Latest Preprints
- LearnDefend: Learning to Defend against Targeted Model-Poisoning Attacks on Federated Learning.
Kiran Purohit, Soumi Das, Sourangshu Bhattacharya, and Santu Rana. at https://arxiv.org/abs/2305.02022 - CheckSel: Efficient and Accurate Data-valuation Through Online Checkpoint Selection Soumi Das, Manasvi Sagarkar, Suparna Bhattacharya, Sourangshu Bhattacharya arXiv preprint arXiv:2203.06814 2022 Link
Peer-reviewed Conferences and Journals
- Differentiable Change-point Detection With Temporal Point Processes Paramita Koley, Harshavardhan Alimi, Shrey Singla, Sourangshu Bhattacharya, Niloy Ganguly, Abir De. Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6940-6955, 2023 Link
- Accurate and Efficient Channel pruning via Orthogonal Matching Pursuit. Kiran Purohit, Anurag Parvathgari, Soumi Das, and Sourangshu Bhattacharya. In Proceedings of the Second International Conference on AI-ML Systems, pp. 1-8. 2022. Link
- AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanations. Sk Mainul Islam and Sourangshu Bhattacharya. TheWebConf 2022 Link Code Link
- Offsetting Unequal Competition Through RL-Assisted Incentive Schemes Paramita Koley, Aurghya Maiti, Sourangshu Bhattacharya, Niloy Ganguly IEEE Transactions on Computational Social Systems 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. WSDM 2022
- PASTE: A Tagging-free Decoding Framework using
Pointer Networks for Aspect Sentiment Triplet
Extraction. Rajdeep Mukherjee, Tapas Nayak, Yash
Butala, Sourangshu Bhattacharya and Pawan Goyal. EMNLP
2021.
- TMCOSS: Thresholded Multi-Criteria Online Subset
Selection for Data-Efficient Autonomous Driving.
Soumi Das, Harikrishna Patibandla, Suparna Bhattacharya,
Kshounis Bera, Niloy Ganguly, and Sourangshu Bhattacharya.
ICCV 2021. Paper link
- Finding High-Value Training Data Subset through Differentiable Convex Programming. Soumi Das, Arshdeep Singh, Saptarshi Chatterjee, Suparna Bhattacharya, and Sourangshu Bhattacharya. ECML 2021. Link
- Learning Cross-Task Attribute - Attribute Similarity
for Multi-task Attribute-Value Extraction. Mayank
Jain, Sourangshu Bhattacharya, Harshit Jain, Karimulla
Shaik and Muthusamy Chelliah. ECNLP workshop ACL 2021.
- Demarcating Endogenous and Exogenous Opinion
Dynamics: An Experimental Design Approach. Paramita
Koley, Avirup Saha, Sourangshu Bhattacharya, Niloy Ganguly
and Abir De. ACM Transactions on Knowledge
Discovery from Data TKDD. (accepted)
- Learning Temporal Point Processes with Intermittent
Observations. Vinayak Gupta, Srikanta Bedathur,
Sourangshu Bhattacharya, Abir De. International
Conference on Artificial Intelligence and Statistics
(AISTATS) 2021.
- An Optimized Distributed Recursive Matrix
Multiplication for Arbitrary Sized Matrices. Utkarsh
Parasrampuria, Chandan Misra, and Sourangshu
Bhattacharya. IEEE International Conference on
Big Data, 2020. (poster)
- On Distributed Solution for Simultaneous Linear Symmetric Systems. Chandan Misra, Utkarsh Parasarampuria, Sourangshu Bhattacharya, and Soumya K. Ghosh. IEEE International Conference on Big Data, 2020. (poster)
- Scalable Backdoor Detection in Neural Networks.
Haripriya Harikumar, Vuong Le, Santu Rana, Sourangshu
Bhattacharya, Sunil Gupta and Svetha Venkatesh. ECML
2020.
