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Number of items at this level: 451.

A

Acharjee, Sumita and Fatima, Tanzeem and Krishnan, Rangachari and Srivastava, Ashutosh and Hanur, Vageeshbabu S and Rao, M Srinivasa (2022) Comparative transcriptome profiling of high and low oil yielding Santalum album L. In: PLOS ONE, 17 (4). ISSN 1932-6203

Acharya, S and Amrutur, B and Bharathesa, M and Simmhan, Y (2022) CORNET 2.0: A Co-Simulation Middleware for Robot Networks. In: 14th International Conference on COMmunication Systems and NETworkS, COMSNETS 2022, 4-8 Jan 2022, Bangalore, pp. 684-690.

Acharya, S and Bharadwaj, A and Simmhan, Y and Gopalan, A and Parag, P and Tyagi, H (2020) CORNET: A Co-Simulation Middleware for Robot Networks. In: 2020 International Conference on COMmunication Systems and NETworkS, 7-11 Jan 2020, Bengaluru;, pp. 245-251.

Addepalli, S and Bhogale, K and Dey, P and Babu, RV (2022) Towards Efficient and Effective Self-supervised Learning of Visual Representations. In: 17th European Conference on Computer Vision, ECCV 2022, 23 - 27 October 2022, Tel Aviv, pp. 523-538.

Addepalli, S and Jain, S and Sriramanan, G and Babu, RV (2021) Boosting adversarial robustness using feature level stochastic smoothing. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 19-25 June 2021, Nashville, pp. 93-102.

Addepalli, S and Jain, S and Sriramanan, G and Venkatesh Babu, R (2022) Scaling Adversarial Training to Large Perturbation Bounds. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 27 October 2022, Tel Aviv, pp. 301-316.

Addepalli, S and Nayak, GK and Chakraborty, A and Babu, RV (2020) Degan: Data-enriching gan for retrieving representative samples from a trained classifier. In: AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, 7 - 12 February 2020, New York, pp. 3130-3137.

Addepalli, S and Tamboli, D and Babu, RV and Banerjee, B (2020) Saliency-Driven Class Impressions for Feature Visualization of Deep Neural Networks. In: Proceedings - International Conference on Image Processing, 25-28, September 2020, Virtual, Abu Dhabi; United Arab Emirates, pp. 1936-1940.

Addepalli, S and Vivek, BS and Baburaj, A and Sriramanan, G and Venkatesh Babu, R (2020) Towards Achieving Adversarial Robustness by Enforcing Feature Consistency across Bit Planes. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 14-19 JUne 2020, Virtual, Online, pp. 1017-1026.

Aggarwal, S and Babu, RV and Chakraborty, A (2020) Text-based person search via attribute-aided matching. In: IEEE/CVF Winter Conference on Applications of Computer Vision, 1-5 March 2020, Snowmass Village, United States, pp. 2606-2614.

Ahmad, T and Lyngdoh, Rb and Sahadevan, As and Raha, S and Gupta, PK and Misra, A (2020) Four-directional spatial regularization for sparse hyperspectral unmixing. In: Journal of Applied Remote Sensing, 14 (4). 046511.

Ahmad, T and Raha, S COMPUTATIONALLY-EFFICIENT BANDWISE GBM MODEL FOR HYPERSPECTRAL NONLINEAR UNMIXING. In: IGARSS 2022 .

Ahmad, Touseef and Lyngdoh, Rosly B and Anand, SS and Gupta, Praveen K and Misra, Arundhati and Raha, Soumyendu (2021) Robust Coupled Non-Negative Matrix Factorization for Hyperspectral and Multispectral Data Fusion. In: IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, 12-16 July, 2021, Brussels, Belgium, pp. 2456-2459.

Ahmad, Touseef and Raha, Soumyendu and B Lyngdoh, Rosly and S Sahadevan, Anand (2022) Robust generalized bilinear model with weighted low-rank representation for hyperspectral image unmixing. In: Journal of Applied Remote Sensing, 16 (2). 024524-1.

Ahne, A and Khetan, V and Tannier, X and Rizvi, MIH and Czernichow, T and Orchard, F and Bour, C and Fano, A and Fagherazzi, G (2022) Extraction of Explicit and Implicit Cause-Effect Relationships in Patient-Reported Diabetes-Related Tweets From 2017 to 2021: Deep Learning Approach. In: JMIR Medical Informatics, 10 (7).

Ahuja, VR and Gupta, U and Rapole, SR and Saxena, N and Hofmann, R and Day-Stirrat, RJ and Prakash, J and Yalavarthy, PK (2022) Siamese-SR: A Siamese Super-Resolution Model for Boosting Resolution of Digital Rock Images for Improved Petrophysical Property Estimation. In: IEEE Transactions on Image Processing, 31 . pp. 3479-3493.

Aketh, TM and Vadhiyar, Sathish and Vinayachandran, PN and Nanjundiah, Ravi (2017) High Performance Horizontal Diffusion Calculations in Ocean Models on Intel® Xeon Phi™ Coprocessor Systems. In: 23rd IEEE International Conference on High Performance Computing, HiPC 2016, 19 - 22 December 2016, Hyderabad, pp. 203-211.

Ambikasaran, Sivaram and Narayanaswamy, Krithika (2017) An accurate, fast, mathematically robust, universal, non-iterative algorithm for computing multi-component diffusion velocities. In: PROCEEDINGS OF THE COMBUSTION INSTITUTE, 36 (1). pp. 507-515.

Anand, SK (2018) Robust Initial Position Estimate of GEO/IGSO Satellite from Projection based Processing of Range Observables. In: 8th International Conference on Localization and GNSS: Seamless Indoor-Outdoor Localization, ICL-GNSS 2018, 26 - 28 June 2018, Guimaraes.

Anjali, P and Subramani, DN (2021) Inter and Intra-Annual Spatio-Temporal Variability of Habitat Suitability for Asian Elephants in India: A Random Forest Model-based Analysis. In: 2021 IEEE India Geoscience and Remote Sensing Symposium, InGARSS 2021, 6 - 10 December 2021, Virtual, Online, pp. 467-470.

Annamalai, L and Chakraborty, A and Thakur, CS (2021) EvAn: Neuromorphic Event-Based Sparse Anomaly Detection. In: Frontiers in Neuroscience, 15 .

Arora, A and Patil, V and Kundu, P and Kondaiah, P and Hegde, AS and Arivazhagan, A and Santosh, V and Pal, D and Somasundaram, K (2019) Serum biomarkers identification by iTRAQ and verification by MRM: S100A8/S100A9 levels predict tumor-stroma involvement and prognosis in Glioblastoma. In: Scientific Reports, 9 (1).

Arun, I and Venkatapathi, Murugesan (2016) Analysis of numerical solutions to Sommerfeld integral relation of the half-space radiator problem. In: APPLIED NUMERICAL MATHEMATICS, 106 . pp. 79-97.

Avasarala, S and Subramani, D (2021) A non-Gaussian Bayesian filter for sequential data assimilation with non-intrusive polynomial chaos expansion. In: International Journal for Numerical Methods in Engineering .

Awasthi, N and Dayal, A and Cenkeramaddi, LR and Yalavarthy, PK (2021) Mini-COVIDNet: Efficient Lightweight Deep Neural Network for Ultrasound Based Point-of-Care Detection of COVID-19. In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 68 (6). pp. 2023-2037.

Awasthi, N and Gupta, S and Kiran, A and Pardasani, R (2021) State-of-the-art equipment for rapid and accurate diagnosis of COVID-19. [Book Chapter]

Awasthi, N and Jain, G and Kalva, SK and Pramanik, M and Yalavarthy, PK (2020) Deep Neural Network-Based Sinogram Super-Resolution and Bandwidth Enhancement for Limited-Data Photoacoustic Tomography. In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 67 (12). pp. 2660-2673.

Awasthi, N and Kalva, SK and Pramanik, M and Yalavarthy, PK (2021) Dimensionality reduced plug and play priors for improving photoacoustic tomographic imaging with limited noisy data. In: Biomedical Optics Express, 12 (3). pp. 1320-1338.

Awasthi, N and Katare, P and Gorthi, SS and Yalavarthy, PK (2020) Guided filter based image enhancement for focal error compensation in low cost automated histopathology microscopic system. In: Journal of Biophotonics .

Awasthi, N and Pardasani, R and Gupta, S (2021) Multi-threshold Attention U-Net (MTAU) Based Model for Multimodal Brain Tumor Segmentation in MRI Scans. In: 6th International MICCAI Brainlesion Workshop, BrainLes 2020, 4 Oct 2020, pp. 168-178.

Awasthi, Navchetan and Kalva, Sandeep Kumar and Pramanik, Manojit and Yalavarthy, Phaneendra K (2018) Image-guided filtering for improving photoacoustic tomographic image reconstruction. In: JOURNAL OF BIOMEDICAL OPTICS, 23 (9).

Awasthi, Navchetan and Prabhakar, K Ram and Kalva, Sandeep Kumar and Pramanik, Manojit and Babu, R Venkatesh and Yalavarthy, Phaneendra K (2019) PA-Fuse: deep supervised approach for the fusion of photoacoustic images with distinct reconstruction characteristics. In: BIOMEDICAL OPTICS EXPRESS, 10 (5). pp. 2242-2258.

B

Badiger, S and Baheti, S and Simmhan, Y (2018) VIoLET: A Large-Scale Virtual Environment for Internet of Things. In: 24th International European Conference on Parallel and Distributed Computing, Euro-Par 2018, 27 - 31 August 2018, Turin, pp. 309-324.

Baheti, S and Anjana, PS and Peri, S and Simmhan, Y (2022) DiPETrans: A framework for distributed parallel execution of transactions of blocks in blockchains. In: Concurrency and Computation: Practice and Experience .

Baheti, S and Badiger, S and Simmhan, Y (2021) VIoLET: An Emulation Environment for Validating IoT Deployments at Large Scales. In: ACM Transactions on Cyber-Physical Systems, 5 (3).

Banerjee, Anupam and Pal, Abantika and Pal, Debnath and Mitra, Pralay (2018) Ebolavirus interferon antagonists-protein interaction perspectives to combat pathogenesis. In: BRIEFINGS IN FUNCTIONAL GENOMICS, 17 (6). pp. 392-401.

Banerjee, S and Mahesh, Y and Prabhu, D and Sekar, K and Sen, P (2023) Identification of potent anti-fibrinolytic compounds against plasminogen and tissue-type plasminogen activator employing in silico approaches. In: Journal of Biomolecular Structure and Dynamics .

Bashir, S and Banday, M and Qadri, O and Pal, D and Bashir, A and Hilal, N and Altaf, M and Fazili, KM (2023) The Bcl-2 family protein bid interacts with the ER stress sensor IRE1 to differentially modulate its RNase activity. In: FEBS Letters .

Behera, R and Gerontitis, D and Stanimirovi, P and Katsikis, V and Shi, Y and Cao, X (2023) An efficient zeroing neural network for solving time-varying nonlinear equations. In: Neural Computing and Applications .

Behera, R and Maharana, G and Sahoo, JK and Stanimirović, PS (2022) Characterizations of the Weighted Core-EP Inverses. In: Bulletin of the Iranian Mathematical Society .

Bera, A and Dutta, A and Dhara, AK (2021) Deep learning based fault classification algorithm for roller bearings using time-frequency localized features. In: 2021 IEEE International Conference on Computing, Communication, and Intelligent Systems, ICCCIS 2021, 19-20 Feb 2021, Greater Noida, pp. 419-424.

Bhadra, Pratiti and Pal, Debnath (2017) Pipeline for inferring protein function from dynamics using coarse-grained molecular mechanics forcefield. In: COMPUTERS IN BIOLOGY AND MEDICINE, 83 . pp. 134-142.

Bhatia, J and Dayal, A and Jha, A and Vishvakarma, SK and Joshi, S and Srinivas, MB and Yalavarthy, PK and Kumar, A and Vadlamani, L and Koorapati, S and Cenkeramaddi, LR (2021) Classification of targets using statistical features from range fft of mmwave fmcw radars. In: Electronics (Switzerland), 10 (16).

