020, Virtual, Online.

Gupta, R and Kanade, A and Shevade, S (2019) Deep reinforcement learning for syntactic error repair in student programs. In: 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Annual Conference on Innovative Applications of Artificial Intelligence, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, 27 January - 1 February 2019, Honolulu, pp. 930-937.

Gupta, R and Kanade, A and Shevade, S (2019) Neural attribution for semantic bug-localization in student programs. In: 33rd Annual Conference on Neural Information Processing Systems, NeurIPS 2019, 8-14 December 2019, Vancouver; Canada.

Gupta, R and Pal, S and Kanade, A and Shevade, S (2017) DeepFix: Fixing Common C language errors by deep learning. In: 31st AAAI Conference on Artificial Intelligence, AAAI 2017, 4 - 10 February 2017, San Francisco, pp. 1345-1351.

Gupta, S and Dukkipati, A (2020) Winning an election: On emergent strategic communication in multi-agent networks. In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 13-19 May 2020, Virtual, Auckland, pp. 1861-1863.

Gupta, S and Sharma, G and Dukkipati, A (2019) A generative model for dynamic networks with applications. In: 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Annual Conference on Innovative Applications of Artificial Intelligence,, 27 January 2019 - 1 February 2019, Honolulu, pp. 7842-7849.

Gupta, Shubham and K, Gururaj and Dukkipati, Ambedkar and Castro, Rui M (2022) Equipping SBMs with RBMs: an interpretable approach for analysis of networks with covariates. In: Journal of Complex Networks, 10 (2). ISSN 2051-1310

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Kumar, Mohan J and Patnaik, LM (1991) Performance studies of a transputer-based extended hypercube. In: Journal of the Indian Institute of Science, 71 (2). pp. 117-123.

Kumar, PP and Madhavan, CEV (1993) Shortest watchman tours in weak visibility polygons. In: CCCG. Proceedings of the Fifth Canadian Conference on Computational Geometry, 5-9 Aug. 1993, Waterloo, Ont., Canada, pp. 91-96.

Kumar, A and Balaji, V and Chandrashekar, MA and Dukkipati, A and Vadhiyar, S (2022) Graph Convolutional Neural Networks for Alzheimer's Classification with Transfer Learning and HPC Methods. In: 36th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022, 30 May 2022 through 3 June 2022, pp. 186-195.

Kumar, A and Bhattamishra, S and Bhandari, M and Talukdar, P (2019) Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation. In: 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2019, 2-7 June 2019, Minneapolis; United States, pp. 3609-3619.

Kumar, A and Biswas, A and Sanyal, S (2018) Ecommercegan: A generative adversarial network for e-commerce. In: 6th International Conference on Learning Representations, ICLR 2018, 30-3 May 2018, Vancouver; Canada.

Kumar, A and Louis, A and Tulsiani, M (2018) Finding pseudorandom colorings of pseudorandom graphs. In: 37th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2017), 12 - 14 December 2017, Kanpur.

Kumar, Anil VS and Arya, Sunil and Ramesh, H (2000) Hardness of set cover with intersection 1. In: Automata Languages and Programming, 1853 . pp. 624-635.

Kumar, Anil VS and Ramesh, H (2001) Coupling vs. conductance for the Jerrum-Sinclair chain. In: Random Structures and Algorithms, 18 (1). pp. 1-17.

Kumar, Anil VS and Ramesh, H (2003) Covering Rectilinear Polygons with Axis-Parallel Rectangles. In: SIAM Journal on Computing, 32 (6). pp. 1509-1541.

Kumar, Anil VS and Ramesh, H (1999) Markovian Coupling vs. Conductance for the Jerrum-Sinclair Chain. In: 40th Annual Symposium on Foundations of Computer Science,1999, 17-19 October, New York, 241 -251.

Kumar, Bharath M and Lakshminarayanan, R and Srikant, YN (2000) A Study of Automatic Migration of Programs Across the Java Event Models. In: ACM SIGSOFT Software Engineering Notes, 25 (3). pp. 24-29.

