Prateek Chanda

17 papers A* 1Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	interwhen: A Generalizable Framework for Verifiable Reasoning with Test-time Monitors. CoRR Vishak K. Bhat, Prateek Chanda, Ashmit Khandelwal, Maitreyi Swaroop, Vineeth N. Balasubramanian, Subbarao Kambhampati, Nagarajan Natarajan, Amit Sharma
2025	J	`jnl`	Bandit Guided Submodular Curriculum for Adaptive Subset Selection. CoRR Prateek Chanda, Prayas Agrawal, Saral Sureka, Lokesh Reddy Polu, Atharv Kshirsagar, Ganesh Ramakrishnan
2025	J	`jnl`	Bayesian Coreset Optimization for Personalized Federated Learning. CoRR Prateek Chanda, Shrey Modi, Ganesh Ramakrishnan
2025	J	`jnl`	Early Exit and Multi Stage Knowledge Distillation in VLMs for Video Summarization. CoRR Anas Anwarul Haq Khan, Utkarsh Verma, Prateek Chanda, Ganesh Ramakrishnan
2025	J	`jnl`	FairPO: Robust Preference Optimization for Fair Multi-Label Learning. CoRR Soumen Kumar Mondal, Akshit Varmora, Prateek Chanda, Ganesh Ramakrishnan
2025	J	`jnl`	Learning What Matters: Probabilistic Task Selection via Mutual Information for Model Finetuning. CoRR Prateek Chanda, Saral Sureka, Parth Pratim Chatterjee, Krishnateja Killamsetty, Nikhil Shivakumar Nayak, Ganesh Ramakrishnan
2025	J	`jnl`	PARAM-1 BharatGen 2.9B Model. CoRR 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
2025	J	`jnl`	Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning. CoRR Nikhil Shivakumar Nayak, Krishnateja Killamsetty, Ligong Han, Abhishek Bhandwaldar, Prateek Chanda, Kai Xu, Hao Wang, Aldo Pareja, Oleg Silkin, Mustafa Eyceoz, Akash Srivastava
2024	A*	`conf`	Bayesian Coreset Optimization for Personalized Federated Learning. ICLR Prateek Chanda, Shrey Modi, Ganesh Ramakrishnan
2024	J	`jnl`	Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answering. CoRR Ojas Gramopadhye, Saeel Sandeep Nachane, Prateek Chanda, Ganesh Ramakrishnan, Kshitij Sharad Jadhav, Yatin Nandwani, Dinesh Raghu, Sachindra Joshi
2024	—	`conf`	Few shot chain-of-thought driven reasoning to prompt LLMs for open-ended medical question answering. EMNLP (Findings) Saeel Sandeep Nachane, Ojas Gramopadhye, Prateek Chanda, Ganesh Ramakrishnan, Kshitij Sharad Jadhav, Yatin Nandwani, Dinesh Raghu, Sachindra Joshi
2023	J	`jnl`	MDAP: Module Dependency based Anomaly Prediction. Comput. Commun. Harsh Borse, Bikash Sahoo, Prateek Chanda, Soumik Sinha, Mainack Mondal, Bivas Mitra
2021	J	`jnl`	A Sketch Based Game Theoretic Approach to Detect Anomalous Dense Sub-Communities in Large Data Streams. CoRR Prateek Chanda, Aadirupa Saha
2021	J	`jnl`	Distributed Anomaly Detection in Edge Streams using Frequency based Sketch Datastructures. CoRR Prateek Chanda, Malay Bhattacharya
2021	—	`conf`	MINDNOTES : A Mobile Platform to enable users to break stigma around mental health and connect with therapists. CSCW Companion 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
2020	J	`jnl`	SunPy: A Python package for Solar Physics. J. Open Source Softw. 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
2018	—	`conf`	A Novel Graph Based Clustering Approach to Document Topic Modeling. ICCCNT Prateek Chanda, Asit Kumar Das