Bhatia, S and Alsuwailam, RI and Roy, DG and Mashat, A (2022) Improved Multimedia Object Processing for the Internet of Vehicles. In: Sensors, 22 (11).

Bhatt, Manish and Acharya, Atithi and Yalavarthy, Phaneendra K (2016) Computationally efficient error estimate for evaluation of regularization in photoacoustic tomography. In: JOURNAL OF BIOMEDICAL OPTICS, 21 (10).

Bhatt, Manish and Ayyalasomayajula, Kalyan Ram and Yalavarthy, Phaneendra K (2016) Generalized Beer-Lambert model for near-infrared light propagation in thick biological tissues. In: JOURNAL OF BIOMEDICAL OPTICS, 21 (7).

Bhatt, Manish and Gutta, Sreedevi and Yalavarthy, Phaneendra K (2016) Exponential filtering of singular values improves photoacoustic image reconstruction. In: JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 33 (9). pp. 1785-1792.

Bhowmick, A and Vadhiyar, S and Varun, P V (2022) Scalable multi-node multi-GPU Louvain community detection algorithm for heterogeneous architectures. In: Concurrency and Computation: Practice and Experience .

Bhowmik, A and Vadhiyar, S (2019) HyDetect: A Hybrid CPU-GPU Algorithm for Community Detection. In: 26th Annual IEEE International Conference on High Performance Computing, HiPC 2019, 17-19, December 2019, Hyderabad, pp. 2-11.

Bin Masood, Talha and Natarajan, Vijay (2016) An Integrated Geometric and Topological Approach to Connecting Cavities in Biomolecules. In: IEEE Pacific Visualization Symposium (IEEE PacificVis), APR 19-22, 2016, Natl Taiwan Univ Sci & Technol, Taipei, TAIWAN, pp. 104-111.

Biswas, Ansuman and Shukla, Arpit and Vijayan, R S K and Jeyakanthan, Jeyaraman and Sekar, Kanagaraj (2017) Crystal structures of an archaeal thymidylate kinase from Sulfolobus tokodaii provide insights into the role of a conserved active site Arginine residue. In: JOURNAL OF STRUCTURAL BIOLOGY, 197 (3). pp. 236-249.

Biswas, Arnab Kumar and Nandy, S K and Narayan, Ranjani (2017) Multiprocessor system-on-chip for processing data in cloud computing. [Book Chapter]

Biswas, P and Narayan, R and Nandy, SK and Alle, Mythri and Varadarajan, K and Mondal, R and Udupa, PP (2010) Accelerating Numerical Linear Algebra Kernels on a Scalable Run Time Reconfigurable Platform. In: 2010 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 5-7 July 2010, Lixouri, Kefalonia.

Biswas, Prasenjit and Alle, Mythri and Nandy, SK and Narayan, R and Varadarajan, Keshavan (2010) Design space exploration of systolic realization of QR factorization on a runtime reconfigurable platform. In: 2010 International Conference on Embedded Computer Systems (SAMOS), 19-22 July 2010, Samos.

Biswas, Sovan and Babu, RV (2017) Anomaly detection via short local trajectories. In: NEUROCOMPUTING, 242 . pp. 63-72.

Boda, Sunil Kumar and Pandit, Subhendu and Garai, Aditya and Pal, Debnath and Basu, Bikramjit (2016) Bacterial siderophore mimicking iron complexes as DNA targeting antimicrobials. In: RSC ADVANCES, 6 (45). pp. 39245-39260.

Boominathan, Lokesh and Kruthiventi, Srinivas SS and Babu, Venkatesh R (2016) CrowdNet: A Deep Convolutional Network for Dense Crowd Counting. In: 24th ACM Multimedia Conference (MM), OCT 15-19, 2016, Amsterdam, NETHERLANDS, pp. 640-644.

Boominathan, Lokesh and Srinivas, Suraj and Babu, RV (2016) Compensating for Large In-Plane Rotations in Natural Images. In: 10th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), DEC 18-22, 2016, Indian Inst Technol, Guwahati, INDIA.

Breland, DS and Dayal, A and Jha, A and Yalavarthy, PK and Pandey, OJ and Cenkeramaddi, LR (2021) Robust Hand Gestures Recognition Using a Deep CNN and Thermal Images. In: IEEE Sensors Journal, 21 (23). pp. 26602-26614.

Breland, DS and Skriubakken, SB and Dayal, A and Jha, A and Yalavarthy, PK and Cenkeramaddi, LR (2021) Deep Learning-Based Sign Language Digits Recognition from Thermal Images with Edge Computing System. In: IEEE Sensors Journal, 21 (9). pp. 10445-10453.

C

Chakrabarti, Bornali and Bairagya, Hridoy R and Mukhopadhyay, Bishnu P and Sekar, K (2017) New biochemical insight of conserved water molecules at catalytic and structural Zn2+ ions in human matrix metalloproteinase-I: a study by MD-simulation. In: JOURNAL OF MOLECULAR MODELING, 23 (2).

Chakraborty, A and Singh, A and Bohara, VA and Srivastava, A (2020) A Visible Light Communication based predictive system for the height and location estimation of an obstacle. In: 2020 IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2020, 14-17 Dec 2020, New Delhi; India.

Chandra, G and Jain, C (2023) Sequence to Graph Alignment Using Gap-Sensitive Co-linear Chaining. In: 27th International Conference on Research in Computational Molecular Biology, RECOMB 2023, 16 - 19 April 2023, Istanbul, pp. 58-73.

Chandrasekaran, P and Kumar, C Santosh and Rangachari, K and Sekar, K (2019) Disassociation of beta 1-alpha 1-beta 2 from the alpha 2-alpha 3 domain of prion protein (PrP) is a prerequisite for the conformational conversion of PrPC into PrPSc: Driven by the free energy landscape. In: INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES, 136 . pp. 368-376.

Chatterjee, D and Dutta, A and Sil, D and Chandra, A (2023) Deep Single Shot Musical Instrument Identification using Scalograms. In: 5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023, 20 - 23 February 2023, Virtual, Online, pp. 386-389.

Chaturvedi, S and Simmhan, Y (2019) Toward resilient stream processing on clouds using moving target defense. In: 22nd IEEE International Symposium on Real-Time Distributed Computing, ISORC 2019, 7 May 2019-9 May 2019, Valencia, pp. 134-142.

Chaturvedi, S and Tyagi, S and Simmhan, Y (2021) Cost-Effective Sharing of Streaming Dataflows for IoT Applications. In: IEEE Transactions on Cloud Computing, 9 (4). pp. 1391-1407.

Chaturvedi, Shilpa and Tyagi, Sahil and Simmhan, Yogesh (2017) Collaborative Reuse of Streaming Dataflows in IoT Applications. In: 13th IEEE International Conference on eScience, eScience 2017, 24-27 October 2017, Auckland, pp. 403-412.

Chaudhary, D and Kahali, B and Simmhan, Y (2019) An empirical study on efficient storage of human genome data. In: 26th IEEE International Conference on High Performance Computing Workshops, HiPCW 2019, 17-20, December 2019, Hyderabad, pp. 87-92.

Chaudhary, SK and Iyyappan, Y and Elayappan, M and Jeyakanthan, J and Sekar, K (2019) Insights into product release dynamics through structural analyses of thymidylate kinase. In: International Journal of Biological Macromolecules, 123 . pp. 637-647.

Cheemanapalli, S and Palaniappan, C and Mahesh, Y and Iyyappan, Y and Yarrappagaari, S and Kanagaraj, S (2022) In vitro and in silico perspectives to explain anticancer activity of a novel syringic acid analog ((4-(1H-1, 3-benzodiazol-2-yl)-2, 6-dimethoxy phenol)) through apoptosis activation and NFkB inhibition in K562 leukemia cells. In: Computers in Biology and Medicine, 152 .

Choubey, N and Verma, A and Chakraborty, A (2023) Automated Crowd Parameter Estimation and Crowd Movement Analysis in Kumbh Mela. In: 6th International Conference of Transportation Research Group of India, CTRG 2021, 14 - 17 December 2021, Tiruchirappalli, pp. 303-318.

Choudhury, S and Komaragiri, JR and Tiwari, PC and Sirunyan, AM and Tumasyan, A and Adam, W (2019) Search for low-mass resonances decaying into bottom quark-antiquark pairs in proton-proton collisions at root s=13 TeV. In: PHYSICAL REVIEW D, 99 (1).

Chowdhury, R and Subramani, DN (2020) Physics-Driven Machine Learning for Time-Optimal Path Planning in Stochastic Dynamic Flows. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2- 4 October 2020, Boston, pp. 293-301.

Chowdhury, Rohit and Navsalkar, Atharva and Subramani, Deepak (2022) GPU-Accelerated Multi-Objective Optimal Planning in Stochastic Dynamic Environments. In: Journal of Marine Science and Engineering, 10 (4). ISSN 2077-1312

Chowdhury, Shubhankar Roy and Roy, Debasish (2019) A non-equilibrium thermodynamic model for viscoplasticity and damage: Two temperatures and a generalized fluctuation relation. In: INTERNATIONAL JOURNAL OF PLASTICITY, 113 . pp. 158-184.

Cucinotta, T and Mueller, F and Simmhan, Y (2022) Guest editorial: Special issue on the 2020 IEEE symposium on real-time distributed computing (ISORC). In: Journal of Systems Architecture, 124 .

D

Das, A and Namtirtha, A and Dutta, A (2022) Fuzzy clustering of Acute Lymphoblastic Leukemia images assisted by Eagle strategy and morphological reconstruction. In: Knowledge-Based Systems, 239 .

Das, NR and Chaudhury, KN and Pal, D (2022) Improved NMR-data-compliant protein structure modeling captures context-dependent variations and expands the scope of functional inference. In: Proteins: Structure, Function and Bioinformatics .

Das, P and Singh, M and Roy, DG (2022) Blockchain-Based COVID-19 Detection Framework Using Federated Deep Learning. In: International Conference on Network Security and Blockchain Technology, ICNSBT 2021, 2 - 4 December 2021, Kolkata, pp. 369-378.

Das, S and Manjunath, K and Biswas, A and Sekar, K (2022) Therapeutic target identification and evaluation using machine learning. [Book Chapter]

Das, S and Motamarri, P and Subramanian, V and Rogers, DM and Gavini, V (2022) DFT-FE 1.0: A massively parallel hybrid CPU-GPU density functional theory code using finite-element discretization. In: Computer Physics Communications, 280 .

Das, S and Sahoo, JK and Behera, R (2022) Further results on weighted core inverse in a ring. In: Linear and Multilinear Algebra .

Dasgupta, R and Arun, A and Sinha, S (2022) Emergent activity networks in a model of punctuated equilibrium. In: European Physical Journal Plus, 137 (12).

Dasgupta, SS and Ray, SN and Talukdar, P (2020) Hyte: Hyperplane-based temporally aware knowledge graph embedding. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 31 Oct-4 Nov 2018, Brussels, Belgium, pp. 2001-2011.

Dayal, A and Paluru, N and Cenkeramaddi, LR and Soumya, J and Yalavarthy, PK (2021) Design and implementation of deep learning based contactless authentication system using hand gestures. In: Electronics (Switzerland), 10 (2). pp. 1-15.

Debnath, B and Kumaran, V and Kesava Rao, K (2019) The transition from steady non-oscillatory flow to oscillatory flow of granular material through a vertical channel: A dem study. In: 2019 AIChE Annual Meeting, 10-15 November 2019, Hyatt RegencyOrlando; United States.

Deepa Maheshvare, M and Raha, S and König, M and Pal, D (2023) A pathway model of glucose-stimulated insulin secretion in the pancreatic β-cell. In: Frontiers in Endocrinology, 14 .

