Subramanian, Jayakumar

9 publications

ICLR 2025 Measuring and Improving Engagement of Text-to-Image Generation Models Varun Khurana, Yaman Kumar Singla, Jayakumar Subramanian, Changyou Chen, Rajiv Ratn Shah, Zhiqiang Xu, Balaji Krishnamurthy

NeurIPS 2025 Offline RL by Reward-Weighted Fine-Tuning for Conversation Optimization Subhojyoti Mukherjee, Viet Dac Lai, Raghavendra Addanki, Ryan A. Rossi, Seunghyun Yoon, Trung Bui, Anup Rao, Jayakumar Subramanian, Branislav Kveton

NeurIPSW 2023 AgentTorch: Agent-Based Modeling with Automatic Differentiation Ayush Chopra, Jayakumar Subramanian, Balaji Krishnamurthy, Ramesh Raskar

ICLR 2023 Explaining RL Decisions with Trajectories Shripad Vilasrao Deshmukh, Arpan Dasgupta, Balaji Krishnamurthy, Nan Jiang, Chirag Agarwal, Georgios Theocharous, Jayakumar Subramanian

JMLR 2022 Approximate Information State for Approximate Planning and Reinforcement Learning in Partially Observed Systems Jayakumar Subramanian, Amit Sinha, Raihan Seraj, Aditya Mahajan

ICMLW 2022 Differentiable Agent-Based Epidemiological Modeling for End-to-End Learning Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar

NeurIPSW 2022 Trajectory-Based Explainability Framework for Offline RL Shripad Vilasrao Deshmukh, Arpan Dasgupta, Chirag Agarwal, Nan Jiang, Balaji Krishnamurthy, Georgios Theocharous, Jayakumar Subramanian

NeurIPS 2021 Medical Dead-Ends and Learning to Identify High-Risk States and Treatments Mehdi Fatemi, Taylor W Killian, Jayakumar Subramanian, Marzyeh Ghassemi

NeurIPSW 2021 Status-Quo Policy Gradient in Multi-Agent Reinforcement Learning Pinkesh Badjatiya, Mausoom Sarkar, Nikaash Puri, Jayakumar Subramanian, Abhishek Sinha, Siddharth Singh, Balaji Krishnamurthy