Items where Subject is "Computer Science & Automation"

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.

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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.

Abraham, I and Asharov, G and Patil, S and Patra, A (2024) Perfect Asynchronous MPC with Linear Communication Overhead. In: 43rd Annual International Conference on the Theory and Applications of Cryptographic Techniques, EUROCRYPT 2024, 26 May 2024through 30 May 2024, Zurich, Switzerland, pp. 280-309.

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, A and Hurt, B and Kaur, G and Lewis, B and Marathe, M and Porebski, P and Venkatramanan, S and Dukkipati, A and Gracious, T and Gupta, S and Rathod, N and Sundaresan, R and Yasodharan, S and Bhimala, KR and Mudkavi, V and Patra, GK and Athreya, S (2023) A Multi-Team Multi-Model Collaborative Covid-19 Forecasting Hub for India. In: 2023 Winter Simulation Conference, 10 December 2023 through 13 December 2023, San Antonio, pp. 994-1005.

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.

Aithala, V and Sachan, A and Sen, S and Payal, H and Bhattacharya, C (2024) Decision time: illuminating performance in India�s district courts. In: Data and Policy, 6 (e32).

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.

Ajimakin, AD and Devi, VS (2024) Quantum Acceleration of Black-Box Pseudo-Boolean Optimization Algorithms. In: IEEE Transactions on Evolutionary Computation .

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 .

Ankit, K and Shrivathsa, MS and Kolathaya, S and Ghose, D (2024) Reach abilty Analysis of UAVs through Cluttered Environments. In: AIAA SciTech Forum and Exposition, 2024, 8 January 2024through 12 January 2024, Orlando, Florida..

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, D and Chandran, LS and Gayen, A and Gosavi, S and Jacob, S (2024) Total Domination, Separated-Cluster, CD-Coloring: Algorithms and Hardness. In: 16th Latin American Symposium on Theoretical Informatics, LATIN 2042, 18 March 2024through 22 March 2024, Puerto Varas, pp. 97-113.

Antony, D and Das, A and Gosavi, S and Jacob, D and Kulamarva, S (2024) Spanning caterpillar in biconvex bipartite graphs. In: Discrete Applied Mathematics, 356 . pp. 32-36.

Antony, D and Pal, S and Sandeep, RB (2025) Algorithms for subgraph complementation to some classes of graphs. In: Information Processing Letters, 188 .

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.

B

Babalad, S and Shevade, S and Thazhuthaveetil, MJ and Govindarajan, R (2024) Tile Size and Loop Order Selection using Machine Learning for Multi-/Many-Core Architectures. In: 38th ACM International Conference on Supercomputing, ICS 2024, 4 June 2024through 7 June 2024, Kyoto, Japan, pp. 388-399.

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 Pandit, Y and Pyne, S (2024) Nearly Equitable Allocations beyond Additivity and Monotonicity. In: 38th AAAI Conference on Artificial Intelligence, AAAI 2024, 20 February 2024through 27 February 2024, Vancouver, pp. 9494-9501.

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 Kar, D and Pathak, S (2024) Parameterized Guarantees for Almost Envy-Free Allocations. In: AAMAS 2024, 6 May 2024through 10 May 2024, Auckland, New Zealand, pp. 151-159.

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.

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Bhatnagar, Shalabh and Fu, Michael C and Marcus, Steven I and Wang, I-Jeng (2003) Two-Timescale Simultaneous Perturbation Stochastic Approximation Using Deterministic Perturbation Sequences. In: ACM Transactions on Modeling and Computer Simulation, 13 (2). pp. 180-209.

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Bhatnagar, Shalabh and Patro, Rajesh Kumar (2009) A Proof of Convergence of the B-RED and P-RED Algorithms for Random Early Detection. In: IEEE Communications letters, 13 (10). pp. 809-811.