Kumar, Bharath M and Srikant, YN (2004) The Best Nurturers in Computer Science Research. IISc-CSA-TR-2004-10.

Kumar, Bharath M and Srikant, YN and Lakshminarayanan, R (2002) On the use of connector libraries in distributed software architectures. In: Software Engineering Notes, 27 (1). pp. 45-52.

Kumar, Binod and Jindal, Ankit and Tudu, Jaynarayan and Pandey, Brajesh and Singh, Virendra (2017) Revisiting Random Access Scan for Effective hnhancement of Post-silicon Observability. In: 23rd IEEE International Symposium on On-Line Testing and Robust System Design (IOLTS), JUL 03-05, 2017, Thessaloniki, GREECE, pp. 132-137.

Kumar, Binod and Nehru, Boda and Pandey, Brajesh and Singh, Virendra and Tudu, Jaynarayan (2017) A Technique for Low Power, Stuck-at Fault Diagnosable and Reconfigurable Scan Architecture. In: IEEE East-West Design and Test Symposium (EWDTS), OCT 14-17, 2016, Yerevan, ARMENIA.

Kumar, Binod and Nehru, Boda and Pandey, Brajesh and Tudu, Jaynarayan (2017) Skip-scan: A methodology for test time reduction. In: ter Science and Automation, Indian Institute of Science, Bangalore, India, 24-27 May 2016, Guwahati, India, pp. 1-6.

Kumar, Deepak C and Sarma, VVS (1996) Towards building an intelligent decision support system for project management. In: Sadhana : Academy Proceedings in Engineering Sciences, 21 (part 3). pp. 327-343.

Kumar, Dinesh A and Dukkipati, Ambedkar (2012) A Two Stage Selective Averaging LDPC Decoding. In: IEEE International Symposium on Information Theory, JUL 01-06, 2012 , Cambridge, MA.

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Kumar, JSS and Komondoor, R (2023) Controller Synthesis for Reactive Systems with Communication Delay by Formula Translation. In: UNSPECIFIED, pp. 292-311.

Kumar, MJ and Patnaik, LM and Nag, B (1998) Fault-tolerant message routing in the extended hypercube. In: Journal of Systems Architecture, 44 (9-10). pp. 691-702.

Kumar, MJ and Venkatesh, S and Kieronska, D and Patnaik, LM (1995) Hierarchical Directory-Based Shared Memory Architecture. In: Computer Journal, The, 38 (3). pp. 207-216.

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Kumar, Narendra and Rajagopalan, Padmini and Pankajakshan, Praveen and Bhattacharyya, Arnab and Sanyal, Suchismita and Balachandran, Janakiraman and Waghmare, Umesh V (2019) Machine Learning Constrained with Dimensional Analysis and Scaling Laws: Simple, Transferable, and Interpretable Models of Materials from Small Datasets. In: CHEMISTRY OF MATERIALS, 31 (2). pp. 314-321.

Kumar, Naresh and Hansdah, RC and Maity, Soumyadev (2017) A design and classification framework for routing protocols in MANETs. In: International Journal of Wireless and Mobile Computing, 12 (4). pp. 364-383. ISSN 1741-1084

Kumar, P and Ansari, MH and Sharma, A (2020) MBC-CA: Multithreshold binary conversion based salt-and-pepper noise removal using cellular automata. In: Communications in Computer and Information Science, 27-29 September 2019, Springer, Singapore, pp. 195-204.

Kumar, P and Sahoo, S and Shah, V and Kondameedi, V and Jain, A and Verma, A and Bhattacharyya, C and Viswanathan, V (2021) DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder. In: 35th AAAI Conference on Artificial Intelligence, AAAI 2021, 2 February 2021 through 9 February 2021, Virtual, pp. 1836-1844.

Kumar, P Sreenivasa and Madhavan, C E Veni (1998) Minimal vertex separators of chordal graphs. In: Discrete Applied Mathematics, 89 (1-3). pp. 155-168.

