Projections for fast protein structure retrieval. - Sourangshu Bhattacharya; Chiranjib Bhattacharyya; Nagasuma R. Chandra (BMC Bioinform., 2006)

Structural alignment based kernels for protein structure classification. - Sourangshu Bhattacharya; Chiranjib Bhattacharyya; Nagasuma R. Chandra (ICML, 2007)

Kernels on Attributed Pointsets with Applications. - Mehul Parsana; Sourangshu Bhattacharya; Chiru Bhattacharyya; K. R. Ramakrishnan (NIPS, 2007)

Comparison of protein structures by growing neighborhood alignments. - Sourangshu Bhattacharya; Chiranjib Bhattacharyya; Nagasuma R. Chandra (BMC Bioinform., 2007)

Robust Formulations for Handling Uncertainty in Kernel Matrices. - Sahely Bhadra; Sourangshu Bhattacharya; Chiranjib Bhattacharyya; Aharon Ben-Tal (ICML, 2010)

Learning to tokenize web domains. - Sriram Srinivasan; Sourangshu Bhattacharya (WWW (Companion Volume), 2011)

Segmenting web-domains and hashtags using length specific models. - Sriram Srinivasan; Sourangshu Bhattacharya; Rudrasis Chakraborty (CIKM, 2012)

Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators. - Dinesh Garg; Sourangshu Bhattacharya; S. Sundararajan; Shirish K. Shevade (UAI, 2012)

Learning a Linear Influence Model from Transient Opinion Dynamics. - Abir De; Sourangshu Bhattacharya; Parantapa Bhattacharya; Niloy Ganguly; Soumen Chakrabarti (CIKM, 2014)

Distributed Weighted Parameter Averaging for SVM Training on Big Data. - Ayan Das 002; Sourangshu Bhattacharya (CoRR, 2015)

Modeling Opinion Dynamics in Diffusion Networks. - Abir De; Isabel Valera; Niloy Ganguly; Sourangshu Bhattacharya; Manuel Gomez-Rodriguez (CoRR, 2015)

Learning and Forecasting Opinion Dynamics in Social Networks. - Abir De; Isabel Valera; Niloy Ganguly; Sourangshu Bhattacharya; Manuel Gomez-Rodriguez (NIPS, 2016)

Discriminative Link Prediction using Local, Community, and Global Signals. - Abir De; Sourangshu Bhattacharya; Sourav Sarkar; Niloy Ganguly; Soumen Chakrabarti (IEEE Trans. Knowl. Data Eng., 2016)

Distributed Weighted Parameter Averaging for SVM Training on Big Data. - Ayan Das 002; Raghuveer Chanda; Smriti Agrawal; Sourangshu Bhattacharya (AAAI Workshops, 2017)

Mining Twitter and Taxi Data for Predicting Taxi Pickup Hotspots. - Sankarshan Mridha; Sayan Ghosh 002; Robin Singh; Sourangshu Bhattacharya; Niloy Ganguly (ASONAM, 2017)

Forecasting Ad-Impressions on Online Retail Websites using Non-homogeneous Hawkes Processes. - Krunal Parmar; Samuel Bushi; Sourangshu Bhattacharya; Surender Kumar (CIKM, 2017)

Analyzing Music to Music Perceptual Contagion of Emotion in Clusters of Survey-Takers, Using a Novel Contagion Interface: A Case Study of Hindustani Classical Music. - Sanga Chaki; Sourangshu Bhattacharya; Raju Mullick; Priyadarshi Patnaik (CMMR, 2017)

Link Travel Time Prediction from Large Scale Endpoint Data. - Sankarshan Mridha; Niloy Ganguly; Sourangshu Bhattacharya (SIGSPATIAL/GIS, 2017)

SLANT+: A Nonlinear Model for Opinion Dynamics in Social Networks. - Bhushan Kulkarni; Sumit Agarwal; Abir De; Sourangshu Bhattacharya; Niloy Ganguly (ICDM, 2017)

Performance Counters to Rescue: A Machine Learning based safeguard against Micro-architectural Side-Channel-Attacks. - Manaar Alam; Sarani Bhattacharya; Debdeep Mukhopadhyay; Sourangshu Bhattacharya (IACR Cryptol. ePrint Arch., 2017)

Task-Specific Representation Learning for Web-Scale Entity Disambiguation. - Rijula Kar; Susmija Reddy; Sourangshu Bhattacharya; Anirban Dasgupta 001; Soumen Chakrabarti (AAAI, 2018)

Shaping Opinion Dynamics in Social Networks. - Abir De; Sourangshu Bhattacharya; Niloy Ganguly (AAMAS, 2018)