Dhanaprakaash, G and Jaiswal, B and Acharya, S and Kumar, A and Varman, AM and Shah, K and Gadde, MS and Mishra, S and Gopalan, A and Amrutur, B and Tyagi, H and Patil, P and Krishnapuram, R and Banerjee, SS and Sundaram, S (2021) Network Based Multi-Bot Awareness. In: 2021 International Conference on COMmunication Systems and NETworkS, COMSNETS 2021, 5-9 Jan 2021, Bangalore; India, pp. 138-139.

Dindokar, R and Simmhan, Y (2019) Adaptive partition migration for irregular graph algorithms on elastic resources. In: 12th IEEE International Conference on Cloud Computing, CLOUD 2019, 8 - 13 July 2019, Milan, pp. 281-290.

Divakar, Nithish and Babu, R Venkatesh (2017) Image Denoising via CNNs: An Adversarial Approach. In: 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017, 21 - 26 July 2017, Honolulu, pp. 1076-1083.

Doraiswamy, H and Kalagi, V and Ramachandra, K and Haritsa, JR (2023) A Case for Graphics-driven Query Processing. In: 49th International Conference on Very Large Data Bases, VLDB 2023, 28 August - 1 September 2023, Vancouver, pp. 2499-2511.

Dutta, Riya and Jain, Kritika and Venkatapathi, Murugesan and Basu, J K (2019) Large emission enhancement and emergence of strong coupling with plasmons in nanoassemblies: Role of quantum interactions and finite emitter size. In: PHYSICAL REVIEW B, 100 (15).

de Oliveira, Silvia Rodrigues and Raha, Soumyendu and Pal, Debnath (2018) Global Asymptotic Stability of a Non-linear Population Model of Diabetes Mellitus. In: Differential and Difference Equations with Applications. ICDDEA 2017 - International Conference on Differential & Difference Equations and Applications, June 5 - 9, 2017, Amadora, Portugal, pp. 351-357.

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Emelyanov, PG and Krishna, M and Kulkarni, V and Nandy, SK and Ponomaryov, DK and Raha, S (2021) Factorization of Boolean Polynomials: Parallel Algorithms and Experimental Evaluation. In: Programming and Computer Software, 47 (2). pp. 108-118.

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Ferraz, O and Subramaniyan, S and Chinthalaa, R and Andrade, J and Cavallaro, JR and Nandy, SK and Silva, V and Zhang, X and Purnaprajna, M and Falcao, G (2022) A Survey on High-Throughput Non-Binary LDPC Decoders: ASIC, FPGA, and GPU Architectures. In: IEEE Communications Surveys and Tutorials, 24 (1). pp. 524-556.

Foreman-Mackey, Daniel and Agol, Eric and Ambikasaran, Sivaram and Angus, Ruth (2017) Fast and Scalable Gaussian Process Modeling with Applications to Astronomical Time Series. In: ASTRONOMICAL JOURNAL, 154 (6).

Foreman-Mackey, Daniel and Agol, Eric and Ambikasaran, Sivaram and Angus, Ruth (2017) Fast and Scalable Gaussian Process Modeling with Applications to Astronomical Time Series. In: ASTRONOMICAL JOURNAL, 154 (6).

Fu, Xiao and Huang, Kejun and Papalexakis, Evangelos E and Song, Hyun Ah and Talukdar, Partha and Sidiropoulos, Nicholas D and Faloutsos, Christos and Mitchell, Tom (2019) Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data. In: IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 31 (12). pp. 2304-2318.

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Gadi, R and Vinayachandran, PN and Subramani, DN (2021) Data-driven feature-oriented modeling of Southwest Monsoon Current. In: Ocean Modelling, 168 .

Ganesan, Sashikumaar and Lingeshwaran, Shangerganesh (2017) Galerkin finite element method for cancer invasion mathematical model. In: Computers & Mathematics with Applications, 73 (12). pp. 2603-2617. ISSN 08981221

Ganesan, Sashikumaar and Lingeshwaran, Shangerganesh (2017) A biophysical model of tumor invasion. In: COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 46 . pp. 135-152.

Ganguli, AK and Manivannan, V and Sood, AK and Rao, CNR (1989) New family of thallium cuprate superconductors not containing calcium or barium: TlSrn+1−xLnxCunO2n+3+δ (Ln=La, Pr, or Nd). In: Applied Physics Letters, 55 (25). 2664 -2666.

Garg, A and Pal, D (2019) Exploring the use of molecular dynamics in assessing protein variants for phenotypic alterations. In: Human Mutation, 40 (9). pp. 1424-1435.

Garg, A and Pal, D (2021) Inferring metal binding sites in flexible regions of proteins. In: Proteins: Structure, Function and Bioinformatics .

Garg, D and Ganesan, S (2021) Generalized local projection stabilized nonconforming finite element methods for Darcy equations. In: Numerical Algorithms .

Garg, D and Ganesan, S (2023) Local projection stabilized finite element methods for advection–reaction problems. In: Calcolo, 60 (4).

Garg, D and Ganesan, S (2022) An overlapping local projection stabilization for Galerkin approximations of Stokes and Darcy flow problems. In: Applied Numerical Mathematics, 171 . pp. 106-127.

Garg, D and Shirolkar, P and Shukla, A and Simmhan, Y (2020) TorqueDB: Distributed querying of time-series data from edge-local storage. In: 26th International European Conference on Parallel and Distributed Computing, Euro-Par 2020, 24-28 August 2020, Warsaw; Poland, pp. 281-295.

Garg, Surya Kant and Lakshmi, J and Johny, Jain (2018) Migrating VM workloads to Containers: Issues and Challenges. In: 11th IEEE International Conference on Cloud Computing (CLOUD) Part of the IEEE World Congress on Services, JUL 02-07, 2018, San Francisco, CA, pp. 778-785.

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Gerontitis, D and Behera, R and Shi, Y and Stanimirović, PS (2022) A robust noise tolerant zeroing neural network for solving time-varying linear matrix equations. In: Neurocomputing, 508 . pp. 254-274.

Ghosh, A and Lakshmi, J (2022) Understanding the Resiliency of Cloud Storage Services. In: 27th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2022, 28 November - 1 December 2022, Virtual, Online, pp. 172-183.

Ghosh, I (2021) Within Host Dynamics of SARS-CoV-2 in Humans: Modeling Immune Responses and Antiviral Treatments. In: SN Computer Science, 2 (6).

Ghosh, I and Martcheva, M (2021) Modeling the effects of prosocial awareness on COVID-19 dynamics: Case studies on Colombia and India. In: Nonlinear Dynamics, 104 . pp. 4681-4700.

Ghosh, I and Nadim, SS and Raha, S and Pal, D (2023) Dynamics of a single-strain and two-strain respiratory infection driven by travel on a metapopulation network. In: Nonlinear Dynamics, 111 (22). pp. 21371-21389.

Gornale, SS and Kumar, S and Siddalingappa, R and Mane, A (2022) Gender Classification Based on Online Signature Features using Machine Learning Techniques. In: International Journal of Intelligent Systems and Applications in Engineering, 10 (2). pp. 260-268.

Goswami, S and Tallapragada, P (2019) One-shot coordination of feeder vehicles for multi-modal transportation. In: 18th European Control Conference, ECC 2019, 25 June 2019 - 28 June 2019, Naples, pp. 1714-1719.

Goswami, SK and Aditya, K (2022) An asynchronous discontinuous-Galerkin method for solving PDEs at extreme scales. In: AIAA AVIATION 2022 Forum, 27 June - 1 July 2022, Chicago.

Goswami, SK and Matthew, VJ and Aditya, K (2023) Implementation of low-storage Runge-Kutta time integration schemes in scalable asynchronous partial differential equation solvers. In: Journal of Computational Physics, 477 .

Gruber, A and Bothien, MR and Ciani, A and Aditya, K and Chen, JH and Williams, FA (2021) Direct Numerical Simulation of hydrogen combustion at auto-ignitive conditions: Ignition, stability and turbulent reaction-front velocity. In: Combustion and Flame, 229 .

Guha, S and Kodipalli, A and Rao, T (2023) Computational Deep Learning Models for Detection of COVID-19 Using Chest X-Ray Images. In: Lecture Notes in Electrical Engineering, 25- 26 February 2022, Bengaluru, pp. 291-306.

Guha Roy, D and Mahato, B and De, D and Srirama, SN (2022) Quality of experience aware recommendation system with IoT data filtration for handshaking among users using MQTT-SN protocol. In: Journal of Ambient Intelligence and Humanized Computing .

Guleria, A and Lakshmi, J and Padala, C (2019) EMF: Disaggregated GPUs in Datacenters for Efficiency, Modularity and Flexibility. In: 8th IEEE International Conference on Cloud Computing in Emerging Markets, 19-20 September 2019, Bengaluru, India, pp. 1-8.

Guleria, A and Lakshmi, J and Padala, C (2019) QuADD: QUantifying accelerator disaggregated datacenter efficiency. In: 12th IEEE International Conference on Cloud Computing, CLOUD 2019, 8 July 2019- 13 July 2019, Milan, pp. 349-357.

Gunalan, Seshan and Somarathinam, Kanagasabai and Bhattacharya, Jayanti and Srinivasan, Shantkriti and Jaimohan, S M and Manoharan, Ravi and Ramachandran, Sowmya and Kanagaraj, Sekar and Kothandan, Gugan (2019) Understanding the dual mechanism of bioactive peptides targeting the enzymes involved in Renin Angiotensin System (RAS): An in-silico approach. In: JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS .

Gupta, S and Padmashali, N and Pal, D (2023) INTERPIN: A repository for intrinsic transcription termination hairpins in bacteria. In: Biochimie .

Gupta, S and Padmashali, N and Pal, D (2023) INTERPIN: A repository for intrinsic transcription termination hairpins in bacteria. In: Biochimie, 214-B . pp. 228-236.

Gupta, S and Pal, D (2021) Clusters of hairpins induce intrinsic transcription termination in bacteria. In: Scientific Reports, 11 (1).

Gupta, S and Rai, PK and Kumar, A and Yalavarthy, PK and Cenkeramaddi, LR (2021) Target Classification by mmWave FMCW Radars Using Machine Learning on Range-Angle Images. In: IEEE Sensors Journal, 21 (18). pp. 19993-20001.

Gupta, U and Vadhiyar, S (2019) Fast and Accurate Learning of Knowledge Graph Embeddings at Scale. In: 26th Annual IEEE International Conference on High Performance Computing, HiPC 2019, 17-20. December 2019, Hyderabad, pp. 173-182.

Gupta, V and Saw, A and Nokhiz, P and Netrapalli, P and Rai, P and Talukdar, P (2020) P-SIF: Document embeddings using partition averaging. In: AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, 7- 12 February 2020, New York, pp. 7863-7870.

Gutta, S and Kalva, SK and Pramanik, M and Yalavarthy, PK (2018) Accelerated image reconstruction using extrapolated Tikhonov filtering for photoacoustic tomography. In: Medical Physics, 45 (8). pp. 3749-3767.

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Hariprasad, M (2019) Determinant of binary circulant matrices. In: Special Matrices, 7 (1). pp. 92-94.

Hariprasad, M (2022) MAGIC SQUARES FROM SIMPLE SQUARES. In: Mathematics Student, 91 (1-2). pp. 159-170.

Haritha, K and Sukumaran, VB and Singh, C (2021) Slotted Aloha for FMCW Radar Networks. In: 27th National Conference on Communications, NCC 2021c, 27-30 Jul 2021, Kanpur.

Haritsa, JR (2020) Robust Query Processing: Mission Possible. In: Proceedings of the VLDB Endowment, 13 (12). pp. 3425-3428.

Haritsa, Jayant R and Sudarshan, S (2019) Turbocharging Database Query Processing and Testing. In: COMMUNICATIONS OF THE ACM, 62 (11). pp. 48-49.

Haty, A and Ray, RK and Kumar, A (2023) A computational study of forced convection from rotating circular cylinder heated with time-periodic pulsating temperature. In: 2nd International Conference on Recent Advances in Fluid and Thermal Sciences 2020, iCRAFT 2020, 19- 21 March 2021.