Kumar, PP and Ansari, MH and Sharma, AM (2020) MBC-CA: Multithreshold binary conversion based salt-and-pepper noise removal using cellular automata. In: International Conference on Computer Vision and Image Processing, 27 Sept. 29 2019, Jaipur, pp. 195-204.

Kumar, PS and Madhavan, CEV (2002) Clique tree generalization and new subclasses of chordal graphs. In: Discrete Applied Mathematics, 117 (1-3). pp. 109-131.

Kumar, Prem G and Babu, Phanendra G (1994) Optimal network partitioning for fault-tolerant network management using evolutionary programming. In: Information Processing Letters, 50 (3). pp. 145-149.

Kumar, S and Sreenivasan, V and Talukdar, P and Pestilli, F and Sridharan, D (2019) ReAl-life: Accelerating the discovery of individualized brain connectomes on GPUs. In: 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Annual Conference on Innovative Applications of Artificial Intelligence, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, 27 January 2019through 1 February 2019, Honolulu, pp. 630-638.

Kumar, Sandeep and Gopinath, K and Rocchi, Laura and Sukumar, Poorna Talkad and Sampath, Jayanth and Kulkarni, Suyameendra (2018) Towards a Portable Human Gait Analysis & Monitoring System. In: 2018 INTERNATIONAL CONFERENCE ON SIGNALS AND SYSTEMS (ICSIGSYS), MAY 01-03, 2018, Bali, INDONESIA, pp. 174-180.

Kumar, Sandeep and Padakandla, Sindhu and Chandrashekar, L and Parihar, Priyank and Gopinath, K and Bhatnagar, Shalabh (2017) Scalable Performance Tuning of Hadoop MapReduce: A Noisy Gradient Approach. In: 10th IEEE International Conference on Cloud Computing (CLOUD), JUN 25-30, 2017, Honolulu, HI, pp. 375-382.

Kumar, Santhosh V and Nanjundiah, R and Thazhuthaveetil, MJ and Govindarajan, R (2008) Impact of message compression on the scalability of an atmospheric modeling application on clusters. In: Parallel Computing, 34 (1). pp. 1-16.

Kumar, Santhosh V and Thazhuthaveetil, MJ and Govindarajan, R (2006) Exploiting Programmable Network Interfaces for Parallel Query Execution in Workstation Clusters. In: 20th International Parallel and Distributed Processing Symposium, 2006. IPDPS 2006., 25-29 April 2006, Rhodes Island.

Kumar, Santhosh V and Thazhuthaveetil, MJ and Govindarajan, R (2005) Offloading Bloom Filter Operations to Network Processor for Parallel Query Processing in Cluster of Workstations. [Book Chapter]

Kumar, V (2022) Privately Executable Examples. In: 27th ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2022, 8 - 13 July 2022, Dublin, pp. 283-289.

Kumar, Vinodh R and Narayanan, Lakshmi B and Govindarajan, R (2002) Dynamic path profile aided recompilation in a JAVA just-in-time compiler. In: Lecture Notes in Computer Science, 2552 . pp. 495-505.

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Kumaran, A and Chowdary, Pavan K and Haritsa, Jayant R (2006) On Pushing Multilingual Query Operators into Relational Engines. In: Proceedings of the 22nd International Conference on Data Engineering, 2006. ICDE '06., 03-07 April 2006 , Atlanta, USA.

Kumaran, A and Haritsa, Jayant R (2004) LexEQUAL: Supporting Multiscript Matching in Database Systems. [Book Chapter]

Kumaran, A and Haritsa, Jayant R (2004) LexEQUAL:Supporting Multilexical Queries in SQL. In: 20th International Conference on Data Engineering, 2004, 30 March-2 April, Massachusetts,USA, 845 -845.

Kumaran, A and Haritsa, Jayant R (2004) On Semantic Matching of Multilingual Attributes in Relational Systems. In: thirteenth ACM international conference on Information and knowledge management, 8-13 November 2004, Washington, D.C., USA, pp. 230-231.

