Siddarth Venkatraman

17 papers A* 5Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Comedy of Estimators: On KL Regularization in RL Training of LLMs. CoRR Vedant Shah, Johan S. Obando-Ceron, Vineet Jain, Brian R. Bartoldson, Bhavya Kailkhura, Sarthak Mittal, Glen Berseth, Pablo Samuel Castro, Yoshua Bengio, Nikolay Malkin, Moksh Jain, Siddarth Venkatraman, Aaron C. Courville
2025	A*	`conf`	Outsourced Diffusion Sampling: Efficient Posterior Inference in Latent Spaces of Generative Models. ICML Siddarth Venkatraman, Mohsin Hasan, Minsu Kim, Luca Scimeca, Marcin Sendera, Yoshua Bengio, Glen Berseth, Nikolay Malkin
2025	J	`jnl`	Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models. CoRR Siddarth Venkatraman, Mohsin Hasan, Minsu Kim, Luca Scimeca, Marcin Sendera, Yoshua Bengio, Glen Berseth, Nikolay Malkin
2025	J	`jnl`	Recursive Self-Aggregation Unlocks Deep Thinking in Large Language Models. CoRR Siddarth Venkatraman, Vineet Jain, Sarthak Mittal, Vedant Shah, Johan S. Obando-Ceron, Yoshua Bengio, Brian R. Bartoldson, Bhavya Kailkhura, Guillaume Lajoie, Glen Berseth, Nikolay Malkin, Moksh Jain
2025	J	`jnl`	Solving Bayesian inverse problems with diffusion priors and off-policy RL. CoRR Luca Scimeca, Siddarth Venkatraman, Moksh Jain, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yashar Hezaveh, Laurence Perreault Levasseur, Yoshua Bengio, Glen Berseth, Nikolay Malkin
2025	J	`jnl`	Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training. CoRR Brian R. Bartoldson, Siddarth Venkatraman, James Diffenderfer, Moksh Jain, Tal Ben-Nun, Seanie Lee, Minsu Kim, Johan S. Obando-Ceron, Yoshua Bengio, Bhavya Kailkhura
2024	A*	`conf`	Amortizing intractable inference in diffusion models for vision, language, and control. NeurIPS Siddarth Venkatraman, Moksh Jain, Luca Scimeca, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yoshua Bengio, Glen Berseth, Nikolay Malkin
2024	J	`jnl`	Amortizing intractable inference in diffusion models for vision, language, and control. CoRR Siddarth Venkatraman, Moksh Jain, Luca Scimeca, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yoshua Bengio, Glen Berseth, Nikolay Malkin
2024	A*	`conf`	Reasoning with Latent Diffusion in Offline Reinforcement Learning. ICLR Siddarth Venkatraman, Shivesh Khaitan, Ravi Tej Akella, John M. Dolan, Jeff Schneider, Glen Berseth
2023	A*	`conf`	Learning Temporally AbstractWorld Models without Online Experimentation. ICML Benjamin Freed, Siddarth Venkatraman, Guillaume Adrien Sartoretti, Jeff Schneider, Howie Choset
2023	A*	`conf`	Multi-Alpha Soft Actor-Critic: Overcoming Stochastic Biases in Maximum Entropy Reinforcement Learning. ICRA Conor Igoe, Swapnil Pande, Siddarth Venkatraman, Jeff G. Schneider
2023	J	`jnl`	Reasoning with Latent Diffusion in Offline Reinforcement Learning. CoRR Siddarth Venkatraman, Shivesh Khaitan, Ravi Tej Akella, John M. Dolan, Jeff G. Schneider, Glen Berseth
2022	J	`jnl`	MLNav: Learning to Safely Navigate on Martian Terrains. CoRR Shreyansh Daftry, Neil Abcouwer, Tyler del Sesto, Siddarth Venkatraman, Jialin Song, Lucas Igel, Amos Byon, Ugo Rosolia, Yisong Yue, Masahiro Ono
2022	J	`jnl`	MLNav: Learning to Safely Navigate on Martian Terrains. IEEE Robotics Autom. Lett. Shreyansh Daftry, Neil Abcouwer, Tyler del Sesto, Siddarth Venkatraman, Jialin Song, Lucas Igel, Amos Byon, Ugo Rosolia, Yisong Yue, Masahiro Ono
2020	—	`conf`	Deep Residual Neural Networks for Image in Audio Steganography (Workshop Paper). BigMM Shivam Agarwal, Siddarth Venkatraman
2020	J	`jnl`	Deep Residual Neural Networks for Image in Speech Steganography. CoRR Shivam Agarwal, Siddarth Venkatraman
2020	J	`jnl`	Machine Learning Based Path Planning for Improved Rover Navigation (Pre-Print Version). CoRR Neil Abcouwer, Shreyansh Daftry, Siddarth Venkatraman, Tyler del Sesto, Olivier Toupet, Ravi Lanka, Jialin Song, Yisong Yue, Masahiro Ono