Honnalgere, A and Nayak, G (2019) Classification of normal versus malignant cells in B-ALL white blood cancer microscopic images. [Book Chapter]

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Iqbal, S and Malik, MZ and Pal, D (2021) Network-based identification of miRNAs and transcription factors and in silico drug screening targeting δ-secretase involved in Alzheimer's disease. In: Heliyon, 7 (12).

Iqbal, S and Potharaju, R and Naveen, S and Lokanath, NK and Mohanakrishnan, AK and Gunasekaran, K (2021) Design, crystal structure determination, molecular dynamic simulation and MMGBSA calculations of novel p38-alpha MAPK inhibitors for combating Alzheimer�s disease. In: Journal of Biomolecular Structure and Dynamics .

Isaac, A and Jawlekar, A and Venkatapathi, M (2023) An algorithm for estimating non-convex volumes and other integrals in n dimensions. In: Computational and Applied Mathematics, 42 (6).

Iyer, N and Ganesan, S (2020) Parallel smoothers in multigrid method for heterogeneous CPU-GPU environment. [Book Chapter]

Iyyappan, Y and Dhayabaran, V and Elayappan, M and Chaudhary, SK and Palaniappan, C and Kanagaraj, S (2023) Functional characterization of a hypothetical protein (TTHA1873) from Thermus thermophilus. In: Proteins: Structure, Function and Bioinformatics .

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Jain, C (2023) Coverage-preserving sparsification of overlap graphs for long-read assembly. In: Bioinformatics (Oxford, England), 39 (3).

Jain, C and Gibney, D and Thankachan, SV (2022) Algorithms for Colinear Chaining with Overlaps and Gap Costs. In: Journal of computational biology : a journal of computational molecular cell biology, 29 (11). pp. 1237-1251.

Jain, C and Gibney, D and Thankachan, SV (2022) Co-linear Chaining with Overlaps and Gap Costs. In: 26th International Conference on Research in Computational Molecular Biology, RECOMB 2022, 22 - 25 May 2022, San Diego, pp. 246-262.

Jain, C and Rhie, A and Hansen, NF and Koren, S and Phillippy, AM (2022) Long-read mapping to repetitive reference sequences using Winnowmap2. In: Nature Methods .

Jain, C and Tavakoli, N and Aluru, S (2021) A variant selection framework for genome graphs. In: Bioinformatics, 37 . I460-I467.

Jain, Kritika and Venkatapathi, Murugesan (2022) Radiative decay of an emitter due to non-Markovian interactions with dissipating matter. In: Journal of Physics: Condensed Matter, 34 (26). ISSN 0953-8984

Jain, Kritika and Venkatapathi, Murugesan (2019) Strong Coupling of an Emitter with Absorbing Matter: A Regime for Enhancement of Light Emission. In: PHYSICAL REVIEW APPLIED, 11 (5).

Jain, P and Manglani, K and Venkatapathi, M (2023) Error Estimators and Their Analysis for CG, Bi-CG, and GMRES. In: Numerical Analysis and Applications, 16 (2). pp. 135-153.

Jaiswal, SD and Simmhan, Y (2019) A partition-centric distributed algorithm for identifying euler circuits in large graphs. In: 33rd IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2019, 20 - 24 May 2019, Rio de Janeiro, pp. 452-459.

Jamadagni, Nitin and Simmhan, Yogesh (2016) GoDB: From Batch Processing to Distributed Querying over Property Graphs. In: 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), MAY 16-19, 2016, Cartagena, COLOMBIA, pp. 281-290.

Jambigi, C and Masud, U and Chakraborty, A (2022) G-PReDICT: Generalizable Person Re-ID using Domain Invariant Contrastive Techniquesg±. In: 13th Indian Conference on Computer Vision, Graphics, and Image Processing,, 8 - 10 Dec 2022, Gandhinagar.

Jat, S and Tang, H and Talukdar, P and Mitchel, T (2020) Relating simple sentence representations in deep neural networks and the brain. In: 57th Annual Meeting of the Association for Computational Linguistics, ACL 2019, 28 July-2 August 2019, Florence; Italy, pp. 5137-5154.

Jha, Shantenu and Katz, S Daniel and Luckow, Andre and Hong, Neil Chue and Rana, Omer and Simmhan, Yogesh (2017) Introducing distributed dynamic data-intensive (D3) science: Understanding applications and infrastructure. In: CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 29 (8).

Jonnalagadda, A and Sharma, A and Agrawal, A (2023) On application of the regularized lattice Boltzmann method for isothermal flows with non-vanishing Knudsen numbers. In: Numerical Heat Transfer, Part B: Fundamentals .

Joshi, SM and Kazolea, M and Ricchiuto, M (2022) Parameter Sensitivity for Wave-Breaking Closures in Boussinesq-Type Models. In: Water Waves .

Jouquet, P and Pando, A and Aroui, H and Harit, A and Capowiez, Y and Bottinelli, N (2018) Evidence from Mid-Infrared Spectroscopy (MIRS) that the biochemical fingerprints of Odontotermes obesus colonies change according to their geographical location and age. In: INSECTES SOCIAUX, 65 (1). pp. 77-84.

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Kadimesetty, VS and Gutta, S and Ganapathy, S and Yalavarthy, PK (2019) Convolutional neural network-based robust denoising of low-dose computed tomography perfusion maps. In: IEEE Transactions on Radiation and Plasma Medical Sciences, 3 (2). pp. 137-152.

Kala, S and Nalesh, S and Jose, BR and Mathew, J (2017) Image reconstruction using novel two-dimensional Fourier transform. [Book Chapter]

Kala, S and Nalesh, S and Jose, BR and Mathew, J and Ottavi, M (2018) Two dimensional FFT architecture based on radix-43 algorithm with efficient output reordering. In: 13th IEEE International Conference on Design and Technology of Integrated Systems In Nanoscale Era, DTIS 2018, 10 - 12 April 2018, Taormina, pp. 1-2.

Kalikar, S and Jain, C and Vasimuddin, M and Misra, S (2022) Accelerating minimap2 for long-read sequencing applications on modern CPUs. In: Nature Computational Science, 2 (2). pp. 78-83.

Karanjkar, N and Joshi, SM (2021) Mixed discrete-continuous simulation for digital Twins. In: 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, 7-9 Jul 2021, pp. 422-429.

Karmali, T and Atrishi, A and Harsha, SS and Agrawal, S and Jampani, V and Babu, RV (2022) LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity. In: 22nd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, 4 January 2022 through 8 January 2022, Waikoloa, pp. 3046-3055.

Karmali, T and Parihar, R and Agrawal, S and Rangwani, H and Jampani, V and Singh, M and Babu, RV (2022) Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. In: 17th European Conference on Computer Vision, ECCV 2022, 23 - 27 October 2022, Tel Aviv, pp. 443-459.

Karthik, S and Haritsa, JR and Kenkre, S and Pandit, V and Krishnan, L (2019) Platform-Independent Robust Query Processing. In: IEEE Transactions on Knowledge and Data Engineering, 31 (1). pp. 17-31.

Karthik, Srinivas and Haritsa, Jayant R and Kenkre, Sreyash and Pandit, Vinayaka (2016) Platform-independent Robust Query Processing. In: 32nd IEEE International Conference on Data Engineering (ICDE), MAY 16-20, 2016, Helsinki, FINLAND, pp. 325-336.

Kashyap, R and Yerra, NV and Oja, J and Bala, S and Potuganti, GR and Thota, JR and Alla, M and Pal, D and Addlagatta, A (2021) Exo-selective intermolecular Diels�Alder reaction by PyrI4 and AbnU on non-natural substrates. In: Communications Chemistry, 4 (1).

Kathirvel, RP and Agrawal, S and Radhakrishnan, VB (2021) Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting. In: IEEE Transactions on Computational Imaging, 7 . pp. 1228-1239.

Katrahalli, U and Shanker, G and Pal, D and Hadagali, MD (2022) Molecular spectroscopic and docking analysis of the interaction of fluorescent thiadicarbocyanine dye with biomolecule bovine serum albumin. In: Journal of Biomolecular Structure and Dynamics .

Kaushik, A and Yalavarthy, PK and Saha, RK (2020) Convergent Born series improves the accuracy of numerical solution of time-independent photoacoustic wave equation. In: Journal of Modern Optics, 67 (9). pp. 849-855.

Kesarwani, M and Kaul, A and Singh, G and Deshpande, PM and Haritsa, JR (2018) Collusion-Resistant Processing of SQL Range Predicates. In: Data Science and Engineering, 3 (4). pp. 323-340.

Kesarwani, M and Kaul, A and Singh, G and Deshpande, PM and Haritsa, JR (2018) Collusion-resistant processing of SQL range predicates. In: 23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018, 21 - 24 May 2018, Gold Coast, pp. 211-227.

Khamvilai, T and Sutter, L and Mains, JB and Feron, E and Baufreton, P and Neumann, F and Krishna, M and Nandy, SK and Narayan, R and Haldar, C (2019) Task Allocation of Safety-Critical Applications on Reconfigurable Multi-Core Architectures with an Application on Control of Propulsion System. In: 2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC), 8-12 Sept. 2019, San Diego, CA, USA, USA.

Khochare, A and Krishnan, A and Simmhan, Y (2021) A Scalable Platform for Distributed Object Tracking across a Many-Camera Network. In: IEEE Transactions on Parallel and Distributed Systems, 32 (6). pp. 1479-1493.

Khochare, A and Ravindra, P and Reddy, SP and Simmhan, Y (2018) Distributed Video Analytics Across Edge and Cloud Using ECHO. In: 15th International Conference on Service-Oriented Computing, ICSOC 2017,, 13 - 16 November 2017, Malaga, pp. 402-407.

Khochare, A and Sheshadri, KR and Shriram, R and Simmhan, Y (2019) Dynamic scaling of video analytics for wide-area tracking in Urban spaces. In: Proceedings - 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2019, 14 May 2019 - 17 May 2019, Larnaca, pp. 76-81.

Khochare, A and Simmhan, Y (2019) A scalable and composable analytics platform for distributed wide-area tracking. In: 20th International Conference on Distributed Computing and Networking, ICDCN 2019, 4 - 7 January 2019, Bangalore, p. 506.

Khochare, A and Simmhan, Y and Mehta, S and Agarwal, A (2022) Toward Scientific Workflows in a Serverless World. In: Proceedings - 2022 IEEE 18th International Conference on e-Science, eScience 2022, 10 - 14 October 2022, Salt Lake City, pp. 399-400.

Kilpatrick, AM and Rahman, F and Anjum, A and Shome, S and Andalib, KMS and Banik, S and Chowdhury, SF and Coombe, P and Astroz, YC and Douglas, JM and Eranti, P and Kiran, AD and Kumar, S and Lim, H and Lorenzi, V and Lubiana, T and Mahmud, S and Puche, R and Rybarczyk, A and Al Sium, SM and Twesigomwe, D and Zok, T and Orengo, CA and Friedberg, I and Kelso, JF and Welch, L (2022) Characterizing domain-specific open educational resources by linking ISCB Communities of Special Interest to Wikipedia. In: Bioinformatics (Oxford, England), 38 (1). i19-i27.

Kolla, H and Aditya, K and Chen, JH Aditya, K, ed (2020) Higher order tensors for DNS data analysis and compression. Data Analysis for Direct Numerical Simulations of Turbulent Combustion . Springer International Publishing, Switzerland, pp. 109-134. ISBN 978-303044718-2, 978-303044717-5

Kon, R and Kumar, D (2023) Stability of Rosenzweig–MacArthur models with non-diffusive dispersal on non-regular networks. In: Theoretical Population Biology, 150 . pp. 14-22.

Krishnan, MN and Prakash, N and Lalitha, V and Sasidharan, B and Kumar, PV and Narayanamurthy, S and Kumar, R and Nandi, S (2014) Evaluation of codes with inherent double replication for hadoop. In: 6th USENIX Workshop on Hot Topics in Storage and File Systems, HotStorage 2014, 17-18, June, 2014, Philadelphia; United States.