Kumaran, A and Haritsa, Jayant R (2005) SemEQUAL: Multilingual Semantic Matching in Relational Systems. [Book Chapter]

Kundu, Achintya and Tankasali, Vikram and Bhattacharyya, Chiranjib and Ben-Tal, Aharon (2010) Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions. In: International Conference on Neural Information Processing Systems, NIPS, 2010, Bangalore.

Kundu, JN and Kulkarni, A and Singh, A and Jampani, V and Babu, RV (2021) Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation. In: 18th IEEE/CVF International Conference on Computer Vision, ICCV 2021, 1 - 17 October 2021, Virtual, Online, pp. 7026-7036.

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Mariotti, C and Maselli, S and Migliore, E and Monteil, E and Monteno, M and Obertino, MM and Ortona, G and Pacher, L and Pastrone, N and Pelliccioni, M and Pinna Angioni, GL and Ruspa, M and Shchelina, K and Siviero, F and Sola, V and Solano, A and Soldi, D and Staiano, A and Tornago, M and Trocino, D and Vagnerini, A and Belforte, S and Candelise, V and Casarsa, M and Cossutti, F and Da Rold, A and Della Ricca, G and Sorrentino, G and Vazzoler, F and Dogra, S and Huh, C and Kim, B and Kim, DH and Kim, GN and Kim, J and Lee, J and Lee, SW and Moon, CS and Oh, YD and Pak, SI and Radburn-Smith, BC and Sekmen, S and Yang, YC and Kim, H and Moon, DH and Francois, B and Kim, TJ and Park, J and Cho, S and Choi, S and Go, Y and Hong, B and Lee, K and Lee, KS and Lim, J and Park, J and Park, SK and Yoo, J and Goh, J and Gurtu, A and Kim, HS and Kim, Y and Almond, J and Bhyun, JH and Choi, J and Jeon, S and Kim, J and Kim, JS and Ko, S and Kwon, H and Lee, H and Lee, S and Oh, BH and Oh, M and Oh, SB and Seo, H and Yang, UK and Yoon, I and Jang, W and Kang, DY and Kang, Y and Kim, S and Ko, B and Lee, JSH and Lee, Y and Merlin, JA and Park, IC and Roh, Y and Ryu, MS and Song, D and Watson, IJ and Yang, S and Ha, S and Yoo, HD and Choi, M and Lee, H and Lee, Y and Yu, I and Beyrouthy, T and Maghrbi, Y and Dreimanis, K and Veckalns, V and Ambrozas, M and Carvalho Antunes De Oliveira, A and Juodagalvis, A and Rinkevicius, A and Tamulaitis, G and Bin Norjoharuddeen, N and Wan Abdullah, WAT and Yusli, MN and Zolkapli, Z and Benitez, JF and Castaneda Hernandez, A and León Coello, M and Murillo Quijada, JA and Sehrawat, A and Valencia Palomo, L and Ayala, G and Castilla-Valdez, H and De La Cruz-Burelo, E and Heredia-De La Cruz, I and Lopez-Fernandez, R and Mondragon Herrera, CA and Perez Navarro, DA and Sánchez Hernández, A and Carrillo Moreno, S and Oropeza Barrera, C and Vazquez Valencia, F and Pedraza, I and Salazar Ibarguen, HA and Uribe Estrada, C and Mijuskovic, J and Raicevic, N and Krofcheck, D and Butler, PH and Lujan, P and Ahmad, A and Asghar, MI and Awais, A and Awan, MIM and Hoorani, HR and Khan, WA and Shah, MA and Shoaib, M and Waqas, M and Avati, V and Grzanka, L and Malawski, M and Bialkowska, H and Bluj, M and Boimska, B and Górski, M and Kazana, M and Szleper, M and Zalewski, P and Bunkowski, K and Doroba, K and Kalinowski, A and Konecki, M and Krolikowski, J and Araujo, M and Bargassa, P and Bastos, D and Boletti, A and Faccioli, P