Sahoo, Subham Sekhar

16 publications

ICLR 2025 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

NeurIPS 2025 Remasking Discrete Diffusion Models with Inference-Time Scaling Guanghan Wang, Yair Schiff, Subham Sekhar Sahoo, Volodymyr Kuleshov

ICLRW 2025 Remasking Discrete Diffusion Models with Inference-Time Scaling Guanghan Wang, Yair Schiff, 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

ICML 2025 The Diffusion Duality Subham Sekhar Sahoo, Justin Deschenaux, Aaron Gokaslan, Guanghan Wang, Justin T Chiu, Volodymyr Kuleshov

ICLRW 2025 The Diffusion Duality Subham Sekhar Sahoo, Justin Deschenaux, Aaron Gokaslan, Guanghan Wang, Justin T Chiu, Volodymyr Kuleshov

NeurIPS 2024 Diffusion Models with Learned Adaptive Noise Subham Sekhar Sahoo, Aaron Gokaslan, Chris De Sa, Volodymyr Kuleshov

NeurIPSW 2024 Diffusion Models with Learned Adaptive Noise Subham Sekhar Sahoo, Aaron Gokaslan, Christopher De Sa, Volodymyr Kuleshov

NeurIPSW 2024 Diffusion Models with Learned Adaptive Noise Processes Subham Sekhar 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 Rush, Volodymyr Kuleshov

ICMLW 2024 Simple and Effective Masked Diffusion Language Models Subham Sekhar Sahoo, Marianne Arriola, Aaron Gokaslan, Edgar Mariano Marroquin, Alexander M Rush, Yair Schiff, Justin T Chiu, Volodymyr Kuleshov

ICMLW 2024 Simple and Effective Masked Diffusion Language Models Subham Sekhar Sahoo, Marianne Arriola, Aaron Gokaslan, Edgar Mariano Marroquin, Alexander M Rush, Yair Schiff, Justin T Chiu, Volodymyr Kuleshov

NeurIPSW 2024 Simple and Effective Masked Diffusion Language Models Subham Sekhar Sahoo, Marianne Arriola, Aaron Gokaslan, Yair Schiff, Edgar Mariano Marroquin, Justin T Chiu, Alexander M Rush, Volodymyr Kuleshov

ICLR 2023 Backpropagation Through Combinatorial Algorithms: Identity with Projection Works Subham Sekhar Sahoo, Anselm Paulus, Marin Vlastelica, Vít Musil, Volodymyr Kuleshov, Georg Martius

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

ICLR 2021 Scaling Symbolic Methods Using Gradients for Neural Model Explanation Subham Sekhar Sahoo, Subhashini Venugopalan, Li Li, Rishabh Singh, Patrick Riley