Kulkarni, V and Emelyanov, P and Ponomaryov, D and Krishna, M and Raha, S and Nandy, SK (2019) Parallel Factorization of Boolean Polynomials. In: 12th International Andrei P. Ershov Informatics Conference, PSI 2019; Novosibirsk; Russian Federation, 2-5 July 2019, Novosibirsk; Russian Federation, pp. 80-94.

Kumar, A and Ahuja, K and Vadapalli, R and Talukdar, P (2020) Syntax-guided controlled generation of paraphrases. In: Transactions of the Association for Computational Linguistics, 8 . pp. 330-345.

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 Ray, RK (2020) A Structural Bifurcation Analysis of Flow Phenomenon for Shear Flow Past an Inclined Square Cylinder: Application to 2D Unsteady Separation. In: Fluid Dynamics, 55 (3). pp. 391-406.

Kumar, A and Ray, RK (2020) Theoretical understanding of unsteady flow separation for shear flow past three square cylinders in vee shape using structural bifurcation analysis. In: Computational and Applied Mathematics, 39 (3).

Kumar, A and Ray, RK and Mittal, HVR (2022) Heat Transfer Past a Rotationally Oscillating Circular Cylinder in Linear Shear Flow. In: Journal of Heat Transfer, 144 (7).

Kumar, A and Ray, RK and Raha, S (2021) Impact of inlet shear on unsteady boundary layer separation from two square cylinders in tandem arrangement. In: Journal of the Brazilian Society of Mechanical Sciences and Engineering, 43 (12).

Kumar, D and Ajayakumar, A and Raha, S (2021) Stability aware spatial cut of metapopulations ecological networks. In: Ecological Complexity, 47 .

Kumar, Dinesh and Gupta, Jatin and Raha, Soumyendu (2019) Partitioning a reaction-diffusion ecological network for dynamic stability. In: PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 475 (2223).

Kumar, S and Mehta, K and Garg, S and Rasiwasia, N (2020) Improving answer selection and answer triggering using hard negatives. In: 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, 3-7 November 2019, Hong Kong; China, pp. 5911-5917.

Kumar, S and Rangarajan, A and Pal, D (2022) Somatic mutation analyses of stem-like cells in gingivobuccal oral squamous cell carcinoma reveals DNA damage response genes. In: Genomics, 114 (2).

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, V (2021) Deep Neural Network Approach to Estimate Early Worst-Case Execution Time. In: IEEE Digital Avionics Systems Conference - Proceedings, 3 - 7 October 2021, San Antonio.

Kumar, V (2023) Estimation of an Early WCET Using Different Machine Learning Approaches. In: 17th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC 2022, held in conjunction with the 17th International Conference on Broadband Wireless Computing, Communication and Applications, BWCCA 2022, 27 - 29 October 2022, Tirana, pp. 297-307.

Kumar, V (2022) An integrated approach of Genetic Algorithm and Machine Learning for generation of Worst-Case Data for Real-Time Systems. In: 26th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2022, 26 - 28 September 2022, Ales, pp. 87-95.

Kumar, V and Lal, R and Patil, H and Chakraborty, A (2023) CoNMix for Source-free Single and Multi-target Domain Adaptation. In: 23rd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2023, 3 - 7 January 2023, Waikoloa, pp. 4167-4177.

Kumar, V and Patil, H and Lal, R and Chakraborty, A (2023) Improving Domain Adaptation Through Class Aware Frequency Transformation. In: International Journal of Computer Vision .

Kumar, V and Sadekar, O and Basu, U (2020) Active Brownian motion in two dimensions under stochastic resetting. In: Physical Review E, 102 (5).

Kumar, V and Srivastava, S and Lal, R and Chakraborty, A (2021) CAFT: Class Aware Frequency Transform for Reducing Domain Gap. In: 18th IEEE/CVF International Conference on Computer Vision Workshops, 11-17 Oct 2021, pp. 2525-2534.

Kumar, V and Srivastava, S and Lal, R and Chakraborty, A (2021) CAFT: Class Aware Frequency Transform for Reducing Domain Gap. In: 18th IEEE/CVF International Conference on Computer Vision Workshops, 11-17 Oct 2021, Virtual, Online, pp. 2525-2534.

Kumar Nayak, G and Jain, S and Venkatesh Babu, R and Chakraborty, A (2020) Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images. In: 6th IEEE International Conference on Multimedia Big Data, BigMM 2020, 24 - 26 September 2020, New Delhi, pp. 267-271.

Kumari, K and Cleary, E and Desai, S and Donzis, DA and Chen, JH and Aditya, K (2023) Evaluation of finite difference based asynchronous partial differential equations solver for reacting flows. In: Journal of Computational Physics, 477 .

Kundu, JN and Bhambri, S and Kulkarni, A and Sarkar, H and Jampani, V and Babu, RV (2022) Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 27 October 2022, Tel Aviv, pp. 177-194.

Kundu, JN and Buckchash, H and Mandikal, P and Rahul, MV and Jamkhandi, A and Babu, RV (2020) Cross-conditioned recurrent networks for long-term synthesis of inter-person human motion interactions. In: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-5 March 2020, Snowmass Village, CO, USA, USA, pp. 2713-2722.

Kundu, JN and Ganeshan, A and Rahul, MV and Prakash, A and Venkatesh Babu, R (2018) ISPA-Net: Iterative semantic pose alignment network. In: 26th ACM Multimedia conference, MM 2018, 22 - 26 October 2018, Seoul, pp. 967-975.

Kundu, JN and Gor, M and Agrawal, D and Radhakrishnan, VB (2019) GAN-tree: An incrementally learned hierarchical generative framework for multi-modal data distributions. In: International Conference on Computer Vision, 27 Oct-2 Nov 2019, Seoul South Korea, pp. 8190-8199.

Kundu, JN and Gor, M and Uppala, PK and Babu, RV (2019) Unsupervised feature learning of human actions as trajectories in pose embedding manifold. In: UNSPECIFIED, pp. 1459-1467.

Kundu, JN and Gor, M and Venkatesh Babu, R (2019) BiHMP-GAN: Bidirectional 3D human motion prediction GAN. In: 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Annual Conference on Innovative Applications of Artificial Intelligence, IAAI 2019, 27 January - 1 February 2019, Honolulu, pp. 8553-8560.

Kundu, JN and Lakkakula, N and Radhakrishnan, VB (2019) UM-adapt: Unsupervised multi-task adaptation using adversarial cross-task distillation. In: 17th IEEE/CVF International Conference on Computer Vision, ICCV 2019, 27 Oct-2 Nov. 2019, South Korea, pp. 1436-1445.

Kundu, JN and Rahul, MV and Patravali, J and Babu, RV (2020) Unsupervised cross-dataset adaptation via probabilistic amodal 3D human pose completion. In: 2020 IEEE/CVF Winter Conference on Applications of Computer Vision, 1 - 5 March 2020, Snowmass Village; United States, pp. 458-467.

Kundu, JN and Rakesh, M and Jampani, V and Venkatesh, RM and Venkatesh Babu, R (2020) Appearance Consensus Driven Self-supervised Human Mesh Recovery. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 28 August 2020, Glasgow, pp. 794-812.

Kundu, JN and Revanur, A and Waghmare, GV and Venkatesh, RM and Babu, RV (2020) Unsupervised Cross-Modal Alignment for Multi-person 3D Pose Estimation. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23-28 August 2020, Glasgow, pp. 35-52.

Kundu, JN and Seth, S and Jampani, V and Rakesh, M and Venkatesh Babu, R and Chakraborty, A (2020) Self-supervised 3D human pose estimation via part guided novel image synthesis. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 14 - 19 June 2020, Virtual, Online, pp. 6151-6161.

Kundu, JN and Seth, S and Rahul, MV and Rakesh, M and Babu, RV and Chakraborty, A (2020) Kinematic-structure-preserved representation for unsupervised 3d human pose estimation. In: AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, 7 - 12 February 2020, New York, pp. 11312-11319.

Kundu, JN and Singh Rajput, G and Babu, RV (2020) VRT-Net: Real-time scene parsing via variable resolution transform. In: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-5 March 2020, Snowmass Village, CO, USA, USA, pp. 2038-2045.

Kundu, JN and Venkat, N and Revanur, A and Rahul, MVR and Babu, V (2020) Towards inheritable models for open-set domain adaptation. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, 14 - 19 June 2020, United States, pp. 12373-12382.

Kundu, JN and Venkatesh, RM and Venkat, N and Revanur, A and Babu, RV (2020) Class-Incremental Domain Adaptation. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 28 August 2020, Glasgow, pp. 53-69.

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Maity, D and Pal, D (2021) Molecular Dynamics of Hemoglobin Reveals Structural Alterations and Explains the Interactions Driving Sickle Cell Fibrillation. In: Journal of Physical Chemistry B .

Majumder, A and Babu, RV and Chakraborty, A (2018) Anomaly from motion: Unsupervised extraction of visual irregularity via motion prediction. In: 6th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, NCVPRIPG 2017, 16 - 19 December 2017, Mandi, pp. 66-77.

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Malakar, P and Natarajan, V and Vadhiyar, SS (2020) Adaptive and efficient transfer for online remote visualization of critical weather applications. In: 20th International Conference on Computational Science, 3-5, June 2020, Netherlands, pp. 674-693.

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Mishra, A and Singh, AK (2019) Deep Embedding Using Bayesian Risk Minimization with Application to Sketch Recognition. In: 14th Asian Conference on Computer Vision, ACCV 2018, 2 December 2018 - 6 December 2018, Perth, pp. 357-370.

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Mitra, M and Raj, S and Kolathaya, S (2021) Inverse Kinematics Analysis of Cassie Robot using Radial Basis Function Networks. In: 2021 International Symposium of Asian Control Association on Intelligent Robotics and Industrial Automation, IRIA 2021, 20-22 Sep 2021, Goa, pp. 351-356.

Mogilipalepu, KK and Modukuri, SK and Madapu, A and Chepuri, SP (2021) Federated Deep Unfolding for Sparse Recovery. In: European Signal Processing Conference, 23 - 27 August 2021, Dublin, pp. 1950-1954.

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Monga, SK and Ramachandra, SK and Simmhan, Y (2019) ElfStore: A resilient data storage service for federated edge and fog resources. In: 26th IEEE International Conference on Web Services, ICWS 2019, 8 - 13 July 2019, Milan, pp. 336-345.

Mopuri, KR and Athreya, VB and Babu, RV (2019) Learning representations with strong supervision for image search. In: 12th International Conference on Signal Processing and Communications, SPCOM 2018, 16 - 19 July 2018, Bangalore, pp. 192-196.

Mopuri, KR and Garg, U and Venkatesh Babu, R (2017) Fast feature fool: A data independent approach to universal adversarial perturbations. In: 28th British Machine Vision Conference, BMVC 2017, 4-7 September 2017, London; United Kingdom.

Mopuri, KR and Uppala, PK and Babu, RV (2018) Ask, acquire, and attack: data-free UAP generation using class impressions. In: 15th European Conference on Computer Vision, ECCV 2018, 8 - 14 September 2018, Munich, pp. 20-35.

Mopuri, Konda Reddy and Ganeshan, Aditya and Babu, R Venkatesh (2019) Generalizable Data-Free Objective for Crafting Universal Adversarial Perturbations. In: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 41 (10). pp. 2452-2465.

Mopuri, Konda Reddy and Garg, Utsav and Babu, Venkatesh R (2019) CNN Fixations: An Unraveling Approach to Visualize the Discriminative Image Regions. In: IEEE TRANSACTIONS ON IMAGE PROCESSING, 28 (4). pp. 2116-2125.

Mopuri, Konda Reddy and Ojha, Utkarsh and Garg, Utsav and Babu, R Venkatesh (2018) NAG: Network for Adversary Generation. In: 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), JUN 18-23, 2018, Salt Lake City, UT, pp. 742-751.