and Gallinaro, M and Hollar, J and Leonardo, N and Niknejad, T and Pisano, M and Seixas, J and Toldaiev, O and Varela, J and Afanasiev, S and Budkouski, D and Golutvin, I and Gorbunov, I and Karjavine, V and Korenkov, V and Lanev, A and Malakhov, A and Matveev, V and Palichik, V and Perelygin, V and Savina, M and Seitova, D and Shalaev, V and Shmatov, S and Shulha, S and Smirnov, V and Teryaev, O and Voytishin, N and Yuldashev, BS and Zarubin, A and Zhizhin, I and Gavrilov, G and Golovtcov, V and Ivanov, Y and Kim, V and Kuznetsova, E and Murzin, V and Oreshkin, V and Smirnov, I and Sosnov, D and Sulimov, V and Uvarov, L and Volkov, S and Vorobyev, A and Andreev, Y and Dermenev, A and Gninenko, S and Golubev, N and Karneyeu, A and Kirpichnikov, D and Kirsanov, M and Krasnikov, N and Pashenkov, A and Pivovarov, G and Toropin, A and Epshteyn, V and Gavrilov, V and Lychkovskaya, N and Nikitenko, A and Popov, V and Stepennov, A and Toms, M and Vlasov, E and Zhokin, A and Aushev, T and Bychkova, O and Chistov, R and Danilov, M and Oskin, A and Parygin, P and Polikarpov, S and Andreev, V and Azarkin, M and Dremin, I and Kirakosyan, M and Terkulov, A and Belyaev, A and Boos, E and Bunichev, V and Dubinin, M and Dudko, L and Ershov, A and Gribushin, A and Klyukhin, V and Kodolova, O and Lokhtin, I and Obraztsov, S and Perfilov, M and Savrin, V and Blinov, V and Dimova, T and Kardapoltsev, L and Kozyrev, A and Ovtin, I and Radchenko, O and Skovpen, Y and Azhgirey, I and Bayshev, I and Elumakhov, D and Kachanov, V and Konstantinov, D and Mandrik, P and Petrov, V and Ryutin, R and Slabospitskii, S and Sobol, A and Troshin, S and Tyurin, N and Uzunian, A and Volkov, A and Babaev, A and Okhotnikov, V and Borshch, V and Ivanchenko, V and Tcherniaev, E and Adzic, P and Dordevic, M and Milenovic, P and Milosevic, J and Aguilar-Benitez, M and Alcaraz Maestre, J and Ã�lvarez Fernández, A and Bachiller, I and Barrio Luna, M and Bedoya, CF and Carrillo Montoya, CA and Cepeda, M and Cerrada, M and Colino, N and De La Cruz, B and Delgado Peris, A and Fernández Ramos, JP and Flix, J and Fouz, MC and Gonzalez Lopez, O and Goy Lopez, S and Hernandez, JM and Josa, MI and León Holgado, J and Moran, D and Navarro Tobar, Ã� and Perez Dengra, C and Pérez-Calero Yzquierdo, A and Puerta Pelayo, J and Redondo, I and Romero, L and Sánchez Navas, S and Urda Gómez, L and Willmott, C and de Trocóniz, JF and Reyes-Almanza, R and Alvarez Gonzalez, B and Cuevas, J and Erice, C and Fernandez Menendez, J and 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Chernyavskaya, N and Chhibra, SS and Cipriani, M and Cristella, L and dâ��Enterria, D and Dabrowski, A and David, A and De Roeck, A and Defranchis, MM and Deile, M and Dobson, M and Dünser, M and Dupont, N and Elliott-Peisert, A and Emriskova, N and Fallavollita, F and Florent, A and Franzoni, G and Funk, W and Giani, S and Gigi, D and Gill, K and Glege, F and Gouskos, L and Haranko, M and Hegeman, J and Innocente, V and James, T and Janot, P and Kaspar, J and Kieseler, J and Komm, M and Kratochwil, N and Lange, C and Laurila, S and Lecoq, P and Lintuluoto, A and Long, K and Lourenço, C