Siddarth Venkatraman

According to our database, Siddarth Venkatraman authored at least 11 papers between 2020 and 2025.

Collaborative distances:

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

2025

Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training.

Brian R. Bartoldson, Siddarth Venkatraman, James Diffenderfer, Moksh Jain, Tal Ben-Nun, Seanie Lee, Minsu Kim, Johan S. Obando-Ceron, Yoshua Bengio, Bhavya Kailkhura

CoRR, March, 2025

Solving Bayesian inverse problems with diffusion priors and off-policy RL.

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

CoRR, March, 2025

Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models.

Siddarth Venkatraman, Mohsin Hasan, Minsu Kim, Luca Scimeca, Marcin Sendera, Yoshua Bengio, Glen Berseth, Nikolay Malkin

CoRR, February, 2025

2024

Amortizing intractable inference in diffusion models for vision, language, and control.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Reasoning with Latent Diffusion in Offline Reinforcement Learning.

Siddarth Venkatraman, Shivesh Khaitan, Ravi Tej Akella, John M. Dolan, Jeff Schneider, Glen Berseth

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Multi-Alpha Soft Actor-Critic: Overcoming Stochastic Biases in Maximum Entropy Reinforcement Learning.

Conor Igoe, Swapnil Pande, Siddarth Venkatraman, Jeff G. Schneider

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Learning Temporally AbstractWorld Models without Online Experimentation.

Benjamin Freed, Siddarth Venkatraman, Guillaume Adrien Sartoretti, Jeff Schneider, Howie Choset

Proceedings of the International Conference on Machine Learning, 2023

2022

MLNav: Learning to Safely Navigate on Martian Terrains.

Shreyansh Daftry, Neil Abcouwer, Tyler del Sesto, Siddarth Venkatraman, Jialin Song, Lucas Igel, Amos Byon, Ugo Rosolia, Yisong Yue, Masahiro Ono

IEEE Robotics Autom. Lett., 2022

2020

Machine Learning Based Path Planning for Improved Rover Navigation (Pre-Print Version).

Neil Abcouwer, Shreyansh Daftry, Siddarth Venkatraman, Tyler del Sesto, Olivier Toupet, Ravi Lanka, Jialin Song, Yisong Yue, Masahiro Ono

CoRR, 2020

Deep Residual Neural Networks for Image in Speech Steganography.

Shivam Agarwal, Siddarth Venkatraman

CoRR, 2020

Deep Residual Neural Networks for Image in Audio Steganography (Workshop Paper).

Shivam Agarwal, Siddarth Venkatraman

Proceedings of the 6th IEEE International Conference on Multimedia Big Data, 2020