Muralidharan, Monita and Mitra, Amrita and Maity, Dibyajyoti and Pal, Debnath and Mandal, Amit Kumar (2019) Structural analysis of glutathionyl hemoglobin using native mass spectrometry. In: JOURNAL OF STRUCTURAL BIOLOGY, 208 (3).

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Namtirtha, A and Dutta, A and Dutta, B and Sundararajan, A and Simmhan, Y (2021) Best influential spreaders identification using network global structural properties. In: Scientific Reports, 11 (1).

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Namtirtha, A and Kumar, KRS and Jain, S and Simmhan, Y and Kumar, MSM (2023) Placement Strategies for Water Quality Sensors Using Complex Network Theory for Continuous and Intermittent Water Distribution Systems. In: Water Resources Research, 59 (7).

Nandi, S and Addepalli, S and Rangwani, H and Babu, RV (2023) Certified Adversarial Robustness Within Multiple Perturbation Bounds. In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023, 18 - 22 June 2023, Vancouver, BC, Canada, pp. 2298-2305.

Natarajan, S and KrishnaKumar, N and Anuchan, HV and Pal, D and Nandy, SK (2018) ReneGENE-Novo: Co-designed algorithm-architecture for accelerated preprocessing and assembly of genomic short reads. In: 14th International Symposium on Applied Reconfigurable Computing, ARC 2018, 2 - 4 May 2018, Santorini, pp. 564-577.

Natarajan, S and KrishnaKumar, N and Pal, D and Nandy, SK (2018) ReneGENE-GI: Empowering precision genomics with FPGAs on HPCs. In: 14th International Symposium on Applied Reconfigurable Computing, ARC 2018, 2 - 4 May 2018, Santorini, pp. 178-191.

Natarajan, Santhi and KrishnaKumar, N and Pavan, M and Pal, Debnath and Nandy, SK (2018) ReneGENE-DP: Accelerated Parallel Dynamic Programming for Genome Informatics. In: IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), MAR 16-17, 2018, Bangalore, INDIA.

Natarajan, Santhi and Kumar, N Krishna and Pal, Dehnath and Nandy, S K (2016) AccuRA: Accurate Alignment of Short Reads on Scalable Reconfigurable Accelerators. In: International Conference on Embedded Computer Systems - Architectures, Modeling and Simulation (SAMOS), JUL 17-21, 2016, Samos, GREECE, pp. 79-87.

Natesan, S and Singh, MK (2021) Robust computational method for singularly perturbed system of parabolic convection-diffusion problems with interior layers. In: Computational and Mathematical Methods, 3 (6).

Nath Kundu, J and Venkat, N and Rahul, MV and Venkatesh Babu, R (2020) Universal Source-Free Domain Adaptation. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 14 - 19 June 2020, Virtual, Online, pp. 4543-4552.

Navaneet, KL and Mandikal, P and Agarwal, M and Venkatesh Babu, R (2019) CAPNet: Continuous approximation projection for 3D point cloud reconstruction using 2D supervision. In: 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Annual Conference on Innovative Applications of Artificial Intelligence, 27 January - 1 February 2019, Hilton Hawaii VillageHonolulu; United States, pp. 8819-8826.

Navaneet, KL and Sarvadevabhatla, RK and Shekhar, S and Venkatesh Babu, R and Chakraborty, A (2020) Operator-in-the-Loop Deep Sequential Multi-Camera Feature Fusion for Person Re-Identification. In: IEEE Transactions on Information Forensics and Security, 15 . pp. 2375-2385.

Navaneet, KL and Todi, V and Babu, RV and Chakraborty, A (2019) All for One: Frame-wise Rank Loss for Improving Video-based Person Re-identification. In: 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019, 12 - 17 May 2019, Brighton, pp. 2472-2476.

Nayak, DR and Bhat, N and Venkatapathi, M and Umapathy, S (2018) Signal Enhancement from Tunable SERS Substrates: Design and Demonstration of Multiple Regimes of Enhancement. In: Journal of Physical Chemistry C, 122 (16). pp. 9134-9140.

Nayak, GK and Mopuri, KR and Shaj, V and Venkatesh Babu, R and Chakraborty, A (2019) Zero-shot knowledge distillation in deep networks. In: 36th International Conference on Machine Learning, ICML 2019, 9 -15 June 2019, Long Beach; United States, pp. 8317-8325.

Nayak, GK and Rawal, R and Chakraborty, A (2022) DAD: Data-free Adversarial Defense at Test Time. In: 22nd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, 4 - 8 January 2022, Waikoloa, pp. 3788-3797.

Nayak, GK and Rawal, R and Chakraborty, A (2023) DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers. In: 23rd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2023, 3 - 7 January 2023, Waikoloa, pp. 4611-4620.

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Nayak, GK and Shreemali, U and Babu, RV and Chakraborty, A (2019) Efficient Person Re-Identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP). In: 26th IEEE International Conference on Image Processing, ICIP 2019, 22 - 25 September 2019, Taipei, pp. 4569-4573.

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Pal, D (2021) Spike protein fusion loop controls SARS-CoV-2 fusogenicity and infectivity. In: Journal of Structural Biology, 213 (2).

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Parmar, M and Devi, VS (2018) Neural machine translation with recurrent highway networks. In: 6th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2018, 20 - 22 December 2018, Cluj-Napoca, pp. 299-308.

Pasula, A and Subramani, DN (2022) 4D-Var Data Assimilation of Sea Surface Temperature in a Regional Model of the Andaman Sea. In: Oceans Conference Record (IEEE), 17- 20 October 2022, Hampton Roads.

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Potu, Shirish and Anand, SK and Raha, Soumyendu (2019) Robust Initial Satellite Orbit Determination method using a Modified Kalman Filter. In: JOURNAL OF NAVIGATION, 72 (3). pp. 528-538.

Prabhakar, K Ram and Srikar, V Sai and Babu, R Venkatesh (2017) DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs. In: 16th IEEE International Conference on Computer Vision, ICCV 2017, 22 - 29 October 2017, Venice, pp. 4724-4732.

Prabhakar, KR and Agrawal, S and Singh, DK and Ashwath, B and Babu, RV (2020) Towards Practical and Efficient High-Resolution HDR Deghosting with CNN. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 28 August 2020, Glasgow, pp. 497-513.

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Prabhakar, KR and Ramaswamy, A and Bhambri, S and Gubbi, J and Babu, RV and Purushothaman, B (2020) CDNet++: Improved Change Detection with Deep Neural Network Feature Correlation. In: International Joint Conference on Neural Networks, IJCNN 2020;, 19 July 2020 through 24 July 2020, Virtual, Glasgow; United Kingdom.

Prabhu, SS and Suku, L and Babu, GLS (2019) Effect of Anisotropic Consolidation on Response of Aggregates Subjected to Repeated Loading. In: Indian Geotechnical Journal, 49 (3). pp. 328-340.

Pradhan, BR and Bethi, Y and Narayanan, S and Chakraborty, A and Thakur, CS (2019) N-HAR: A neuromorphic event-based human activity recognition system using memory surfaces. In: 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019, 26 - 29 May 2019, Sapporo.

Prakash, J and Agarwal, U and Yalavarthy, PK (2021) Multi GPU parallelization of maximum likelihood expectation maximization method for digital rock tomography data. In: Scientific Reports, 11 (1).

Prakash, J and Kalva, SK and Pramanik, M and Yalavarthy, PK (2021) Binary photoacoustic tomography for improved vasculature imaging. In: Journal of Biomedical Optics, 26 (8).

Prakash, Jaya and Sanny, Dween and Kalva, Sandeep Kumar and Pramanik, Manojit and Yalavarthy, Phaneendra K (2019) Fractional Regularization to Improve Photoacoustic Tomographic Image Reconstruction. In: IEEE TRANSACTIONS ON MEDICAL IMAGING, 38 (8). pp. 1935-1947.

Prasanna, B and Sanyal, S and Babu, RV (2023) Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation. In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023, 18 - 22 June 2023, Vancouver, BC, Canada, pp. 2457-2463.

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Raghavan, SS and Iqbal, S and Ayyadurai, N and Gunasekaran, K (2022) Insights in the structural understanding of amyloidogenicity and mutation-led conformational dynamics of amyloid beta (Aβ) through molecular dynamics simulations and principal component analysis. In: Journal of Biomolecular Structure and Dynamics, 40 (12). pp. 5577-5587.

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Raj, S and Padhi, S and Simmhan, Y (2023) Ocularone: Exploring Drones-based Assistive Technologies for the Visually Impaired. In: 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023, 23-28 April 2023, Hamburg.

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Rajput, J and Chandra, G and Jain, C (2023) Co-Linear Chaining on Pangenome Graphs. In: 23rd International Workshop on Algorithms in Bioinformatics, WABI 2023, 4-6 September 2023, Bangalore, India.

Rakesh, M and Kundu, JN and Jampani, V and Babu, RV (2021) Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery. In: 35th Conference on Neural Information Processing Systems, NeurIPS 2021, 6 - 14 December 2021, Virtual, Online, pp. 4582-4593.

Ramesh, S and Baranawal, A and Simmhan, Y (2020) A Distributed Path Query Engine for Temporal Property Graphs. In: 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGRID 2020, 11-14, May 2020, Australia, pp. 499-508.

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Ramoji, S and Mohan, A and Mysore, B and Bhatia, A and Singh, P and Vardhan, H and Ganapathy, S (2019) The Leap Speaker Recognition System for NIST SRE 2018 Challenge. In: 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019, 12 May 2019-17 May 2019, Brighton, pp. 5771-5775.

Rangachari, K and Bankoti, Namrata and Shyamala, N and Michael, Daliah and Ahmed, Z Sameer and Chandrasekaran, P and Sekar, K (2019) Glaucoma Pred: Glaucoma prediction based on Myocilin genotype and phenotype information. In: GENOMICS, 111 (4). pp. 696-699.

Rangwani, H and Aithal, SK and Mishra, M and Venkatesh Babu, R (2022) Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data. In: 36th Conference on Neural Information Processing Systems, NeurIPS 2022, 28 - 9 December 2022, New Orleans.

Rangwani, H and Jaswani, N and Karmali, T and Jampani, V and Babu, RV (2022) Improving GANs for Long-Tailed Data Through Group Spectral Regularization. In: 17th European Conference on Computer Vision, ECCV 2022, 23 - 27 October 2022, Tel Aviv, pp. 426-442.

Rangwani, H and Mopuri, KR and Babu, RV (2021) Class Balancing GAN with a Classifier in the Loop. In: 37th Conference on Uncertainty in Artificial Intelligence, UAI 2021, 27 - 30 July 2021, pp. 1618-1627.

Ranjan, E and Sanyal, S and Talukdar, P (2020) ASAP: Adaptive structure aware pooling for learning hierarchical graph representations. In: AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, 7 - 12 February 2020, New York, pp. 5470-5477.

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Rastogi, A and Yalavarthy, PK (2021) SpiNet: A deep neural network for Schatten p-norm regularized medical image reconstruction. In: Medical Physics .

Ravibabu, M and Singh, A (2020) The Least squares and line search in extracting eigenpairs in Jacobi–Davidson method. In: BIT Numerical Mathematics, 60 (4). pp. 1033-1055.

Ravindra, Pushkara and Khochare, Aakash and Reddy, Siva Prakash and Sharma, Sarthak and Varshney, Prateeksha and Simmhan, Yogesh (2017) ECHO: An adaptive orchestration platform for hybrid dataflows across cloud and edge. In: 15th International Conference on Service-Oriented Computing, ICSOC 2017, 13 November 2017 through 16 November 2017, Malaga, pp. 395-410.

Ray, SN and Dasgupta, SS and Talukdar, P (2018) Ad3: Attentive deep document dater. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 31st October- 4th November 2018, Brussels, Belgium, pp. 1871-1880.

Raychaudhury, C and Pal, D (2020) Usefulness of graph vertex complexity and class partial information content in explaining gas phase thermal entropy of chemical compounds. In: Journal of Mathematical Chemistry, 58 (5). pp. 887-892.