and Maier, B and Malgeri, L and Mallios, S and Mannelli, M and Marini, AC and Meijers, F and Mersi, S and Meschi, E and Moortgat, F and Mulders, M and Orfanelli, S and Orsini, L and Pantaleo, F and Pape, L and Perez, E and Peruzzi, M and Petrilli, A and Petrucciani, G and Pfeiffer, A and Pierini, M and Piparo, D and Pitt, M and Qu, H and Quast, T and Rabady, D and Racz, A and Reales Gutiérrez, G and Rieger, M and Rovere, M and Sakulin, H and Salfeld-Nebgen, J and Scarfi, S and Schäfer, C and Schwick, C and Selvaggi, M and Sharma, A and Silva, P and Snoeys, W and Sphicas, P and Summers, S and Tatar, K and Tavolaro, VR and Treille, D and Tropea, P and Tsirou, A and Van Onsem, GP and Wanczyk, J and Wozniak, KA and Zeuner, WD and Caminada, L and Ebrahimi, A and Erdmann, W and Horisberger, R and Ingram, Q and Kaestli, HC and Kotlinski, D and Langenegger, U and Missiroli, M and Noehte, L and Rohe, T and Androsov, K and Backhaus, M and Berger, P and Calandri, A and De Cosa, A and Dissertori, G and Dittmar, M and DonegÃ, M and Dorfer, C and Eble, F and Gedia, K and Glessgen, F and Gómez Espinosa, TA and Grab, C and Hits, D and Lustermann, W and Lyon, A-M and Manzoni, RA and Marchese, L and Martin Perez, C and Meinhard, MT and Nessi-Tedaldi, F and Niedziela, J and Pauss, F and Perovic, V and Pigazzini, S and Ratti, MG and Reichmann, M and Reissel, C and Reitenspiess, T and Ristic, B and Ruini, D and Sanz Becerra, DA and Stampf, V and Steggemann, J and Wallny, R and Zhu, DH and Amsler, C and Bärtschi, P and Botta, C and Brzhechko, D and Canelli, MF and Cormier, K and De Wit, A and Del Burgo, R and Heikkilä, JK and Huwiler, M and Jin, W and Jofrehei, A and Kilminster, B and Leontsinis, S and Liechti, SP and Macchiolo, A and Meiring, P and Mikuni, VM and Molinatti, U and Neutelings, I and Reimers, A and Robmann, P and Sanchez Cruz, S and Schweiger, K and Senger, M and Takahashi, Y and Adloff, C and Kuo, CM and Lin, W and Roy, A and Sarkar, T and Yu, SS and Ceard, L and Chao, Y and Chen, KF and Chen, PH and Hou, W-S and Li, Y and Lu, R-S and Paganis, E and Psallidas, A and Steen, A and Wu, H and Yazgan, E and Yu, P and Asavapibhop, B and Asawatangtrakuldee, C and Srimanobhas, N and Boran, F and Damarseckin, S and Demiroglu, ZS and Dolek, F and Dumanoglu, I and Eskut, E and Guler, Y and Gurpinar Guler, E and Isik, C and Kara, O and Kayis Topaksu, A and Kiminsu, U and Onengut, G and Ozdemir, K and Polatoz, A and Simsek, AE and Tali, B and Tok, UG and Turkcapar, S and Zorbakir, IS and Isildak, B and Karapinar, G and Ocalan, K and Yalvac, M and Akgun, B and Atakisi, IO and Gülmez, E and Kaya, M and Kaya, O and Ã�zçelik, Ã� and Tekten, S and Yetkin, EA and Cakir, A and Cankocak, K and Komurcu, Y and Sen, S and Cerci, S and Hos, I and Kaynak, B and Ozkorucuklu, S and Sunar Cerci, D and Zorbilmez, C and Grynyov, B and Levchuk, L and Anthony, D and Bhal, E and Bologna, S and Brooke, JJ and Bundock, A and Clement, E and Cussans, D and Flacher, H and Goldstein, J and Heath, GP and Heath, HF and Kreczko, L and Krikler, B and Paramesvaran, S and Seif El Nasr-Storey, S and Smith, VJ and Stylianou, N and Walkingshaw Pass, K and