Sourangshu Bhattacharya

78 papers A* 10A 9B 1Misc 1Journal 41Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Comparative Data-Driven Study of Intensity-Based Categorical Emotion Representations for MER. IEEE Trans. Affect. Comput. Sanga Chaki, Sourangshu Bhattacharya, Junmoni Borgohain, Priyadarshi Patnaik, Raju Mullick, Gouri Karambelkar
2025	J	`jnl`	CheckSelect: Online Checkpoint Selection for Flexible, Accurate, Robust, and Efficient Data Valuation. IEEE Trans. Artif. Intell. Soumi Das, Manasvi Sagarkar, Suparna Bhattacharya, Sourangshu Bhattacharya
2025	A*	`conf`	Sample Efficient Demonstration Selection for In-Context Learning. ICML Kiran Purohit, Venktesh V, Sourangshu Bhattacharya, Avishek Anand
2025	J	`jnl`	Sample Efficient Demonstration Selection for In-Context Learning. CoRR Kiran Purohit, Venktesh V, Sourangshu Bhattacharya, Avishek Anand
2024	A	`conf`	A Data-Driven Defense Against Edge-Case Model Poisoning Attacks on Federated Learning. ECAI Kiran Purohit, Soumi Das, Sourangshu Bhattacharya, Santu Rana
2024	J	`jnl`	A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNs. CoRR Kiran Purohit, Anurag Reddy Parvathgari, Sourangshu Bhattacharya
2024	J	`jnl`	A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNs. Trans. Mach. Learn. Res. Kiran Purohit, Anurag Reddy Parvathgari, Sourangshu Bhattacharya
2024	A*	`conf`	EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning. EMNLP Kiran Purohit, Venktesh V, Raghuram Devalla, Krishna Yerragorla, Sourangshu Bhattacharya, Avishek Anand
2024	J	`jnl`	EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning. CoRR Kiran Purohit, Venktesh V, Raghuram Devalla, Krishna Yerragorla, Sourangshu Bhattacharya, Avishek Anand
2024	J	`jnl`	VTruST: Controllable value function based subset selection for Data-Centric Trustworthy AI. CoRR Soumi Das, Shubhadip Nag, Shreyyash Sharma, Suparna Bhattacharya, Sourangshu Bhattacharya
2023	A	`conf`	Differentiable Change-point Detection With Temporal Point Processes. AISTATS Paramita Koley, Harshavardhan Alimi, Shrey Singla, Sourangshu Bhattacharya, Niloy Ganguly, Abir De
2023	J	`jnl`	In-Context Ability Transfer for Question Decomposition in Complex QA. CoRR Venktesh V, Sourangshu Bhattacharya, Avishek Anand
2023	J	`jnl`	LearnDefend: Learning to Defend against Targeted Model-Poisoning Attacks on Federated Learning. CoRR Kiran Purohit, Soumi Das, Sourangshu Bhattacharya, Santu Rana
2023	J	`jnl`	Offsetting Unequal Competition Through RL-Assisted Incentive Schemes. IEEE Trans. Comput. Soc. Syst. Paramita Koley, Aurghya Maiti, Sourangshu Bhattacharya, Niloy Ganguly
2023	J	`jnl`	Opponent-aware Role-based Learning in Team Competitive Markov Games. CoRR Paramita Koley, Aurghya Maiti, Niloy Ganguly, Sourangshu Bhattacharya
2022	A*	`conf`	AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanations. WWW Sk Mainul Islam, Sourangshu Bhattacharya
2022	—	`conf`	Accurate and Efficient Channel pruning via Orthogonal Matching Pursuit. AIMLSystems Kiran Purohit, Anurag Reddy Parvathgari, Soumi Das, Sourangshu Bhattacharya
2022	J	`jnl`	CheckSel: Efficient and Accurate Data-valuation Through Online Checkpoint Selection. CoRR Soumi Das, Manasvi Sagarkar, Suparna Bhattacharya, Sourangshu Bhattacharya