SPIN: A Fast and Scalable Matrix Inversion Method in Apache Spark. - Chandan Misra; Swastik Haldar; Sourangshu Bhattacharya; Soumya K. Ghosh 001 (ICDCN, 2018)

Demarcating Endogenous and Exogenous Opinion Diffusion Process on Social Networks. - Abir De; Sourangshu Bhattacharya; Niloy Ganguly (WWW, 2018)

SPIN: A Fast and Scalable Matrix Inversion Method in Apache Spark. - Chandan Misra; Sourangshu Bhattacharya; Soumya K. Ghosh 001 (CoRR, 2018)

Cloud Computing-Based Non-Invasive Glucose Monitoring for Diabetic Care. - Praful P. Pai; Pradyut Kumar Sanki; Sudeep K. Sahoo; Arijit De; Sourangshu Bhattacharya; Swapna Banerjee (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

Non-link Preserving Network Embedding using Subspace Learning for Network Reconstruction. - Pradumn Kumar Pandey; Sourangshu Bhattacharya; Niloy Ganguly (COMAD/CODS, 2019)

Probabilistic Path Planning using Obstacle Trajectory Prediction. - Vasudha Todi; Gunjan Sengupta; Sourangshu Bhattacharya (COMAD/CODS, 2019)

A methodology for customizing clinical tests for esophageal cancer based on patient preferences. - Asis Roy; Sourangshu Bhattacharya; Kalyan Guin (Artif. Intell. Medicine, 2019)

Map Enhanced Route Travel Time Prediction using Deep Neural Networks. - Soumi Das; Rajath Nandan Kalava; Kolli Kiran Kumar; Akhil Kandregula; Kalpam Suhaas; Sourangshu Bhattacharya; Niloy Ganguly (CoRR, 2019)

Learning Linear Influence Models in Social Networks from Transient Opinion Dynamics. - Abir De; Sourangshu Bhattacharya; Parantapa Bhattacharya; Niloy Ganguly; Soumen Chakrabarti (ACM Trans. Web, 2019)

Attentive RNNs for Continuous-time Emotion Prediction in Music Clips. - Sanga Chaki; Pranjal Doshi; Priyadarshi Patnaik; Sourangshu Bhattacharya (AffCon@AAAI, 2020)

On Distributed Solution for Simultaneous Linear Symmetric Systems. - Chandan Misra; Utkarsh Parasrampuria; Sourangshu Bhattacharya; Soumya K. Ghosh 001 (IEEE BigData, 2020)

An Optimized Distributed Recursive Matrix Multiplication for Arbitrary Sized Matrices. - Utkarsh Parasrampuria; Chandan Misra; Sourangshu Bhattacharya (IEEE BigData, 2020)

Explaining Perceived Emotion Predictions in Music: An Attentive Approach. - Sanga Chaki; Pranjal Doshi; Sourangshu Bhattacharya; Priyadarshi Patnaik (ISMIR, 2020)

Scalable Backdoor Detection in Neural Networks. - Haripriya Harikumar; Vuong Le; Santu Rana; Sourangshu Bhattacharya; Sunil Gupta 001; Svetha Venkatesh (ECML/PKDD (2), 2020)

Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews. - Rajdeep Mukherjee; Hari Chandana Peruri; Uppada Vishnu; Pawan Goyal 002; Sourangshu Bhattacharya; Niloy Ganguly (SIGIR, 2020)

A fast scalable distributed kriging algorithm using Spark framework. - Chandan Misra; Sourangshu Bhattacharya; Soumya K. Ghosh 001 (Int. J. Data Sci. Anal., 2020)

Multi-criteria online frame-subset selection for autonomous vehicle videos. - Soumi Das; Sayan Mandal; Ashwin Bhoyar; Madhumita Bharde; Niloy Ganguly; Suparna Bhattacharya; Sourangshu Bhattacharya (Pattern Recognit. Lett., 2020)

Learning Temporal Point Processes with Intermittent Observations. - Vinayak Gupta; Srikanta Bedathur; Sourangshu Bhattacharya; Abir De (AISTATS, 2021)

PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction. - Rajdeep Mukherjee; Tapas Nayak; Yash Butala; Sourangshu Bhattacharya; Pawan Goyal 002 (EMNLP (1), 2021)

TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving. - Soumi Das; Harikrishna Patibandla; Suparna Bhattacharya; Kshounis Bera; Niloy Ganguly; Sourangshu Bhattacharya (ICCV, 2021)

Finding High-Value Training Data Subset Through Differentiable Convex Programming. - Soumi Das; Arshdeep Singh; Saptarshi Chatterjee; Suparna Bhattacharya; Sourangshu Bhattacharya (ECML/PKDD (2), 2021)