White, R and Bell, KW and Belyaev, A and Brew, C and Brown, RM and Cockerill, DJA and Cooke, C and Ellis, KV and Harder, K and Harper, S and Holmberg, M-L and Linacre, J and Manolopoulos, K and Newbold, DM and Olaiya, E and Petyt, D and Reis, T and Schuh, T and Shepherd-Themistocleous, CH and Tomalin, IR and Williams, T and Bainbridge, R and Bloch, P and Bonomally, S and Borg, J and Breeze, S and Buchmuller, O and Cepaitis, V and Chahal, GS and Colling, D and Dauncey, P and Davies, G and Della Negra, M and Fayer, S and Fedi, G and Hall, G and Hassanshahi, MH and Iles, G and Langford, J and Lyons, L and Magnan, A-M and Malik, S and Martelli, A and Monk, DG and Nash, J and Pesaresi, M and Raymond, DM and Richards, A and Rose, A and Scott, E and Seez, C and Shtipliyski, A and Tapper, A and Uchida, K and Virdee, T and Vojinovic, M and Wardle, N and Webb, SN and Winterbottom, D and Coldham, K and Cole, JE and Khan, A and Kyberd, P and Reid, ID and Teodorescu, L and Zahid, S and Abdullin, S and Brinkerhoff, A and Caraway, B and Dittmann, J and Hatakeyama, K and Kanuganti, AR and McMaster, B and Pastika, N and Saunders, M and Sawant, S and Sutantawibul, C and Wilson, J and Bartek, R and Dominguez, A and Uniyal, R and Vargas 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and Ignatenko, M and Iqbal, MA and Lam, T and Nash, WA and Regnard, S and Saltzberg, D and Stone, B and Valuev, V and Burt, K and Chen, Y and Clare, R and Gary, JW and Gordon, M and Hanson, G and Karapostoli, G and Long, OR and Manganelli, N and Olmedo Negrete, M and Si, W and Wimpenny, S and Zhang, Y and Branson, JG and Chang, P and Cittolin, S and Cooperstein, S and Deelen, N and Diaz, D and Duarte, J and Gerosa, R and Giannini, L and Guiang, J and Kansal, R and Krutelyov, V and Lee, R and Letts, J and Masciovecchio, M and Mokhtar, F and Pieri, M and Sathia Narayanan, BV and Sharma, V and Tadel, M and Vartak, A and Würthwein, F and Xiang, Y and Yagil, A and Amin, N and Campagnari, C and Citron, M and Dorsett, A and Dutta, V and Incandela, J and Kilpatrick, M and Kim, J and Marsh, B and Mei, H and Oshiro, M and Quinnan, M and Richman, J and Sarica, U and Setti, F and Sheplock, J and Stuart, D and Wang, S and Bornheim, A and Cerri, O and Dutta, I and Lawhorn, JM and Lu, N and Mao, J and Newman, HB and Nguyen, TQ and Spiropulu, M and Vlimant, JR and Wang, C and Xie, S and Zhang, Z and Zhu, RY and Alison, J and An, S and Andrews, MB and Bryant, P and Ferguson, T and Harilal, A and Liu, C and Mudholkar, T and Paulini, M and Sanchez, A and Terrill, W and Cumalat, JP and Ford, WT and Hassani, A and MacDonald, E and Patel, R and Perloff, A and Savard, C and Stenson, K and Ulmer, KA and Wagner, SR and Alexander, J and Bright-Thonney, S and Chen, X and Cheng, Y and Cranshaw, DJ and Hogan, S and Monroy, J and Patterson, JR and Quach, D and Reichert, J and Reid, M and Ryd, A and Sun, W and Thom, J and Wittich, P and Zou, R and Albrow, M and Alyari, M and Apollinari, G and Apresyan, A and Apyan, A and Banerjee, S and Bauerdick, LAT and Berry, D and Berryhill, J and Bhat, PC and Burkett, K and Butler, JN and Canepa, A and Cerati, GB and Cheung, HWK and