Sourangshu Bhattacharya

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 57

Top Topics

Sentiment Classification

Social Networks

Point Processes

Subset Selection

Top Venues

Publications

Soumi Das, Shubhadip Nag, Shreyyash Sharma, Suparna Bhattacharya, Sourangshu Bhattacharya
VTruST: Controllable value function based subset selection for Data-Centric Trustworthy AI. CoRR (2024)
Venktesh V, Sourangshu Bhattacharya, Avishek Anand
In-Context Ability Transfer for Question Decomposition in Complex QA. CoRR (2023)
Kiran Purohit, Soumi Das, Sourangshu Bhattacharya, Santu Rana
LearnDefend: Learning to Defend against Targeted Model-Poisoning Attacks on Federated Learning. CoRR (2023)
Paramita Koley, Aurghya Maiti, Niloy Ganguly, Sourangshu Bhattacharya
Opponent-aware Role-based Learning in Team Competitive Markov Games. CoRR (2023)
Paramita Koley, Aurghya Maiti, Sourangshu Bhattacharya, Niloy Ganguly
Offsetting Unequal Competition Through RL-Assisted Incentive Schemes. IEEE Trans. Comput. Soc. Syst. 10 (1) (2023)
Paramita Koley, Harshavardhan Alimi, Shrey Singla, Sourangshu Bhattacharya, Niloy Ganguly, Abir De
Differentiable Change-point Detection With Temporal Point Processes. AISTATS (2023)
Paramita Koley, Aurghya Maiti, Sourangshu Bhattacharya, Niloy Ganguly
Offsetting Unequal Competition through RL-assisted Incentive Schemes. CoRR (2022)
Soumi Das, Manasvi Sagarkar, Suparna Bhattacharya, Sourangshu Bhattacharya
CheckSel: Efficient and Accurate Data-valuation Through Online Checkpoint Selection. CoRR (2022)
Chandan Misra, Sourangshu Bhattacharya, Soumya K. Ghosh
Stark: Fast and Scalable Strassen's Matrix Multiplication Using Apache Spark. IEEE Trans. Big Data 8 (3) (2022)
Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes. ACM Trans. Intell. Syst. Technol. 13 (6) (2022)
Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes. CoRR (2022)
Sk Mainul Islam, Sourangshu Bhattacharya
AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanations. WWW (2022)
Kiran Purohit, Anurag Parvathgari, Soumi Das, Sourangshu Bhattacharya
Accurate and Efficient Channel pruning via Orthogonal Matching Pursuit. AIMLSystems (2022)
Rajdeep Mukherjee, Uppada Vishnu, Hari Chandana Peruri, Sourangshu Bhattacharya, Koustav Rudra, Pawan Goyal, Niloy Ganguly
MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs. WSDM (2022)
Soumi Das, Harikrishna Patibandla, Suparna Bhattacharya, Kshounis Bera, Niloy Ganguly, Sourangshu Bhattacharya
TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving. ICCV (2021)
Soumi Das, Harikrishna Patibandla, Suparna Bhattacharya, Kshounis Bera, Niloy Ganguly, Sourangshu Bhattacharya
Convex Online Video Frame Subset Selection using Multiple Criteria for Data Efficient Autonomous Driving. CoRR (2021)
Paramita Koley, Avirup Saha, Sourangshu Bhattacharya, Niloy Ganguly, Abir De
Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach. ACM Trans. Knowl. Discov. Data 15 (6) (2021)
Sk Mainul Islam, Sourangshu Bhattacharya
Scalable End-to-End Training of Knowledge Graph-Enhanced Aspect Embedding for Aspect Level Sentiment Analysis. CoRR (2021)
Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De
Learning Temporal Point Processes with Intermittent Observations. AISTATS (2021)
Soumi Das, Arshdeep Singh, Saptarshi Chatterjee, Suparna Bhattacharya, Sourangshu Bhattacharya
Finding High-Value Training Data Subset Through Differentiable Convex Programming. ECML/PKDD (2) (2021)
Soumi Das, Arshdeep Singh, Saptarshi Chatterjee, Suparna Bhattacharya, Sourangshu Bhattacharya
Finding High-Value Training Data Subset through Differentiable Convex Programming. CoRR (2021)
Rajdeep Mukherjee, Tapas Nayak, Yash Butala, Sourangshu Bhattacharya, Pawan Goyal
PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction. CoRR (2021)