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Bhattacharya, Binay K and De, Minati and Maheshwari, Anil and Nandy, Subhas C and Roy, Sasanka (2017) Rectilinear path problems in restricted memory setup. In: DISCRETE APPLIED MATHEMATICS, 228 (SI). pp. 80-87.

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Bhattacharya, Indrajit and Godbole, Shantanu and Joshi, Sachindra and Verma, Ashish (2012) Cross-Guided Clustering: Transfer of Relevant Supervision across Tasks. In: ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 6 (2).

Bhattacharya, Sourangshu and Bhattacharyya, Chiranjib and Chandra, Nagasuma (2007) Structural Alignment based Kernels for Protein Structure Classification. In: ICML '07 Proceedings of the 24th international conference on Machine learning, New York, NY.

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Bhattacharya, Suparna and Gopinath, K and Rajamani, Karthick and Gupta, Manish (2011) Software Bloat and Wasted Joules: Is Modularity a Hurdle to Green Software? In: Computer, 44 (9). pp. 97-101.

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Bhattacharya, Suparna and Rajamani, Karthick and Gopinath, K and Gupta, Manish (2012) Does lean imply green?: a study of the power performance implications of Java runtime bloat. In: SIGMETRICS '12 Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems, June 2012, New York, NY, USA.

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Bhattacharyya, A and Ghoshal, S and Saket, R (2018) Hardness of Learning Noisy Halfspaces using Polynomial Thresholds. In: 31st Annual Conference on Learning Theory, COLT 2018, 6 - 9 July 2018, Stockholm, pp. 876-917.

Bhattacharyya, A and Gopi, S and Tal, A (2017) Lower bounds for 2-query LCCs over large alphabet. In: 20th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2017 and the 21st International Workshop on Randomization and Computation, RANDOM 2017, 16 - 18 August 2017, Berkeley.

Bhattacharyya, A and Sunil Chandran, L and Ghoshal, S (2020) Combinatorial lower bounds for 3-query LDCs. In: Leibniz International Proceedings in Informatics, LIPIcs, 12 - 14 January 2020, Seattle.

Bhattacharyya, Arnab (2014) Polynomial Decompositions in Polynomial Time. In: 22nd Annual European Symposium on Algorithms (ESA) held as part of ALGO Meeting Location, SEP 08-10, 2014, Wroclaw, POLAND , pp. 125-136.

Bhattacharyya, Arnab and Gopi, Sivakanth (2017) Lower Bounds for Constant Query Affine-Invariant LCCs and LTCs. In: ACM Transactions on Computation Theory, 9 (2). pp. 1-17. ISSN 1942-3454

Bhattacharyya, Arnab and Grandoni, Fabrizio and Nikolov, Aleksandar and Saha, Barna and Saurabh, Saket and Vijayaraghavan, Aravindan and Zhang, Qin (2018) Editorial: ACM-SIAM Symposium on Discrete Algorithms (SODA) 2016 Special Issue. In: ACM TRANSACTIONS ON ALGORITHMS, 14 (3, SI).

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

Bhattacharyya, C and Grate, LR and Jordan, MI and Ghaoui, El L and Mian, IS (2004) Robust Sparse Hyperplane Classifiers: Application to Uncertain Molecular Profiling Data. In: Journal of Computational Biology, 11 (6). pp. 1073-1089.

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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.

Chakraborty, D and Chandran, LS and Padinhatteeri, S and Pillai, RR (2024) s-Club Cluster Vertex Deletion on interval and well-partitioned chordal graphs. In: Discrete Applied Mathematics, 345 (345). pp. 170-189.

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Challa, A and Danda, S and Sagar, BSD and Najman, L (2020) Power Spectral Clustering. In: Journal of Mathematical Imaging and Vision, 62 . pp. 1195-1213.

Chan, Hubert TH and Louis, Anand and Tang, Zhihao Gavin and Zhang, Chenzi (2018) Spectral Properties of Hypergraph Laplacian and Approximation Algorithms. In: JOURNAL OF THE ACM, 65 (3).

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.

