A Novel Graph Based Clustering Approach to Document Topic Modeling. - Prateek Chanda; Asit Kumar Das (ICCCNT, 2018)

SunPy: A Python package for Solar Physics. - Stuart Mumford; Nabil Freij; Steven Christe; Jack Ireland; Florian Mayer; V. Keith Hughitt; Albert J. Shih; Daniel Ryan; Simon Liedtke; David Pérez-Suárez; Pritish Chakraborty; Vishnunarayan K; et al. (J. Open Source Softw., 2020)

MINDNOTES : A Mobile Platform to enable users to break stigma around mental health and connect with therapists. - Prateek Chanda; Amogh Wagh; Jemimah A. Johnson; Swaraj Renghe; Vageesh Chandramouli; George Mathews; Sapna Behar; Poornima Bhola; Girish N. Rao; Paulomi Sudhir; T. K. Srikanth; Amit Sharma 007; et al. (CSCW Companion, 2021)

Distributed Anomaly Detection in Edge Streams using Frequency based Sketch Datastructures. - Prateek Chanda; Malay Bhattacharya (CoRR, 2021)

A Sketch Based Game Theoretic Approach to Detect Anomalous Dense Sub-Communities in Large Data Streams. - Prateek Chanda; Aadirupa Saha (CoRR, 2021)

MDAP: Module Dependency based Anomaly Prediction. - Harsh Borse; Bikash Sahoo; Prateek Chanda; Soumik Sinha; Mainack Mondal; Bivas Mitra (Comput. Commun., 2023)

Few shot chain-of-thought driven reasoning to prompt LLMs for open-ended medical question answering. - Saeel Sandeep Nachane; Ojas Gramopadhye; Prateek Chanda; Ganesh Ramakrishnan; Kshitij Sharad Jadhav; Yatin Nandwani; Dinesh Raghu; Sachindra Joshi (EMNLP (Findings), 2024)

Bayesian Coreset Optimization for Personalized Federated Learning. - Prateek Chanda; Shrey Modi; Ganesh Ramakrishnan (ICLR, 2024)

Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning. - Nikhil Shivakumar Nayak; Krishnateja Killamsetty; Ligong Han; Abhishek Bhandwaldar; Prateek Chanda; Kai Xu 016; Hao Wang; Aldo Pareja; Oleg Silkin; Mustafa Eyceoz; Akash Srivastava (CoRR, 2025)

Early Exit and Multi Stage Knowledge Distillation in VLMs for Video Summarization. - Anas Anwarul Haq Khan; Utkarsh Verma; Prateek Chanda; Ganesh Ramakrishnan (CoRR, 2025)

FairPO: Robust Preference Optimization for Fair Multi-Label Learning. - Soumen Kumar Mondal; Akshit Varmora; Prateek Chanda; Ganesh Ramakrishnan (CoRR, 2025)

Learning What Matters: Probabilistic Task Selection via Mutual Information for Model Finetuning. - Prateek Chanda; Saral Sureka; Parth Pratim Chatterjee; Krishnateja Killamsetty; Nikhil Shivakumar Nayak; Ganesh Ramakrishnan (CoRR, 2025)

PARAM-1 BharatGen 2.9B Model. - Kundeshwar Pundalik; Piyush Sawarkar; Nihar Sahoo; Abhishek Shinde; Prateek Chanda; Vedant Goswami; Ajay Nagpal; Atul Singh; Viraj Thakur; Vijay Dewane; Aamod Thakur; Bhargav Patel; et al. (CoRR, 2025)