Rajdeep Mukherjee, Tapas Nayak, Yash Butala, Sourangshu Bhattacharya, Pawan Goyal
PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction. EMNLP (1) (2021)
Paramita Koley, Avirup Saha, Sourangshu Bhattacharya, Niloy Ganguly, Abir De
Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach. CoRR (2021)
Rajdeep Mukherjee, Uppada Vishnu, Hari Chandana Peruri, Sourangshu Bhattacharya, Koustav Rudra, Pawan Goyal, Niloy Ganguly
MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs. CoRR (2021)
Rajdeep Mukherjee, Hari Chandana Peruri, Uppada Vishnu, Pawan Goyal, Sourangshu Bhattacharya, Niloy Ganguly
Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews. CoRR (2020)
Soumi Das, Sayan Mandal, Ashwin Bhoyar, Madhumita Bharde, Niloy Ganguly, Suparna Bhattacharya, Sourangshu Bhattacharya
Multi-criteria online frame-subset selection for autonomous vehicle videos. Pattern Recognit. Lett. 133 (2020)
Sanga Chaki, Pranjal Doshi, Priyadarshi Patnaik, Sourangshu Bhattacharya
Attentive RNNs for Continuous-time Emotion Prediction in Music Clips. AffCon@AAAI (2020)
Utkarsh Parasrampuria, Chandan Misra, Sourangshu Bhattacharya
An Optimized Distributed Recursive Matrix Multiplication for Arbitrary Sized Matrices. IEEE BigData (2020)
Chandan Misra, Utkarsh Parasrampuria, Sourangshu Bhattacharya, Soumya K. Ghosh
On Distributed Solution for Simultaneous Linear Symmetric Systems. IEEE BigData (2020)
Chandan Misra, Sourangshu Bhattacharya, Soumya K. Ghosh
A fast scalable distributed kriging algorithm using Spark framework. Int. J. Data Sci. Anal. 10 (3) (2020)
Haripriya Harikumar, Vuong Le, Santu Rana, Sourangshu Bhattacharya, Sunil Gupta, Svetha Venkatesh
Scalable Backdoor Detection in Neural Networks. CoRR (2020)
Rajdeep Mukherjee, Hari Chandana Peruri, Uppada Vishnu, Pawan Goyal, Sourangshu Bhattacharya, Niloy Ganguly
Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews. SIGIR (2020)
Haripriya Harikumar, Vuong Le, Santu Rana, Sourangshu Bhattacharya, Sunil Gupta, Svetha Venkatesh
Scalable Backdoor Detection in Neural Networks. ECML/PKDD (2) (2020)
Sanga Chaki, Pranjal Doshi, Sourangshu Bhattacharya, Priyadarshi Patnaik
Explaining Perceived Emotion Predictions in Music: An Attentive Approach. ISMIR (2020)
Soumi Das, Rajath Nandan Kalava, Kolli Kiran Kumar, Akhil Kandregula, Kalpam Suhaas, Sourangshu Bhattacharya, Niloy Ganguly
Map Enhanced Route Travel Time Prediction using Deep Neural Networks. CoRR (2019)
Asis Roy, Sourangshu Bhattacharya, Kalyan Guin
A methodology for customizing clinical tests for esophageal cancer based on patient preferences. Artif. Intell. Medicine 95 (2019)
Vasudha Todi, Gunjan Sengupta, Sourangshu Bhattacharya
Probabilistic Path Planning using Obstacle Trajectory Prediction. COMAD/CODS (2019)
Pradumn Kumar Pandey, Sourangshu Bhattacharya, Niloy Ganguly
Non-link Preserving Network Embedding using Subspace Learning for Network Reconstruction. COMAD/CODS (2019)
Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti
Learning Linear Influence Models in Social Networks from Transient Opinion Dynamics. ACM Trans. Web 13 (3) (2019)
Praful P. Pai, Pradyut Kumar Sanki, Sudeep K. Sahoo, Arijit De, Sourangshu Bhattacharya, Swapna Banerjee
Cloud Computing-Based Non-Invasive Glucose Monitoring for Diabetic Care. IEEE Trans. Circuits Syst. I Regul. Pap. (2) (2018)
Chandan Misra, Sourangshu Bhattacharya, Soumya K. Ghosh
Stark: Fast and Scalable Strassen's Matrix Multiplication using Apache Spark. CoRR (2018)
Chandan Misra, Sourangshu Bhattacharya, Soumya K. Ghosh
SPIN: A Fast and Scalable Matrix Inversion Method in Apache Spark. CoRR (2018)
Chandan Misra, Swastik Haldar, Sourangshu Bhattacharya, Soumya K. Ghosh
SPIN: A Fast and Scalable Matrix Inversion Method in Apache Spark. ICDCN (2018)