Chandra, Praphul and Gujar, Sujit and Narahari, Y (2016) Crowdfunding Public Projects with Provision Point: A Prediction Market Approach. In: 22nd European Conference on Artificial Intelligence (ECAI), AUG 29-SEP 02, 2016, Hague, NETHERLANDS, pp. 778-786.

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.

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Chatterjee, S and Dimri, A and Pandit, T (2021) Identity-Based Signature and Extended Forking Algorithm in the Multivariate Quadratic Setting. In: 22nd International Conference on Cryptology in India, INDOCRYPT 2021, 12 - 15 Dec 2021, Jaipur, pp. 387-412.

Chatterjee, S and Kabaleeshwaran, R (2020) From Rerandomizability to Sequential Aggregation: Efficient Signature Schemes Based on SXDH Assumption. In: 25th Australasian Conference on Information Security and Privacy, ACISP 2020, 30th Nov.-2nd Dec.,2020, Perth; Australia, pp. 183-203.

Chatterjee, S and Kabaleeshwaran, R (2019) Rerandomizable Signatures Under Standard Assumption. In: 20th International Conference on Cryptology in India, INDOCRYPT 2019, 15 - 18 December 2019, Hyderabad, pp. 45-67.

Chatterjee, S and Kabaleeshwaran, R (2018) Towards static assumption based cryptosystem in pairing setting: Further applications of DéjàQ and dual-form signature. In: 12th International Conference on Provable Security, ProvSec 2018, 25 - 28 October 2018, Jeju, pp. 220-238.

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Chatterjee, Sanjit and Kamath, Chethan (2016) A Closer Look at Multiple Forking: Leveraging (In)Dependence for a Tighter Bound. In: ALGORITHMICA, 74 (4). pp. 1321-1362.

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Koti, N and Kukkala, VB and Patra, A and Raj Gopal, B (2022) PentaGOD: Stepping beyond Traditional GOD with Five Parties. In: Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security (CCS ’22), November 7– 11, 2022, Los Angeles, pp. 1843-1856.

Koti, N and Kukkala, VB and Patra, A and Raj Gopal, B (2023) Shield: Secure Allegation Escrow System with Stronger Guarantees. In: 2023 World Wide Web Conference, WWW 2023, 30 April - 4 May 2023, Austin, pp. 2252-2262.

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Koti, N and Patil, S and Patra, A and Suresh, A (2022) Poster MPClan:: Protocol Suite for Privacy-Conscious Computations. In: Proceedings of the ACM Conference on Computer and Communications Security, 7-11 November 2022, Los Angeles, pp. 3379-3381.

Kotni, S and Nayak, A and Ganapathy, V and Basu, A (2021) Faastlane: Accelerating function-as-a-service workflows. In: 2021 USENIX Annual Technical Conference, 14-16 Jul 2021, pp. 957-971.

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Krishna Kumar, KP and Hansdah, RC (2006) An efficient and scalable checkpointing and recovery algorithm for distributed systems. In: 8th International Conference on Distributed Computing and Networking,, Dec 27-30, 2006, Guwahati, India, pp. 94-99.

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Krishnan, Murali K and Shankar, Priti (2006) On the complexity of finding stopping set size in Tanner Graphs. In: 40th Annual Conference on Information Sciences and Systems (CISS),, Mar 22-24, 2006, Princeton, NJ, pp. 157-158.

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Krishnan, S and Bhattacharyya, Chiranjib and Hariharan, Ramesh and Genomics, Strand (2007) A Randomized Algorithm for Large Scale Support Vector Learning. In: Proceedings of 21st Annual Conference on Neural Information Processing Systems (NIPS), June 2007.

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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.

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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.

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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.

Kumaran, A (2004) MIRA: Multilingual Information Processing on Relational Architecture. In: Workshop on Current Trends in Database Technology: EDBT04 (Lecture Notes in Computer Science), March 14-18, 2004, Heraklion, Crete, Greece, Vol. 3268, 12-23.

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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