Deep Residual Neural Networks for Image in Audio Steganography (Workshop Paper). - Shivam Agarwal; Siddarth Venkatraman (BigMM, 2020)

Deep Residual Neural Networks for Image in Speech Steganography. - Shivam Agarwal; Siddarth Venkatraman (CoRR, 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)

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)

Learning Temporally AbstractWorld Models without Online Experimentation. - Benjamin Freed; Siddarth Venkatraman; Guillaume Adrien Sartoretti; Jeff Schneider 001; Howie Choset (ICML, 2023)

Multi-Alpha Soft Actor-Critic: Overcoming Stochastic Biases in Maximum Entropy Reinforcement Learning. - Conor Igoe; Swapnil Pande; Siddarth Venkatraman; Jeff G. Schneider (ICRA, 2023)

Reasoning with Latent Diffusion in Offline Reinforcement Learning. - Siddarth Venkatraman; Shivesh Khaitan; Ravi Tej Akella; John M. Dolan; Jeff Schneider 001; Glen Berseth (ICLR, 2024)

Amortizing intractable inference in diffusion models for vision, language, and control. - Siddarth Venkatraman; Moksh Jain; Luca Scimeca; Minsu Kim 004; Marcin Sendera; Mohsin Hasan; Luke Rowe; Sarthak Mittal; Pablo Lemos; Emmanuel Bengio; Alexandre Adam; Jarrid Rector-Brooks; et al. (NeurIPS, 2024)

Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models. - Siddarth Venkatraman; Mohsin Hasan; Minsu Kim 004; Luca Scimeca; Marcin Sendera; Yoshua Bengio; Glen Berseth; Nikolay Malkin (CoRR, 2025)

Solving Bayesian inverse problems with diffusion priors and off-policy RL. - Luca Scimeca; Siddarth Venkatraman; Moksh Jain; Minsu Kim 004; Marcin Sendera; Mohsin Hasan; Luke Rowe; Sarthak Mittal; Pablo Lemos; Emmanuel Bengio; Alexandre Adam; Jarrid Rector-Brooks; et al. (CoRR, 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 004; Johan S. Obando-Ceron; Yoshua Bengio; Bhavya Kailkhura (CoRR, 2025)