Abir De, Sourangshu Bhattacharya, Niloy Ganguly
Demarcating Endogenous and Exogenous Opinion Diffusion Process on Social Networks. WWW (2018)
Abir De, Sourangshu Bhattacharya, Niloy Ganguly
Shaping Opinion Dynamics in Social Networks. AAMAS (2018)
Rijula Kar, Susmija Reddy, Sourangshu Bhattacharya, Anirban Dasgupta, Soumen Chakrabarti
Task-Specific Representation Learning for Web-Scale Entity Disambiguation. AAAI (2018)
Ayan Das, Raghuveer Chanda, Smriti Agrawal, Sourangshu Bhattacharya
Distributed Weighted Parameter Averaging for SVM Training on Big Data. AAAI Workshops (2017)
Sankarshan Mridha, Sayan Ghosh, Robin Singh, Sourangshu Bhattacharya, Niloy Ganguly
Mining Twitter and Taxi Data for Predicting Taxi Pickup Hotspots. ASONAM (2017)
Sanga Chaki, Sourangshu Bhattacharya, Raju Mullick, Priyadarshi Patnaik
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 (2017)
Sankarshan Mridha, Niloy Ganguly, Sourangshu Bhattacharya
Link Travel Time Prediction from Large Scale Endpoint Data. SIGSPATIAL/GIS (2017)
Manaar Alam, Sarani Bhattacharya, Debdeep Mukhopadhyay, Sourangshu Bhattacharya
Performance Counters to Rescue: A Machine Learning based safeguard against Micro-architectural Side-Channel-Attacks. IACR Cryptol. ePrint Arch. 2017 (2017)
Bhushan Kulkarni, Sumit Agarwal, Abir De, Sourangshu Bhattacharya, Niloy Ganguly
SLANT+: A Nonlinear Model for Opinion Dynamics in Social Networks. ICDM (2017)
Krunal Parmar, Samuel Bushi, Sourangshu Bhattacharya, Surender Kumar
Forecasting Ad-Impressions on Online Retail Websites using Non-homogeneous Hawkes Processes. CIKM (2017)
Asis Roy, Sourangshu Bhattacharya, Kalyan Guin
A Methodology for Customizing Clinical Tests for Esophageal Cancer based on Patient Preferences. CoRR (2016)
Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez
Learning and Forecasting Opinion Dynamics in Social Networks. NIPS (2016)
Abir De, Sourangshu Bhattacharya, Sourav Sarkar, Niloy Ganguly, Soumen Chakrabarti
Discriminative Link Prediction using Local, Community, and Global Signals. IEEE Trans. Knowl. Data Eng. 28 (8) (2016)
Ayan Das, Sourangshu Bhattacharya
Distributed Weighted Parameter Averaging for SVM Training on Big Data. CoRR (2015)
Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez
Modeling Opinion Dynamics in Diffusion Networks. CoRR (2015)
Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti
Learning a Linear Influence Model from Transient Opinion Dynamics. CIKM (2014)
Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish K. Shevade
Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators CoRR (2012)
Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish K. Shevade
Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators. UAI (2012)
Sriram Srinivasan, Sourangshu Bhattacharya, Rudrasis Chakraborty
Segmenting web-domains and hashtags using length specific models. CIKM (2012)
Sriram Srinivasan, Sourangshu Bhattacharya
Learning to tokenize web domains. WWW (Companion Volume) (2011)
Sahely Bhadra, Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Aharon Ben-Tal
Robust Formulations for Handling Uncertainty in Kernel Matrices. ICML (2010)
Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Nagasuma R. Chandra
Structural alignment based kernels for protein structure classification. ICML (2007)
Mehul Parsana, Sourangshu Bhattacharya, Chiru Bhattacharyya, K. R. Ramakrishnan
Kernels on Attributed Pointsets with Applications. NIPS (2007)
Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Nagasuma R. Chandra
Comparison of protein structures by growing neighborhood alignments. BMC Bioinform. 8 (2007)
Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Nagasuma R. Chandra
Projections for fast protein structure retrieval. BMC Bioinform. 7 (S-5) (2006)