Subham Sekhar Sahoo

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Diffusion Model

Levenberg Marquardt

Top Venues

Publications

Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, Aaron Gokaslan, Edgar Marroquin, Justin T. Chiu, Alexander M. Rush, Volodymyr Kuleshov
Simple and Effective Masked Diffusion Language Models. CoRR (2024)
Phillip Si, Zeyi Chen, Subham Sekhar Sahoo, Yair Schiff, Volodymyr Kuleshov
Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows. ICML (2023)
Subham Sekhar Sahoo, Aaron Gokaslan, Chris De Sa, Volodymyr Kuleshov
Diffusion Models With Learned Adaptive Noise. CoRR (2023)
Subham Sekhar Sahoo, Anselm Paulus, Marin Vlastelica, Vít Musil, Volodymyr Kuleshov, Georg Martius
Backpropagation through Combinatorial Algorithms: Identity with Projection Works. ICLR (2023)
Subham Sekhar Sahoo, Marin Vlastelica, Anselm Paulus, Vít Musil, Volodymyr Kuleshov, Georg Martius
Gradient Backpropagation Through Combinatorial Algorithms: Identity with Projection Works. CoRR (2022)
Subham Sekhar Sahoo, Subhashini Venugopalan, Li Li, Rishabh Singh, Patrick Riley
Scaling Symbolic Methods using Gradients for Neural Model Explanation. ICLR (2021)
Subham Sekhar Sahoo, Subhashini Venugopalan, Li Li, Rishabh Singh, Patrick F. Riley
Scaling Symbolic Methods using Gradients for Neural Model Explanation. CoRR (2020)