Subham Sekhar Sahoo

According to our database, Subham Sekhar Sahoo authored at least 7 papers between 2018 and 2023.

Collaborative distances:

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

2023

Diffusion Models With Learned Adaptive Noise.

Subham Sekhar Sahoo, Aaron Gokaslan, Chris De Sa, Volodymyr Kuleshov

CoRR, 2023

Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows.

Phillip Si, Zeyi Chen, Subham Sekhar Sahoo, Yair Schiff, Volodymyr Kuleshov

Proceedings of the International Conference on Machine Learning, 2023

Backpropagation through Combinatorial Algorithms: Identity with Projection Works.

Subham Sekhar Sahoo, Anselm Paulus, Marin Vlastelica, Vít Musil, Volodymyr Kuleshov, Georg Martius

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Training Neural Networks using SAT solvers.

Subham S. Sahoo

CoRR, 2022

Gradient Backpropagation Through Combinatorial Algorithms: Identity with Projection Works.

Subham Sekhar Sahoo, Marin Vlastelica, Anselm Paulus, Vít Musil, Volodymyr Kuleshov, Georg Martius

CoRR, 2022

2021

Scaling Symbolic Methods using Gradients for Neural Model Explanation.

Subham Sekhar Sahoo, Subhashini Venugopalan, Li Li, Rishabh Singh, Patrick Riley

Proceedings of the 9th International Conference on Learning Representations, 2021

2018

Learning Equations for Extrapolation and Control.

Subham S. Sahoo, Christoph H. Lampert, Georg Martius

Proceedings of the 35th International Conference on Machine Learning, 2018