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)

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)

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)

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

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

Gaussian Kernels Based Network for Multiple License Plate Number Detection in Day-Night Images. - Soumi Das; Palaiahnakote Shivakumara; Umapada Pal 001; Raghavendra Ramachandra (ICDAR (5), 2023)

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

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

Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction. - Qinyuan Wu; Mohammad Aflah Khan; Soumi Das; Vedant Nanda; Bishwamittra Ghosh; Camila Kolling; Till Speicher; Laurent Bindschaedler; Krishna P. Gummadi; Evimaria Terzi (CoRR, 2024)

Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications. - Till Speicher; Mohammad Aflah Khan; Qinyuan Wu; Vedant Nanda; Soumi Das; Bishwamittra Ghosh; Krishna P. Gummadi; Evimaria Terzi (CoRR, 2024)

Towards Reliable Latent Knowledge Estimation in LLMs: Zero-Prompt Many-Shot Based Factual Knowledge Extraction. - Qinyuan Wu; Mohammad Aflah Khan; Soumi Das; Vedant Nanda; Bishwamittra Ghosh; Camila Kolling; Till Speicher; Laurent Bindschaedler; Krishna P. Gummadi; Evimaria Terzi (WSDM, 2025)

Revisiting Privacy, Utility, and Efficiency Trade-offs when Fine-Tuning Large Language Models. - Soumi Das; Camila Kolling; Mohammad Aflah Khan; Mahsa Amani; Bishwamittra Ghosh; Qinyuan Wu; Till Speicher; Krishna P. Gummadi (CoRR, 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)

Rethinking Memorization Measures and their Implications in Large Language Models. - Bishwamittra Ghosh; Soumi Das; Qinyuan Wu; Mohammad Aflah Khan; Krishna P. Gummadi; Evimaria Terzi; Deepak Garg (CoRR, 2025)

Rote Learning Considered Useful: Generalizing over Memorized Data in LLMs. - Qinyuan Wu; Soumi Das; Mahsa Amani; Bishwamittra Ghosh; Mohammad Aflah Khan; Krishna P. Gummadi; Muhammad Bilal Zafar (CoRR, 2025)