2022	A	`conf`	MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs. WSDM Rajdeep Mukherjee, Uppada Vishnu, Hari Chandana Peruri, Sourangshu Bhattacharya, Koustav Rudra, Pawan Goyal, Niloy Ganguly
2022	J	`jnl`	Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes. CoRR Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De
2022	J	`jnl`	Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes. ACM Trans. Intell. Syst. Technol. Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De
2022	J	`jnl`	Offsetting Unequal Competition through RL-assisted Incentive Schemes. CoRR Paramita Koley, Aurghya Maiti, Sourangshu Bhattacharya, Niloy Ganguly
2022	J	`jnl`	Stark: Fast and Scalable Strassen's Matrix Multiplication Using Apache Spark. IEEE Trans. Big Data Chandan Misra, Sourangshu Bhattacharya, Soumya K. Ghosh
2021	J	`jnl`	Convex Online Video Frame Subset Selection using Multiple Criteria for Data Efficient Autonomous Driving. CoRR Soumi Das, Harikrishna Patibandla, Suparna Bhattacharya, Kshounis Bera, Niloy Ganguly, Sourangshu Bhattacharya
2021	J	`jnl`	Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach. CoRR Paramita Koley, Avirup Saha, Sourangshu Bhattacharya, Niloy Ganguly, Abir De
2021	J	`jnl`	Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach. ACM Trans. Knowl. Discov. Data Paramita Koley, Avirup Saha, Sourangshu Bhattacharya, Niloy Ganguly, Abir De
2021	—	`conf`	Finding High-Value Training Data Subset Through Differentiable Convex Programming. ECML/PKDD (2) Soumi Das, Arshdeep Singh, Saptarshi Chatterjee, Suparna Bhattacharya, Sourangshu Bhattacharya
2021	J	`jnl`	Finding High-Value Training Data Subset through Differentiable Convex Programming. CoRR Soumi Das, Arshdeep Singh, Saptarshi Chatterjee, Suparna Bhattacharya, Sourangshu Bhattacharya
2021	A	`conf`	Learning Temporal Point Processes with Intermittent Observations. AISTATS Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De
2021	J	`jnl`	MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs. CoRR Rajdeep Mukherjee, Uppada Vishnu, Hari Chandana Peruri, Sourangshu Bhattacharya, Koustav Rudra, Pawan Goyal, Niloy Ganguly
2021	—	`conf`	PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction. EMNLP (1) Rajdeep Mukherjee, Tapas Nayak, Yash Butala, Sourangshu Bhattacharya, Pawan Goyal
2021	J	`jnl`	PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction. CoRR Rajdeep Mukherjee, Tapas Nayak, Yash Butala, Sourangshu Bhattacharya, Pawan Goyal
2021	J	`jnl`	Scalable End-to-End Training of Knowledge Graph-Enhanced Aspect Embedding for Aspect Level Sentiment Analysis. CoRR Sk Mainul Islam, Sourangshu Bhattacharya
2021	A*	`conf`	TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving. ICCV Soumi Das, Harikrishna Patibandla, Suparna Bhattacharya, Kshounis Bera, Niloy Ganguly, Sourangshu Bhattacharya
2020	J	`jnl`	A fast scalable distributed kriging algorithm using Spark framework. Int. J. Data Sci. Anal. Chandan Misra, Sourangshu Bhattacharya, Soumya K. Ghosh
2020	—	`conf`	An Optimized Distributed Recursive Matrix Multiplication for Arbitrary Sized Matrices. IEEE BigData Utkarsh Parasrampuria, Chandan Misra, Sourangshu Bhattacharya
2020	—	`conf`	Attentive RNNs for Continuous-time Emotion Prediction in Music Clips. AffCon@AAAI Sanga Chaki, Pranjal Doshi, Priyadarshi Patnaik, Sourangshu Bhattacharya
2020	—	`conf`	Explaining Perceived Emotion Predictions in Music: An Attentive Approach. ISMIR Sanga Chaki, Pranjal Doshi, Sourangshu Bhattacharya, Priyadarshi Patnaik
