Sourangshu Bhattacharya

According to our database, Sourangshu Bhattacharya authored at least 58 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

2023

Offsetting Unequal Competition Through RL-Assisted Incentive Schemes.

Paramita Koley, Aurghya Maiti, Sourangshu Bhattacharya, Niloy Ganguly

IEEE Trans. Comput. Soc. Syst., February, 2023

In-Context Ability Transfer for Question Decomposition in Complex QA.

Venktesh V, Sourangshu Bhattacharya, Avishek Anand

CoRR, 2023

LearnDefend: Learning to Defend against Targeted Model-Poisoning Attacks on Federated Learning.

Kiran Purohit, Soumi Das, Sourangshu Bhattacharya, Santu Rana

CoRR, 2023

Opponent-aware Role-based Learning in Team Competitive Markov Games.

Paramita Koley, Aurghya Maiti, Niloy Ganguly, Sourangshu Bhattacharya

CoRR, 2023

Differentiable Change-point Detection With Temporal Point Processes.

Paramita Koley, Harshavardhan Alimi, Shrey Singla, Sourangshu Bhattacharya, Niloy Ganguly, Abir De

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

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

Stark: Fast and Scalable Strassen's Matrix Multiplication Using Apache Spark.

Chandan Misra, Sourangshu Bhattacharya, Soumya K. Ghosh

IEEE Trans. Big Data, 2022

CheckSel: Efficient and Accurate Data-valuation Through Online Checkpoint Selection.

Soumi Das, Manasvi Sagarkar, Suparna Bhattacharya, Sourangshu Bhattacharya

CoRR, 2022

AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanations.

Sk Mainul Islam, Sourangshu Bhattacharya

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 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, Niloy Ganguly

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Accurate and Efficient Channel pruning via Orthogonal Matching Pursuit.

Kiran Purohit, Anurag Parvathgari, Soumi Das, Sourangshu Bhattacharya

Proceedings of the Second International Conference on AI-ML Systems, 2022

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

Scalable End-to-End Training of Knowledge Graph-Enhanced Aspect Embedding for Aspect Level Sentiment Analysis.

Sk Mainul Islam, Sourangshu Bhattacharya

CoRR, 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

Finding High-Value Training Data Subset Through Differentiable Convex Programming.

Soumi Das, Arshdeep Singh, Saptarshi Chatterjee, Suparna Bhattacharya, Sourangshu Bhattacharya

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning Temporal Point Processes with Intermittent Observations.

Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

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

A fast scalable distributed kriging algorithm using Spark framework.

Chandan Misra, Sourangshu Bhattacharya, Soumya K. Ghosh

Int. J. Data Sci. Anal., 2020

Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews.

Rajdeep Mukherjee, Hari Chandana Peruri, Uppada Vishnu, Pawan Goyal, Sourangshu Bhattacharya, Niloy Ganguly

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Scalable Backdoor Detection in Neural Networks.

Haripriya Harikumar, Vuong Le, Santu Rana, Sourangshu Bhattacharya, Sunil Gupta, Svetha Venkatesh

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Explaining Perceived Emotion Predictions in Music: An Attentive Approach.

Sanga Chaki, Pranjal Doshi, Sourangshu Bhattacharya, Priyadarshi Patnaik

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

An Optimized Distributed Recursive Matrix Multiplication for Arbitrary Sized Matrices.

Utkarsh Parasrampuria, Chandan Misra, Sourangshu Bhattacharya

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

On Distributed Solution for Simultaneous Linear Symmetric Systems.

Chandan Misra, Utkarsh Parasrampuria, Sourangshu Bhattacharya, Soumya K. Ghosh

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Attentive RNNs for Continuous-time Emotion Prediction in Music Clips.

Sanga Chaki, Pranjal Doshi, Priyadarshi Patnaik, Sourangshu Bhattacharya

Proceedings of the 3rd Workshop on Affective Content Analysis (AffCon 2020) co-located with Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2020

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

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

A methodology for customizing clinical tests for esophageal cancer based on patient preferences.

