Prateek Chanda

According to our database, Prateek Chanda authored at least 16 papers between 2018 and 2026.

Collaborative distances:

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

2026

UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees.

Prateek Chanda, Prayas Agrawal, Karthik S. Gurumoorthy, Ganesh Ramakrishnan, Bamdev Mishra, Pratik Jawanpuria

CoRR, April, 2026

interwhen: A Generalizable Framework for Verifiable Reasoning with Test-time Monitors.

Vishak K. Bhat, Prateek Chanda, Ashmit Khandelwal, Maitreyi Swaroop, Vineeth N. Balasubramanian, Subbarao Kambhampati, Nagarajan Natarajan, Amit Sharma

CoRR, February, 2026

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, Smita Gautam, Bhagwan Panditi, Shyam Pawar, Madhav Kotcha, Suraj Racha, Saral Sureka, Pankaj Singh, Rishi Bal, Rohit Saluja, Ganesh Ramakrishnan

CoRR, July, 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, July, 2025

FairPO: Robust Preference Optimization for Fair Multi-Label Learning.

Soumen Kumar Mondal, Akshit Varmora, Prateek Chanda, Ganesh Ramakrishnan

CoRR, May, 2025

Early Exit and Multi Stage Knowledge Distillation in VLMs for Video Summarization.

Anas Anwarul Haq Khan, Utkarsh Verma, Prateek Chanda, Ganesh Ramakrishnan

CoRR, April, 2025

Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning.

Nikhil Shivakumar Nayak, Krishnateja Killamsetty, Ligong Han, Abhishek Bhandwaldar, Prateek Chanda, Kai Xu, Hao Wang, Aldo Pareja, Oleg Silkin, Mustafa Eyceoz, Akash Srivastava

CoRR, April, 2025

Bandit Guided Submodular Curriculum for Adaptive Subset Selection.

Prateek Chanda, Prayas Agrawal, Saral Sureka, Lokesh Reddy Polu, Atharv Kshirsagar, Ganesh Ramakrishnan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Bayesian Coreset Optimization for Personalized Federated Learning.

Prateek Chanda, Shrey Modi, Ganesh Ramakrishnan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

MDAP: Module Dependency based Anomaly Prediction.

Harsh Borse, Bikash Sahoo, Prateek Chanda, Soumik Sinha, Mainack Mondal, Bivas Mitra

Comput. Commun., 2023

2021

A Sketch Based Game Theoretic Approach to Detect Anomalous Dense Sub-Communities in Large Data Streams.

Prateek Chanda, Aadirupa Saha

CoRR, 2021

Distributed Anomaly Detection in Edge Streams using Frequency based Sketch Datastructures.

Prateek Chanda, Malay Bhattacharya

CoRR, 2021

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, Seema Mehrotra

Proceedings of the Companion Publication of the 2021 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2021

2020

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, Andrew Inglis, Punyaslok Pattnaik, Brigitta M. Sipocz, Rishabh Sharma, Andrew Leonard, David Stansby, Russell J. Hewett, Alex Hamilton, Laura Hayes, Asish Panda, Matt Earnshaw, Nitin Choudhary, Ankit Kumar, Prateek Chanda, Md. Akramul Haque, Michael Kirk, Michael Mueller, Sudarshan Konge, Rajul Srivastava, Yash Jain, Samuel Bennett, Ankit Baruah, Will T. Barnes, Michael Charlton, Shane A. Maloney, Nicky Chorley, Himanshu, Sanskar Modi, James Mason, Jose Rozo, Larry Manley, Agneet Chatterjee, John Evans, Michael Malocha, Monica G. Bobra, Sourav Ghosh, Dominik Stanczak, Ruben De Visscher, Shresth Verma, Ankit Agrawal, Dumindu Buddhika, Swapnil Sharma, Jongyeob Park, Matt Bates, Dhruv Goel, Garrison Taylor, Goran Cetusic, Jacob, Mateo Inchaurrandieta, Sally Dacie, Sanjeev Dubey, Deepankar Sharma, Erik Bray, Jai Rideout, Serge Zahniy, Tomas Meszaros, Abhigyan Bose, André Chicrala, Ankit, Chloé Guennou, Daniel D'avella, Daniel Williams, Jordan Ballew, Nick Murphy, Priyank Lodha, Thomas Robitaille, Yash Krishan, Andrew Hill, Arthur Eigenbrot, Benjamin Mampaey, Bernhard Wiedemann, Carlos Molina, Duygu Keskek, Ishtyaq Habib, Joseph Letts, Juanjo Bazán, Quinn Arbolante, Reid Gomillion, Yash Kothari, Yash Sharma, Abigail Stevens, Adrian M. Price-Whelan, Ambar Mehrotra, Arseniy Kustov, Brandon Stone, Trung Dang, Emmanuel Arias, Fionnlagh Dover, Freek Verstringe, Gulshan Kumar, Harsh Mathur, Igor Babuschkin, Jaylen Wimbish, Juan Buitrago-Casas, Kalpesh Krishna, Kaustubh Hiware, Manas Mangaonkar, Matthew Mendero, Mickaël Schoentgen, Norbert Gyenge, Ole Streicher, Rajasekhar Mekala, Rishabh Mishra, Shashank Srikanth, Sarthak Jain, Tannmay Yadav, Tessa Wilkinson, Tiago Pereira, Yudhik Agrawal, Jamescalixto, Yasintoda, Sophie Murray

J. Open Source Softw., 2020

2018

A Novel Graph Based Clustering Approach to Document Topic Modeling.

Prateek Chanda, Asit Kumar Das

Proceedings of the 9th International Conference on Computing, 2018