2020	J	`jnl`	Multi-criteria online frame-subset selection for autonomous vehicle videos. Pattern Recognit. Lett. Soumi Das, Sayan Mandal, Ashwin Bhoyar, Madhumita Bharde, Niloy Ganguly, Suparna Bhattacharya, Sourangshu Bhattacharya
2020	—	`conf`	On Distributed Solution for Simultaneous Linear Symmetric Systems. IEEE BigData Chandan Misra, Utkarsh Parasrampuria, Sourangshu Bhattacharya, Soumya K. Ghosh
2020	A*	`conf`	Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews. SIGIR Rajdeep Mukherjee, Hari Chandana Peruri, Uppada Vishnu, Pawan Goyal, Sourangshu Bhattacharya, Niloy Ganguly
2020	J	`jnl`	Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews. CoRR Rajdeep Mukherjee, Hari Chandana Peruri, Uppada Vishnu, Pawan Goyal, Sourangshu Bhattacharya, Niloy Ganguly
2020	—	`conf`	Scalable Backdoor Detection in Neural Networks. ECML/PKDD (2) Haripriya Harikumar, Vuong Le, Santu Rana, Sourangshu Bhattacharya, Sunil Gupta, Svetha Venkatesh
2020	J	`jnl`	Scalable Backdoor Detection in Neural Networks. CoRR Haripriya Harikumar, Vuong Le, Santu Rana, Sourangshu Bhattacharya, Sunil Gupta, Svetha Venkatesh
2019	J	`jnl`	A methodology for customizing clinical tests for esophageal cancer based on patient preferences. Artif. Intell. Medicine Asis Roy, Sourangshu Bhattacharya, Kalyan Guin
2019	J	`jnl`	Learning Linear Influence Models in Social Networks from Transient Opinion Dynamics. ACM Trans. Web Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti
2019	J	`jnl`	Map Enhanced Route Travel Time Prediction using Deep Neural Networks. CoRR Soumi Das, Rajath Nandan Kalava, Kolli Kiran Kumar, Akhil Kandregula, Kalpam Suhaas, Sourangshu Bhattacharya, Niloy Ganguly
2019	—	`conf`	Non-link Preserving Network Embedding using Subspace Learning for Network Reconstruction. COMAD/CODS Pradumn Kumar Pandey, Sourangshu Bhattacharya, Niloy Ganguly
2019	—	`conf`	Probabilistic Path Planning using Obstacle Trajectory Prediction. COMAD/CODS Vasudha Todi, Gunjan Sengupta, Sourangshu Bhattacharya
2018	J	`jnl`	Cloud Computing-Based Non-Invasive Glucose Monitoring for Diabetic Care. IEEE Trans. Circuits Syst. I Regul. Pap. Praful P. Pai, Pradyut Kumar Sanki, Sudeep K. Sahoo, Arijit De, Sourangshu Bhattacharya, Swapna Banerjee
2018	A*	`conf`	Demarcating Endogenous and Exogenous Opinion Diffusion Process on Social Networks. WWW Abir De, Sourangshu Bhattacharya, Niloy Ganguly
2018	Misc	`conf`	SPIN: A Fast and Scalable Matrix Inversion Method in Apache Spark. ICDCN Chandan Misra, Swastik Haldar, Sourangshu Bhattacharya, Soumya K. Ghosh
2018	J	`jnl`	SPIN: A Fast and Scalable Matrix Inversion Method in Apache Spark. CoRR Chandan Misra, Sourangshu Bhattacharya, Soumya K. Ghosh
2018	A	`conf`	Shaping Opinion Dynamics in Social Networks. AAMAS Abir De, Sourangshu Bhattacharya, Niloy Ganguly
2018	J	`jnl`	Stark: Fast and Scalable Strassen's Matrix Multiplication using Apache Spark. CoRR Chandan Misra, Sourangshu Bhattacharya, Soumya K. Ghosh
2018	A*	`conf`	Task-Specific Representation Learning for Web-Scale Entity Disambiguation. AAAI Rijula Kar, Susmija Reddy, Sourangshu Bhattacharya, Anirban Dasgupta, Soumen Chakrabarti
2017	—	`conf`	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. CMMR Sanga Chaki, Sourangshu Bhattacharya, Raju Mullick, Priyadarshi Patnaik