Chlebana, F and Di Petrillo, KF and Elvira, VD and Feng, Y and Freeman, J and Gecse, Z and Gray, L and Green, D and Grünendahl, S and Gutsche, O and Harris, RM and Heller, R and Herwig, TC and Hirschauer, J and Jayatilaka, B and Jindariani, S and Johnson, M and Joshi, U and Klijnsma, T and Klima, B and Kwok, KHM and Lammel, S and Lincoln, D and Lipton, R and Liu, T and Madrid, C and Maeshima, K and Mantilla, C and Mason, D and McBride, P and Merkel, P and Mrenna, S and Nahn, S and Ngadiuba, J and Oâ��Dell, V and Papadimitriou, V and Pedro, K and Pena, C and Prokofyev, O and Ravera, F and Reinsvold Hall, A and Ristori, L and Sexton-Kennedy, E and Smith, N and Soha, A and Spalding, WJ and Spiegel, L and Stoynev, S and Strait, J and Taylor, L and Tkaczyk, S and Tran, NV and Uplegger, L and Vaandering, EW and Weber, HA and Acosta, D and Avery, P and Bourilkov, D and Cadamuro, L and Cherepanov, V and Errico, F and Field, RD and Guerrero, D and Joshi, BM and Kim, M and Koenig, E and Konigsberg, J and Korytov, A and Lo, KH and Matchev, K and Menendez, N and Mitselmakher, G and Muthirakalayil Madhu, A and Rawal, N and Rosenzweig, D and Rosenzweig, S and Rotter, J and Shi, K and Sturdy, J and Wang, J and Yigitbasi, E and Zuo, X and Adams, T and Askew, A and Habibullah, R and Hagopian, V and Johnson, KF and Khurana, R and Kolberg, T and Martinez, G and Prosper, H and Schiber, C and Viazlo, O and Yohay, R and Zhang, J and Baarmand, MM and Butalla, S and Elkafrawy, T and Hohlmann, M and Kumar Verma, R and Noonan, D and Rahmani, M and Yumiceva, F and Adams, MR and Becerril Gonzalez, H and Cavanaugh, R and Dittmer, S and Evdokimov, O and Gerber, CE and Hangal, DA and Hofman, DJ and Merrit, AH and Mills, C and Oh, G and Roy, T and Rudrabhatla, S and Tonjes, MB and Varelas, N and Viinikainen, J and Wang, X and Wu, Z and Ye, Z and Alhusseini, M and Dilsiz, K and Gandrajula, RP and Köseyan, OK and Merlo, J-P and Mestvirishvili, A and Nachtman, J and Ogul, H and Onel, Y and Penzo, A and Snyder, C and Tiras, E and Amram, O and Blumenfeld, B and Corcodilos, L and Davis, J and Eminizer, M and Gritsan, AV and Kyriacou, S and Maksimovic, P and Roskes, J and Swartz, M and Vámi, TÃ� and Abreu, A and Anguiano, J and Baldenegro Barrera, C and Baringer, P and Bean, A and Bylinkin, A and Flowers, Z and Isidori, T and Khalil, S and King, J and Krintiras, G and Kropivnitskaya, A and Lazarovits, M and Le Mahieu, C and Lindsey, C and Marquez, J and Minafra, N and Murray, M and Nickel, M and Rogan, C and Royon, C and Salvatico, R and Sanders, S and Schmitz, E and Smith, C and Tapia Takaki, JD and Wang, Q and Warner, Z and Williams, J and Wilson, G and Duric, S and Ivanov, A and Kaadze, K and Kim, D and Maravin, Y and Mitchell, T and Modak, A and Nam, K and Rebassoo, F and Wright, D and Adams, E and Baden, A and Baron, O and Belloni, A and Eno, SC and Hadley, NJ and Jabeen, S and Kellogg, RG and Koeth, T and Mignerey, AC and Nabili, S and Palmer, C and Seidel, M and Skuja, A and Wang, L and Wong, K and Abercrombie, D and Andreassi, G and Bi, R and Busza, W and Cali, IA and Chen, Y and 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