Asis Roy, Sourangshu Bhattacharya, Kalyan Guin

Artif. Intell. Medicine, 2019

Probabilistic Path Planning using Obstacle Trajectory Prediction.

Vasudha Todi, Gunjan Sengupta, Sourangshu Bhattacharya

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

Non-link Preserving Network Embedding using Subspace Learning for Network Reconstruction.

Pradumn Kumar Pandey, Sourangshu Bhattacharya, Niloy Ganguly

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

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

SPIN: A Fast and Scalable Matrix Inversion Method in Apache Spark.

Chandan Misra, Sourangshu Bhattacharya, Soumya K. Ghosh

CoRR, 2018

Demarcating Endogenous and Exogenous Opinion Diffusion Process on Social Networks.

Abir De, Sourangshu Bhattacharya, Niloy Ganguly

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

SPIN: A Fast and Scalable Matrix Inversion Method in Apache Spark.

Chandan Misra, Swastik Haldar, Sourangshu Bhattacharya, Soumya K. Ghosh

Proceedings of the 19th International Conference on Distributed Computing and Networking, 2018

Shaping Opinion Dynamics in Social Networks.

Abir De, Sourangshu Bhattacharya, Niloy Ganguly

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Task-Specific Representation Learning for Web-Scale Entity Disambiguation.

Rijula Kar, Susmija Reddy, Sourangshu Bhattacharya, Anirban Dasgupta, Soumen Chakrabarti

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

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

SLANT+: A Nonlinear Model for Opinion Dynamics in Social Networks.

Bhushan Kulkarni, Sumit Agarwal, Abir De, Sourangshu Bhattacharya, Niloy Ganguly

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Link Travel Time Prediction from Large Scale Endpoint Data.

Sankarshan Mridha, Niloy Ganguly, Sourangshu Bhattacharya

Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 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

Proceedings of the Music Technology with Swing - 13th International Symposium, 2017

Forecasting Ad-Impressions on Online Retail Websites using Non-homogeneous Hawkes Processes.

Krunal Parmar, Samuel Bushi, Sourangshu Bhattacharya, Surender Kumar

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Mining Twitter and Taxi Data for Predicting Taxi Pickup Hotspots.

Sankarshan Mridha, Sayan Ghosh, Robin Singh, Sourangshu Bhattacharya, Niloy Ganguly

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

Distributed Weighted Parameter Averaging for SVM Training on Big Data.

Ayan Das, Raghuveer Chanda, Smriti Agrawal, Sourangshu Bhattacharya

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

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

Learning and Forecasting Opinion Dynamics in Social Networks.

Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Modeling Opinion Dynamics in Diffusion Networks.

Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez

CoRR, 2015

Distributed Weighted Parameter Averaging for SVM Training on Big Data.

Ayan Das, Sourangshu Bhattacharya

CoRR, 2015

2014

Learning a Linear Influence Model from Transient Opinion Dynamics.

Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2012

Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators.

Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish K. Shevade

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Segmenting web-domains and hashtags using length specific models.

Sriram Srinivasan, Sourangshu Bhattacharya, Rudrasis Chakraborty

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Learning to tokenize web domains.

Sriram Srinivasan, Sourangshu Bhattacharya

Proceedings of the 20th International Conference on World Wide Web, 2011

2010

Robust Formulations for Handling Uncertainty in Kernel Matrices.

Sahely Bhadra, Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Aharon Ben-Tal

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2007

Comparison of protein structures by growing neighborhood alignments.

Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Nagasuma R. Chandra

BMC Bioinform., 2007

Kernels on Attributed Pointsets with Applications.

Mehul Parsana, Sourangshu Bhattacharya, Chiru Bhattacharyya, K. R. Ramakrishnan

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Structural alignment based kernels for protein structure classification.

Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Nagasuma R. Chandra

Proceedings of the Machine Learning, 2007

2006

Projections for fast protein structure retrieval.

Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Nagasuma R. Chandra

BMC Bioinform., 2006