2017	—	`conf`	Distributed Weighted Parameter Averaging for SVM Training on Big Data. AAAI Workshops Ayan Das, Raghuveer Chanda, Smriti Agrawal, Sourangshu Bhattacharya
2017	A	`conf`	Forecasting Ad-Impressions on Online Retail Websites using Non-homogeneous Hawkes Processes. CIKM Krunal Parmar, Samuel Bushi, Sourangshu Bhattacharya, Surender Kumar
2017	—	`conf`	Link Travel Time Prediction from Large Scale Endpoint Data. SIGSPATIAL/GIS Sankarshan Mridha, Niloy Ganguly, Sourangshu Bhattacharya
2017	B	`conf`	Mining Twitter and Taxi Data for Predicting Taxi Pickup Hotspots. ASONAM Sankarshan Mridha, Sayan Ghosh, Robin Singh, Sourangshu Bhattacharya, Niloy Ganguly
2017	J	`jnl`	Performance Counters to Rescue: A Machine Learning based safeguard against Micro-architectural Side-Channel-Attacks. IACR Cryptol. ePrint Arch. Manaar Alam, Sarani Bhattacharya, Debdeep Mukhopadhyay, Sourangshu Bhattacharya
2017	A*	`conf`	SLANT+: A Nonlinear Model for Opinion Dynamics in Social Networks. ICDM Bhushan Kulkarni, Sumit Agarwal, Abir De, Sourangshu Bhattacharya, Niloy Ganguly
2016	J	`jnl`	A Methodology for Customizing Clinical Tests for Esophageal Cancer based on Patient Preferences. CoRR Asis Roy, Sourangshu Bhattacharya, Kalyan Guin
2016	J	`jnl`	Discriminative Link Prediction using Local, Community, and Global Signals. IEEE Trans. Knowl. Data Eng. Abir De, Sourangshu Bhattacharya, Sourav Sarkar, Niloy Ganguly, Soumen Chakrabarti
2016	—	`conf`	Learning and Forecasting Opinion Dynamics in Social Networks. NIPS Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez
2015	J	`jnl`	Distributed Weighted Parameter Averaging for SVM Training on Big Data. CoRR Ayan Das, Sourangshu Bhattacharya
2015	J	`jnl`	Modeling Opinion Dynamics in Diffusion Networks. CoRR Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez
2014	A	`conf`	Learning a Linear Influence Model from Transient Opinion Dynamics. CIKM Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti
2012	J	`jnl`	Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators CoRR Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish K. Shevade
2012	A	`conf`	Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators. UAI Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish K. Shevade
2012	A	`conf`	Segmenting web-domains and hashtags using length specific models. CIKM Sriram Srinivasan, Sourangshu Bhattacharya, Rudrasis Chakraborty
2011	—	`conf`	Learning to tokenize web domains. WWW (Companion Volume) Sriram Srinivasan, Sourangshu Bhattacharya
2010	A*	`conf`	Robust Formulations for Handling Uncertainty in Kernel Matrices. ICML Sahely Bhadra, Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Aharon Ben-Tal
2007	J	`jnl`	Comparison of protein structures by growing neighborhood alignments. BMC Bioinform. Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Nagasuma R. Chandra
2007	—	`conf`	Kernels on Attributed Pointsets with Applications. NIPS Mehul Parsana, Sourangshu Bhattacharya, Chiru Bhattacharyya, K. R. Ramakrishnan
2007	A*	`conf`	Structural alignment based kernels for protein structure classification. ICML Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Nagasuma R. Chandra
2006	J	`jnl`	Projections for fast protein structure retrieval. BMC Bioinform. Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Nagasuma R. Chandra