Learning Equations for Extrapolation and Control. - Subham S. Sahoo; Christoph H. Lampert; Georg Martius (ICML, 2018)

Scaling Symbolic Methods using Gradients for Neural Model Explanation. - Subham Sekhar Sahoo; Subhashini Venugopalan; Li Li 060; Rishabh Singh; Patrick Riley 001 (ICLR, 2021)

Gradient Backpropagation Through Combinatorial Algorithms: Identity with Projection Works. - Subham Sekhar Sahoo; Marin Vlastelica; Anselm Paulus; Vít Musil; Volodymyr Kuleshov; Georg Martius (CoRR, 2022)

Training Neural Networks using SAT solvers. - Subham S. Sahoo (CoRR, 2022)

Backpropagation through Combinatorial Algorithms: Identity with Projection Works. - Subham Sekhar Sahoo; Anselm Paulus; Marin Vlastelica; Vít Musil; Volodymyr Kuleshov; Georg Martius (ICLR, 2023)

Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows. - Phillip Si; Zeyi Chen; Subham Sekhar Sahoo; Yair Schiff; Volodymyr Kuleshov (ICML, 2023)

Simple and Effective Masked Diffusion Language Models. - Subham S. Sahoo; Marianne Arriola; Yair Schiff; Aaron Gokaslan; Edgar Marroquin; Justin T. Chiu; Alexander Rush; Volodymyr Kuleshov (NeurIPS, 2024)

Diffusion Models With Learned Adaptive Noise. - Subham S. Sahoo; Aaron Gokaslan; Christopher De Sa; Volodymyr Kuleshov (NeurIPS, 2024)

Simple and Effective Masked Diffusion Language Models. - Subham Sekhar Sahoo; Marianne Arriola; Yair Schiff; Aaron Gokaslan; Edgar Marroquin; Justin T. Chiu; Alexander M. Rush; Volodymyr Kuleshov (CoRR, 2024)

Simple Guidance Mechanisms for Discrete Diffusion Models. - Yair Schiff; Subham Sekhar Sahoo; Hao Phung; Guanghan Wang; Sam Boshar; Hugo Dalla-torre; Bernardo P. de Almeida; Alexander Rush; Thomas Pierrot; Volodymyr Kuleshov (CoRR, 2024)

Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models. - Marianne Arriola; Aaron Gokaslan; Justin T. Chiu; Zhihan Yang; Zhixuan Qi; Jiaqi Han; Subham Sekhar Sahoo; Volodymyr Kuleshov (ICLR, 2025)

Simple Guidance Mechanisms for Discrete Diffusion Models. - Yair Schiff; Subham Sekhar Sahoo; Hao Phung; Guanghan Wang; Sam Boshar; Hugo Dalla-torre; Bernardo P. de Almeida; Alexander M. Rush; Thomas Pierrot; Volodymyr Kuleshov (ICLR, 2025)

Remasking Discrete Diffusion Models with Inference-Time Scaling. - Guanghan Wang; Yair Schiff; Subham Sekhar Sahoo; Volodymyr Kuleshov (CoRR, 2025)

Esoteric Language Models. - Subham Sekhar Sahoo; Zhihan Yang; Yash Akhauri; Johnna Liu; Deepansha Singh; Zhoujun Cheng; Zhengzhong Liu 001; Eric Xing; John Thickstun; Arash Vahdat (CoRR, 2025)

The Diffusion Duality. - Subham Sekhar Sahoo; Justin Deschenaux; Aaron Gokaslan; Guanghan Wang; Justin T. Chiu; Volodymyr Kuleshov (CoRR, 2025)