Link - Explaining Perceived Emotion Predictions in Music: An Attentive Approach Sanga Chaki, Pranjal Doshi, Sourangshu Bhattacharya, Priyadarshi Patnaik. International Symposium on Music Information Retrieval, 2020. (paper)
- A fast and scalable distributed kriging algorithm
using Spark framework. Chandan Misra, Sourangshu
Bhattacharya, and Soumya K. Ghosh. International
Journal of Data Science and Analytics (2020), Springer.
Link - Read what you need: Controllable Aspect-based
Opinion Summarization of Tourist Reviews Rajdeep
Mukherjee, Hari Chandana Peruri, Uppada Vishnu, Pawan
Goyal, Sourangshu Bhattacharya and Niloy Ganguly. ACM
SIGIR 2020 (Short paper)
Link - Multi-criteria online Frame-subset Selection for
Autonomous Vehicle Videos Soumi Das, Sayan Mandal,
Ashwin Bhoyar, Madhumita Bharde, Niloy Ganguly, Suparna
Bhattacharya, and Sourangshu Bhattacharya. Pattern
Recognition Letters (2020)
Link - Stark: Fast and Scalable Strassen's Matrix
Multiplication using Apache Spark Chandan Misra,
Sourangshu Bhattacharya, and Soumya K. Ghosh. IEEE
Transactions on Big Data (2020)
Link - Learning Linear Influence Models in Social Networks
from Transient Opinion Dynamics Abir De,
Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy
Ganguly, and Soumen Chakrabarti. ACM Transactions on
the Web (TWEB) 13, no. 3 (2019): 1-33.
Link - Probabilistic Path Planning using Obstacle
Trajectory Prediction Vasudha Todi, Gunjan
Sengupta and Sourangshu Bhattacharya ACM India Joint
International Conference on Data Science and
Management of Data (CoDS-COMAD) 2019
Link - Non-link Preserving Network Embedding using Subspace
Learning for Network Reconstruction Pradumn Kumar
Pandey, Sourangshu Bhattacharya and Niloy Ganguly ACM India Joint
International Conference on Data Science and
Management of Data (CoDS-COMAD) 2019
Link - Shaping Opinion Dynamics in Social Networks
Abir De, Sourangshu Bhattacharya, Niloy Ganguly
International Conference on Autonomous Agents and
Multiagent Systems (AAMAS) 2018
Link - Demarcating Endogenous and Exogenous Opinion
Diffusion Process on Social Networks Abir De,
Sourangshu Bhattacharya, Niloy Ganguly The Web
Conference 2018 (WWW 2018)
Link - Task-Specific Representation Learning for Web-scale
Entity Disambiguation. Rijula Kar, Susmija Reddy,
Sourangshu Bhattacharya, Anirban Dasgupta, Soumen
Chakrabarti AAAI
Conference on Artificial Intelligence (AAAI-18)
pdf
Link - SPIN: A Fast and Scalable Matrix Inversion Method in
Apache Spark. Chandan Misra, Swastik Haldar,
Sourangshu Bhattacharya, Soumya K. Ghosh. International
Conference on Distributed Computing and Networking
(ICDCN) 2018
Link - Forecasting Ad-Impressions on Online Retail Websites
using Non-homogeneous Hawkes Processes Krunal
Parmar, Samuel Bushi, Sourangshu Bhattacharya, and
Surender Kumar CIKM
2017
Link - SLANT+: A Nonlinear Model for Opinion Dynamics in
Social Networks Bhushan Kulkarni, Sumit Agarwal,
Abir De, Sourangshu Bhattacharya, and Niloy Ganguly ICDM 2017
(Short paper)
Link - Link Travel Time Prediction and Route Recommendation
from Large Scale Endpoint Data, Sankarshan Mridha,
Niloy Ganguly and Sourangshu Bhattacharya. ACM
SIGSPATIAL 2017 . (Short paper)
Link - Mining Twitter and Taxi Data for Predicting Taxi
Pickup Hotspots Sankarshan Mridha, Sayan Ghosh,
Robin Singh, Sourangshu Bhattacharya and Niloy Ganguly
ASONAM
2017 . (Short paper)
Link - Cloud Computing-Based Non-Invasive Glucose
Monitoring for Diabetic Care PP Pai, PK Sanki, SK
Sahoo, A De, S Bhattacharya, S Banerjee
IEEE Transactions on Circuits and Systems I: Regular papers, 2017 . - Distributed Weighted Parameter Averaging for SVM