Raychaudhury, C and Rizvi, I H and Pal, D (2019) Predicting gas phase entropy of select hydrocarbon classes through specific information-theoretical molecular descriptors. In: SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 30 (7). pp. 491-505.

Raychaudhury, Chandan and Rizvi, Md Imbesat Hassan and Pal, Debnath (2019) Combinatorial Design of Molecule using Activity-Linked Substructural Topological Information as Applied to Antitubercular Compounds. In: CURRENT COMPUTER-AIDED DRUG DESIGN, 15 (1). pp. 67-81.

Reddy, Kasireddy V and Mitra, Abhishek and Yalavarthy, Phaneendra K (2017) Fast Analytical Spectral Filtering Methods for Magnetic Resonance Perfusion Quantification. In: 38th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), AUG 16-20, 2016, Orlando, FL, pp. 1224-1227.

Reddy, MHL and Ganesan, S (2019) Thirty-five moment theory for dilute smooth hard sphere gases. In: 31st International Symposium on Rarefied Gas Dynamics, RGD 2018, 23 - 27 July 2018, Glasgow.

Reja, S and Ghosh, S and Ghosh, I and Paul, A and Bhattacharya, S (2022) Investigation and control strategy for canine distemper disease on endangered wild dog species: a model-based approach. In: SN Applied Sciences, 4 (6).

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Rizvi, MIH and Raychaudhury, C and Pal, D (2019) Combinatorial Drug Discovery from Activity-Related Substructure Identification. [Book Chapter]

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Safiriyu, AA and Singh, M and Kishore, A and Mulchandani, V and Maity, D and Behera, A and Sinha, B and Pal, D and Das Sarma, J (2022) Two Consecutive Prolines in the Fusion Peptide of Murine β-Coronavirus Spike Protein Predominantly Determine Fusogenicity and May Be Essential but Not Sufficient to Cause Demyelination. In: Viruses, 14 (4).

Saha, A and Sarkar, I (2023) Highly Accurate Protein Structure Classification and Prediction. In: 2nd International Conference on Computational Systems and Communication, ICCSC 2023, 3- 4 March 2023, Thiruvananthapuram.

Saha, M and Deshpande, N and Dubey, A and Pal, D and Atreya, HS and Rangarajan, A (2021) Sustained AMPK Activation and Proline Metabolism Play Critical Roles in the Survival of Matrix-Deprived Transformed Cells. In: Frontiers in Cell and Developmental Biology, 9 .

Sahadevan, AS and Ahmad, T and Lyngdoh, RB and Kumar, DN (2023) Endmember variability based abundance estimation of red and black soil over sparsely vegetated area using AVIRIS-NG hyperspectral image. In: Advances in Space Research .

Sahoo, JK and Boggarapu, P and Behera, R and Nashed, MZ (2023) GD1 inverse and 1GD inverse for bounded operators on Banach spaces. In: Computational and Applied Mathematics, 42 (5).

Sahu, PK and Patel, KS and Behera, R (2023) Three-Time Levels Compact Scheme for Pricing European Options Under Regime Switching Jump-Diffusion Models. In: International Conference on Mathematics and Computing (ICMC 2023), 6-8 January 2023, Goa, pp. 367-378.

Sahu, R and Nagal, A and Dixit, KK and Unnibhavi, H and Mantravadi, S and Nair, S and Simmhan, Y and Mishra, B and Zele, R and Sutaria, R and Motghare, VM and Kar, P and Tripathi, SN (2021) Robust statistical calibration and characterization of portable low-cost air quality monitoring sensors to quantify real-time O3 and NO2 concentrations in diverse environments. In: Atmospheric Measurement Techniques, 14 (1). pp. 37-52.

Saichand, C and Alageshan, JK and Roy, A and Hatwalne, Y (2020) Stability of topological wall defects on spheres with n-atic order. In: Physical Review Research, 2 (2).

Sailapathi, A and Murugan, G and Somarathinam, K and Gunalan, S and Jagadeesan, R and Yoosuf, N and Kanagaraj, S and Kothandan, G (2020) Proposing the Promiscuous Protein Structures in JNK1 and JNK3 for Virtual Screening in Pursuit of Potential Leads. In: ACS Omega, 5 (8). pp. 3969-3978.

Sailor, HB and Patil, HA and Rajpal, A (2018) Unsupervised Filterbank Learning for Speech-based Access System for Agricultural Commodity. In: 9th International Conference on Advances in Pattern Recognition, ICAPR 2017, 27 - 30 December 2017, Bangalore, pp. 210-215.

Sajini Anand, PS and Bhat, VH and Ramesh, S (2019) Optimal Cost Truck Triangulation in a Dynamic Intermodal Freight Transportation Supply Chain. In: 2019 Fifteenth International Conference on Information Processing (ICINPRO), 20-22 Dec. 2019, Bengaluru, India, India.

Sam, DB and Agarwalla, A and Radhakrishnan, VB (2022) Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels. In: 36th AAAI Conference on Artificial Intelligence, AAAI 2022, 22 February - 1 March 2022, Virtual, Online, pp. 2162-2170.

Sam, DB and Peri, SV and Sundararaman, MN and Kamath, A and Babu, RV (2021) Locate, size, and count: Accurately resolving people in dense crowds via detection. In: IEEE Transactions on Pattern Analysis and Machine Intelligence, 43 (8). pp. 2739-2751.

Sam, DB and Vishwanath Peri, S and Mukuntha, NS and Venkatesh Babu, R (2020) Going beyond the regression paradigm with accurate dot prediction for dense crowds. In: 2020 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2020, 1-5 March 2020, Snowmass Village; United States, pp. 2853-2861.

Sam, Deepak Babu and Sajjan, Neeraj N and Babu, R Venkatesh and Srinivasan, Mukundhan (2018) Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN. In: 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), JUN 18-23, 2018, Salt Lake City, UT, pp. 3618-3626.

Sammeturi, Manjunatha and Shaik, Althaf Hussain and Bongu, Sasi Bhusana Rao and Cheemanapalli, Srinivasulu and Mohammad, Altaf and Kodidhela, Lakshmi Devi (2019) Protective effects of syringic acid, resveratrol and their combination against isoprenaline administered cardiotoxicity in wistar rats. In: SAUDI JOURNAL OF BIOLOGICAL SCIENCES, 26 (7). pp. 1429-1435.

Sanghi, A and Santhanam, R and Haritsa, JR (2021) Towards Generating HiFi Databases. In: 26th International Conference on Database Systems for Advanced Applications, DASFAA 2021, 11-14 Apr 2021, Taipei, pp. 105-112.

Sanny, Dween Rabius and Prakash, Jaya and Kalva, Sandeep Kumar and Pramanik, Manojit and Yalavarthy, Phaneendra K (2018) Spatially variant regularization based on model resolution and fidelity embedding characteristics improves photoacoustic tomography. In: JOURNAL OF BIOMEDICAL OPTICS, 23 (10).

Santhosh, R and Bankoti, N and Gurudarshan, M and Jeyakanthan, J and Sekar, K (2020) IMRPS: Inserted and Modified Residues in Protein Structures. A database. In: Journal of Applied Crystallography, 53 . pp. 569-573.

Santhosh, R and Chandrasekaran, P and Michael, Daliah and Rangachari, K and Bankoti, Namrata and Jeyakanthan, J and Sekar, K (2019) ACMS: a database of alternate conformations found in the atoms of main and side chains of protein structures. In: JOURNAL OF APPLIED CRYSTALLOGRAPHY, 52 (4). pp. 910-913.

Santra, S and Mohapatra, J and Das, P and Choudhuri, D (2023) Higher order approximations for fractional order integro-parabolic partial differential equations on an adaptive mesh with error analysis. In: Computers and Mathematics with Applications, 150 . pp. 87-101.

Sarkar, L and Oko, L and Gupta, S and Bubak, AN and Das, B and Gupta, P and Safiriyu, AA and Singhal, C and Neogi, U and Bloom, D and Banerjee, A and Mahalingam, R and Cohrs, RJ and Koval, M and Shindler, KS and Pal, D and Nagel, M and Sarma, JD (2022) Azadirachta indica A. Juss bark extract and its Nimbin isomers restrict β-coronaviral infection and replication. In: Virology, 569 . pp. 13-28.

Sarvadevabhatla, RK and Surya, S and Mittal, T and Venkatesh Babu, R (2018) Game of sketches: Deep recurrent models of pictionary-style word guessing. In: 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, 2 - 7 February 2018, New Orleans, pp. 7331-7338.

Sarvadevabhatla, Ravi Kiran and Babu, Venkatesh R (2016) Analyzing Structural Characteristics of Object Category Representations From Their Semantic-part Distributions. In: 24th ACM Multimedia Conference (MM), OCT 15-19, 2016, Amsterdam, NETHERLANDS, pp. 92-96.

Sarvadevabhatla, Ravi Kiran and Dwivedi, Isht and Biswas, Abhijat and Manocha, Sahil and Venkatesh Babu, R (2017) SketchParse: Towards rich descriptions for poorly drawn sketches using multi-task hierarchical deep networks. In: 25th ACM International Conference on Multimedia, MM 2017, 23 - 27 October 2017, Mountain View, pp. 10-18.

Sarvadevabhatla, Ravi Kiran and Suresh, Sudharshan and Babu, RV (2017) Object Category Understanding via Eye Fixations on Freehand Sketches. In: IEEE TRANSACTIONS ON IMAGE PROCESSING, 26 (5). pp. 2508-2518.

Sarvadevabhatla, Ravi Kiran and Surya, Shiv and Mittal, Trisha and Babu, R Venkatesh (2020) Pictionary-Style Word Guessing on Hand-Drawn Object Sketches: Dataset, Analysis and Deep Network Models. In: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 42 (1). pp. 221-231.

Sarvadevabhatla, Ravi Kiran and Venkatraman, Shanthakumar and Venkatesh Babu, R (2017) ‘Part’ly First Among Equals: Semantic Part-Based Benchmarking for State-of-the-Art Object Recognition Systems. In: 13th Asian Conference on Computer Vision, ACCV 2016, November 20-24, 2016, Taipei, Taiwan, pp. 181-197.

Savojardo, Castrense and Petrosino, Maria and Babbi, Giulia and Bovo, Samuele and Corbi-Verge, Caries and Casadio, Rita and Fariselli, Piero and Folkman, Lukas and Garg, Aditi and Karimi, Mostafa and Katsonis, Panagiotis and Kim, Philip M and Lichtarge, Olivier and Martelli, Pier Luigi and Pasquo, Alessandra and Pal, Debnath and Shen, Yang and Strokach, Alexey and Turin, Paola and Zhou, Yaoqi and Andreoletti, Gaia and Brenner, Steven E and Chiaraluce, Roberta and Consalvi, Valerio and Capriotti, Emidio (2019) Evaluating the predictions of the protein stability change upon single amino acid substitutions for the FXN CAGI5 challenge. In: HUMAN MUTATION, 40 (9, SI). pp. 1392-1399.

Sawant, Y and Kundu, JN and Radhakrishnan, VB and Sridharan, D (2022) A Midbrain Inspired Recurrent Neural Network Model for Robust Change Detection. In: Journal of Neuroscience, 42 (44). pp. 8262-8283.

Saxena, A and Chakrabarti, S and Talukdar, P (2021) Question answering over temporal knowledge graphs. In: Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL-IJCNLP 2021, 1 August - 6 August 2021, Virtual, Online, pp. 6663-6676.

Seshan, G and Kanagasabai, S and Ananthasri, S and Kannappan, B and Suvitha, A and Jaimohan, S M and Kanagaraj, S and Kothandan, G (2020) Insights of structure-based pharmacophore studies and inhibitor design against Gal3 receptor through molecular dynamics simulations. In: Journal of Biomolecular Structure and Dynamics .

Sharma, A and Parekh, Z and Talukdar, P (2017) Speeding up reinforcement learning-based information extraction training using asynchronous methods. In: 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017, 9 - 11 September 2017, Copenhagen, pp. 2658-2663.