Convex Online Video Frame Subset Selection using Multiple Criteria for Data Efficient Autonomous Driving. - Soumi Das; Harikrishna Patibandla; Suparna Bhattacharya; Kshounis Bera; Niloy Ganguly; Sourangshu Bhattacharya (CoRR, 2021)

Scalable End-to-End Training of Knowledge Graph-Enhanced Aspect Embedding for Aspect Level Sentiment Analysis. - Sk Mainul Islam; Sourangshu Bhattacharya (CoRR, 2021)

Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach. - Paramita Koley; Avirup Saha; Sourangshu Bhattacharya; Niloy Ganguly; Abir De (ACM Trans. Knowl. Discov. Data, 2021)

Accurate and Efficient Channel pruning via Orthogonal Matching Pursuit. - Kiran Purohit; Anurag Reddy Parvathgari; Soumi Das; Sourangshu Bhattacharya (AIMLSystems, 2022)

MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs. - Rajdeep Mukherjee; Uppada Vishnu; Hari Chandana Peruri; Sourangshu Bhattacharya; Koustav Rudra; Pawan Goyal 002; Niloy Ganguly (WSDM, 2022)

AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanations. - Sk Mainul Islam; Sourangshu Bhattacharya (WWW, 2022)

CheckSel: Efficient and Accurate Data-valuation Through Online Checkpoint Selection. - Soumi Das; Manasvi Sagarkar; Suparna Bhattacharya; Sourangshu Bhattacharya (CoRR, 2022)

Stark: Fast and Scalable Strassen's Matrix Multiplication Using Apache Spark. - Chandan Misra; Sourangshu Bhattacharya; Soumya K. Ghosh 001 (IEEE Trans. Big Data, 2022)

Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes. - Vinayak Gupta; Srikanta Bedathur; Sourangshu Bhattacharya; Abir De (ACM Trans. Intell. Syst. Technol., 2022)

Differentiable Change-point Detection With Temporal Point Processes. - Paramita Koley; Harshavardhan Alimi; Shrey Singla; Sourangshu Bhattacharya; Niloy Ganguly; Abir De (AISTATS, 2023)

Opponent-aware Role-based Learning in Team Competitive Markov Games. - Paramita Koley; Aurghya Maiti; Niloy Ganguly; Sourangshu Bhattacharya (CoRR, 2023)

LearnDefend: Learning to Defend against Targeted Model-Poisoning Attacks on Federated Learning. - Kiran Purohit; Soumi Das; Sourangshu Bhattacharya; Santu Rana (CoRR, 2023)

In-Context Ability Transfer for Question Decomposition in Complex QA. - Venktesh V; Sourangshu Bhattacharya; Avishek Anand (CoRR, 2023)

Offsetting Unequal Competition Through RL-Assisted Incentive Schemes. - Paramita Koley; Aurghya Maiti; Sourangshu Bhattacharya; Niloy Ganguly (IEEE Trans. Comput. Soc. Syst., 2023)

A Data-Driven Defense Against Edge-Case Model Poisoning Attacks on Federated Learning. - Kiran Purohit; Soumi Das; Sourangshu Bhattacharya; Santu Rana (ECAI, 2024)

EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning. - Kiran Purohit; Venktesh V; Raghuram Devalla; Krishna Yerragorla; Sourangshu Bhattacharya; Avishek Anand (EMNLP, 2024)

VTruST: Controllable value function based subset selection for Data-Centric Trustworthy AI. - Soumi Das; Shubhadip Nag; Shreyyash Sharma; Suparna Bhattacharya; Sourangshu Bhattacharya (CoRR, 2024)

A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNs. - Kiran Purohit; Anurag Reddy Parvathgari; Sourangshu Bhattacharya (Trans. Mach. Learn. Res., 2024)

A Comparative Data-Driven Study of Intensity-Based Categorical Emotion Representations for MER. - Sanga Chaki; Sourangshu Bhattacharya; Junmoni Borgohain; Priyadarshi Patnaik; Raju Mullick; Gouri Karambelkar (IEEE Trans. Affect. Comput., 2025)

CheckSelect: Online Checkpoint Selection for Flexible, Accurate, Robust, and Efficient Data Valuation. - Soumi Das; Manasvi Sagarkar; Suparna Bhattacharya; Sourangshu Bhattacharya (IEEE Trans. Artif. Intell., 2025)

Sample Efficient Demonstration Selection for In-Context Learning. - Kiran Purohit; Venktesh V; Sourangshu Bhattacharya; Avishek Anand (CoRR, 2025)