Training on Big Data Ayan Das, Raghuveer Chanda,
Smriti Agrawal and Sourangshu Bhattacharya AAAI
2017 Workshop on Distributed Machine Learning .
pdf
Link - Learning and Forecasting Opinion Dynamics in Social
Networks. Abir De, Isabel Valera, Niloy Ganguly,
Sourangshu Bhattacharya and Manuel Gomez Rodriguez
Annual Conference on Neural Information Processing
Systems (NIPS) 2016.
Link - Discriminative Link Prediction using Local,
Community, and Global Signals. Abir De, Sourangshu
Bhattacharya, Sourav Sarkar, Niloy Ganguly, and Soumen
Chakrabarti IEEE Transactions On Knowledge And Data
Engineering (TKDE), Vol. 28, No. 8, August 2016.
Link - Regularized least squares regression for
calibration of a photoacoustic spectroscopy based
non-invasive glucose monitoring system Praful P
Pai, Sourangshu Bhattacharya, Swapna Banerjee IEEE
International Ultrasonics Symposium (IUS), 2015
Link - Learning a Linear Influence Model from Transient
Opinion Dynamics. Abir De, Sourangshu Bhattacharya,
Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti.
ACM International Conference on Information and
Knowledge Management (CIKM), 2014.
Link - Segmenting Web-Domains and Hashtags using Length
Specific Models. Sriram Srinivasan, Sourangshu
Bhattacharya, Rudrasis Chakraborty. ACM International
Conference on Information and Knowledge Management
(CIKM), 2012.
Link - Mechanism Design for Cost Optimal PAC Learning in
the Presence of Strategic Noisy Annotators. Dinesh
Garg, Sourangshu Bhattacharya, Sundararajan Sellamanickam,
Shirish Shevade. Conference on Uncertainty in
Artificial Intelligence (UAI), 2012.
PDF - Robust Formulations for Handling Uncertainty in
Kernel Matrices. Sahely Bhadra, Sourangshu
Bhattacharya, Chiranjib Bhattacharyya, Aharon Ben-Tal. International
Conference on Machine Learning (ICML), 2010.
PDF - Kernels on Attributed Pointsets with Applications.
Mehul Parsana, Sourangshu Bhattacharya, Chiranjib
Bhattacharya, K. R. Ramakrishnan. Neural Information
Processing Systems (NIPS), 2007.
PDF - Structural Alignment based Kernels for Protein
Structure Classification. Sourangshu Bhattacharya,
Chiranjib Bhattacharyya and Nagasuma R Chandra. International
Conference on Machine Learning (ICML), 2007.
Link - Comparison of protein structures by growing
neighborhood alignments. Sourangshu Bhattacharya,
Chiranjib Bhattacharyya and Nagasuma R Chandra. BMC
Bioinformatics. 2007 Mar 6;8:77.
Link - Projections for fast protein structure retrieval.
Sourangshu Bhattacharya, Chiranjib Bhattacharyya and
Nagasuma R. Chandra. BMC Bioinformatics. 2006 Dec 18;7
Suppl 5:S5.
Link
Book Chapters
- Kernels on Protein Structures. Sourangshu Bhattacharya, Chiranjib Bhattacharyya, and Nagasuma R. Chandra. In Computational Intelligence and Pattern Analysis in Biology Informatics, John Wiley & Sons, Inc., New York, USA. Link
Peer-reviewed Posters and Workshop Papers
- Learning to tokenize web domains. Sriram Srinivasan, Sourangshu Bhattacharya. International Conference on World Wide Web, WWW 2011 (poster).
- Budgeted PAC Learning with Two Noisy Annotators. Dinesh Garg, Sundararajan Sellamanickam, Sourangshu Bhattacharya, Shirish Shevade. Budgeted Learning Workshop, ICML 2010.