Shaw, Calvin B and Li, Zhiqiu and Pogue, Brian W and Yalavarthy, Phaneendra K (2016) Direct Sensitivity Based Data-Optimization Strategy for Image-Guided Diffuse Optical Tomography. In: IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS, 22 (3).

Shravan, SK and Lakshmi, J and Bisht, Neeraj (2018) Towards Improving Data Center Utilisation by Reducing Fragmentation. In: 11th IEEE International Conference on Cloud Computing (CLOUD) Part of the IEEE World Congress on Services, JUL 02-07, 2018, San Francisco, CA, pp. 941-945.

Shreemali, U and Chakraborty, A (2020) Robust gait based human identification on incomplete and multi-view sequences. In: Multimedia Tools and Applications .

Shukla, Anshu and Simmhan, Yogesh (2017) Benchmarking Distributed Stream Processing Platforms for IoT Applications. In: PERFORMANCE EVALUATION AND BENCHMARKING: TRADITIONAL - BIG DATA - INTERNET OF THINGS, TPCTC 2016, SEP 05-09, 2016, New Delhi, INDIA, pp. 90-106.

Siddalingappa, R and Kanagaraj, S (2021) Anomaly Detection on Medical Images using Autoencoder and Convolutional Neural Network. In: International Journal of Advanced Computer Science and Applications, 12 (7). pp. 148-156.

Siddalingappa, R and Kanagaraj, S (2023) A Novel ML Approach for Computing Missing Sift, Provean, and Mutassessor Scores in Tp53 Mutation Pathogenicity Prediction. In: International Journal of Advanced Computer Science and Applications, 14 (6). pp. 1038-1047.

Siddalingappa, R and Sekar, K (2022) Bi-directional long short term memory using recurrent neural network for biological entity recognition. In: IAES International Journal of Artificial Intelligence, 11 (1). pp. 89-101.

Simha, A and Raha, S (2019) A Riemannian geometric approach to output tracking for nonholonomic systems. In: 11th IFAC Symposium on Nonlinear Control Systems, NOLCOS 2019, 4-6 September 2019, Vienna; Austria, pp. 144-149.

Simmhan, Y and Khochare, A and Ramachandra, SK (2020) Computing and storage models for edge computing. [Book Chapter]

Simmhan, Y and Nair, S and Monga, S and Sahu, R and Dixit, K and Sutaria, R and Mishra, B and Sharma, A and Anand, SVR and Hegde, M and Zele, R and Tripathi, SN (2019) SATVAM: Toward an iot cyber-infrastructure for low-cost urban air quality monitoring. In: 15th IEEE International Conference on eScience, eScience 2019, 24 - 27 September 2019, San Diego, pp. 57-66.

Simmhan, Y and Rambha, T and Khochare, A and Ramesh, S and Baranawal, A and George, JV and Bhope, RA and Namtirtha, A and Sundararajan, A and Bhargav, SS and Thakkar, N and Kiran, R (2020) GoCoronaGo: Privacy Respecting Contact Tracing for COVID-19 Management. In: Journal of the Indian Institute of Science, 100 (4). pp. 623-646.

Simmhan, Yogesh and Choudhury, Neel (2019) Distributed Graph Analytics. In: 16th International Conference on Distributed Computing and Internet Technology, ICDCIT 2020, 9 January 2020 - 12 January 2020, Hyderabad, pp. 3-20.

Sindagi, VA and Yasarla, R and Babu, DS and Babu, RV and Patel, VM (2020) Learning to Count in the Crowd from Limited Labeled Data. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 28 August 2020, Glasgow, pp. 212-229.

Sindhu, T and Debnath, P (2022) Cytochrome bc1-aa3 Oxidase Supercomplex As Emerging and Potential Drug Target Against Tuberculosis. In: Current Molecular Pharmacology, 15 (2). pp. 380-392.

Sindhu, T and Rajamanikandan, S and Jeyakanthan, J and Pal, D (2023) Investigation of protein-ligand binding motions through protein conformational morphing and clustering of cytochrome bc1-aa3 super complex. In: Journal of Molecular Graphics and Modelling, 118 .

Sindhura, C and Al Fahim, M and Yalavarthy, PK and Gorthi, S (2023) Fully automated sinogram-based deep learning model for detection and classification of intracranial hemorrhage. In: Medical Physics .

Singh, AK and Mishra, A and Shekhar, S and Chakraborty, A (2019) From strings to things: Knowledge-enabled VQA model that can read and reason. In: 17th IEEE/CVF International Conference on Computer Vision, ICCV 2019, 27 Oct-2 Nov, 2019, South Korea, pp. 4601-4611.

Singh, MK and Natesan, S (2020) Numerical solution of 2D singularly perturbed reaction�diffusion system with multiple scales. In: Computers and Mathematics with Applications, 80 (4). pp. 36-53.

Singh, MK and Singh, G and Natesan, S (2020) A unified study on superconvergence analysis of Galerkin FEM for singularly perturbed systems of multiscale nature. In: Journal of Applied Mathematics and Computing .

Singh, Manmeet and Kishore, Abhinoy and Maity, Dibyajyoti and Sunanda, Punnepalli and Krishnarjuna, Bankala and Vappala, Sreeparna and Raghothama, Srinivasarao and Kenyon, Lawrence C. and Pal, Debnath and Das Sarma, Jayasri (2019) A proline insertion-deletion in the spike glycoprotein fusion peptide of mouse hepatitis virus strongly alters neuropathology. In: JOURNAL OF BIOLOGICAL CHEMISTRY, 294 (20). pp. 8064-8087.

Singh, R and Ranga, SV and Patil, S and Krishna, M and Mehta, M and Anoop, MN and Nandy, SK and Haldar, C and Narayan, R and Neumann, F and Baufreton, P (2019) Micro-Architectural support for High Availability of NoC-based MP-SoC. In: 2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC), 8-12 Sept. 2019, San Diego, CA, USA, USA.

Sitha, B and Sahoo, JK and Behera, R (2022) Characterization of Weighted (b,c) Inverse of an Element in a Ring. In: Filomat, 36 (14). pp. 4629-4644.

Sreenivasan, V and Kumar, S and Pestilli, F and Talukdar, P and Sridharan, D (2022) GPU-accelerated connectome discovery at scale. In: Nature Computational Science, 2 (5). pp. 298-306.

Srinivas, Suraj and Sarvadevabhatla, Ravi K and Mopuri, Konda R and Prabhu, Nikita and Kruthiventi, Srinivas SS and Babu, R Venkatesh (2017) An Introduction to Deep Convolutional Neural Nets for Computer Vision. [Book Chapter]

Srinivas, Suraj and Subramanya, Akshayvarun and Babu, R Venkatesh (2017) Training Sparse Neural Networks. In: 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017, 21-26 July 2017, Honolulu, pp. 455-462.

Sriramanan, G and Addepalli, S and Baburaj, A and Venkatesh Babu, R (2020) Guided adversarial attack for evaluating and enhancing adversarial defenses. In: 34th Conference on Neural Information Processing Systems, NeurIPS 2020, 6-12, December, 2020, Virtual, Online.

Srivastava, Shweta and Ganesan, Sashikumaar (2019) Local projection stabilization with discontinuous Galerkin method in time applied to convection dominated problems in time-dependent domains. In: BIT NUMERICAL MATHEMATICS .

Subasri, S and Chaudhary, SK and Kesharwani, M and Sekar, K and Velmurugan, D (2022) Missense mutations in fumarate hydratase leading to cancer: Molecular modeling and molecular dynamics simulations of the mutants. [Book Chapter]

Subramanya, A and Mopuri, KR and Babu, RV (2018) BatchOut: Batch-level feature augmentation to improve robustness to adversarial examples. In: 11th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2018, 18-22 December 2018, International Institute of Information Technology Hyderabad.

Sutter, Louis and Khamvilai, Thanakorn and Monmousseau, Philippe and Mains, John B and Feron, Eric and Baufreton, Philippe and Neumann, Francois and Krishna, Madhava and Nandy, SK and Narayan, Ranjani and Haldar, Chandan (2018) Experimental Allocation of Safety-Critical Applications on Reconfigurable Multi-Core Architecture. In: IEEE/AIAA 37th Digital Avionics Systems Conference (DASC), SEP 23-27, 2018, London, ENGLAND, pp. 833-842.

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Tiwari, M and Vadhiyar, S (2022) Communication Overlapping Pipelined Conjugate Gradients for Distributed Memory Systems and Heterogeneous Architectures. In: 27th International Conference on Parallel and Distributed Computing, Euro-Par 2021, 30 - 31 August 2021, Virtual, Online, pp. 535-539.

Tiwari, M and Vadhiyar, S (2020) Pipelined Preconditioned Conjugate Gradient Methods for Distributed Memory Systems. In: 27th IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2020, 16-18 Dec 2020, Pune; India, pp. 151-160.

Tiwari, M and Vadhiyar, S (2022) Pipelined Preconditioned Conjugate Gradient Methods for real and complex linear systems for distributed memory architectures. In: Journal of Parallel and Distributed Computing, 163 . pp. 147-155.

Tiwari, M and Vadhiyar, S (2021) Pipelined Preconditioned s-step Conjugate Gradient Methods for Distributed Memory Systems. In: 2021 IEEE International Conference on Cluster Computing, Cluster 2021, 7-10 Sep 2021, Portland, OR, USA (Virtual), pp. 215-225.

Tiwari, M and Vadhiyar, S (2022) Strategies for Efficient Execution of Pipelined Conjugate Gradient Method on GPU Systems. In: 37th International Conference on High Performance Computing , ISC High Performance 2022, 29 May - 2 June 2022, Hamburg, pp. 77-89.

Tripathi, A and Dani, RR and Mishra, A and Chakraborty, A (2023) Multimodal query-guided object localization. In: Multimedia Tools and Applications .

Tripathi, A and Dani, RR and Mishra, A and Chakraborty, A (2020) Sketch-Guided Object Localization in Natural Images. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 28 August 2020, Glasgow, pp. 532-547.

Tripathi, N and Pal, M and De, M and Das, G and Nandy, SC (2018) Guarding polyhedral terrain by k-watchtowers. In: 12th International Frontiers of Algorithmics Workshop, FAW 2018, 8 - 10 May 2018, Guangzhou, pp. 112-125.

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Uppal, T and Raha, S and Srivastava, S (2017) Trajectory feasibility evaluation using path prescribed control of unmanned aerial vehicle in differential algebraic equations framework. In: AERONAUTICAL JOURNAL, 121 (1240). pp. 770-789.

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Vaigundan, D and Yuvaraj, I and Sunita, P and Sekar, K and Murthy, MRN and Krishnaswamy, PR (2022) Structural characterization of a putative recombinant L-amino acid oxidase from Leptospira interrogans. In: Current Science, 123 (7). pp. 895-906.

Varshney, P and Ramesh, S and Chhabra, S and Khochare, A and Simmhan, Y (2022) Resilient Execution of Data-triggered Applications on Edge, Fog and Cloud Resources. In: 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2022, 16 - 19 May 2022, Taormina, pp. 473-483.

Varshney, Prateeksha and Simmhan, Yogesh (2019) AutoBoT: Resilient and Cost-Effective Scheduling of a Bag of Tasks on Spot VMs. In: IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 30 (7). pp. 1512-1527.

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Venkat, N and Nath, J and Durgesh, K and Singh, K and Revanur, A and Babu, RV (2020) Your classifier can secretly suffice multi-source domain adaptation. In: 34th Conference on Neural Information Processing Systems, NeurIPS 2020, 6-12 December, 2020, virtual.

Venkatesan, J and Ganesan, S (2019) Computational modeling of impinging viscoelastic droplets. In: Journal of Non-Newtonian Fluid Mechanics, 263 . pp. 42-60.

Venkatesan, J and Ganesan, S (2020) Finite element computations of viscoelastic two-phase flows using local projection stabilization. In: International Journal for Numerical Methods in Fluids .

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This list was generated on Fri Feb 23 14:32:40 2024 IST.