Subham Sekhar Sahoo

According to our database1, Subham Sekhar Sahoo authored at least 10 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2018
2019
2020
2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Simple Guidance Mechanisms for Discrete Diffusion Models.
CoRR, 2024

Simple and Effective Masked Diffusion Language Models.
CoRR, 2024

Diffusion Models With Learned Adaptive Noise.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Simple and Effective Masked Diffusion Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows.
Proceedings of the International Conference on Machine Learning, 2023

Backpropagation through Combinatorial Algorithms: Identity with Projection Works.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Training Neural Networks using SAT solvers.
CoRR, 2022

Gradient Backpropagation Through Combinatorial Algorithms: Identity with Projection Works.
CoRR, 2022

2021
Scaling Symbolic Methods using Gradients for Neural Model Explanation.
Proceedings of the 9th International Conference on Learning Representations, 2021

2018
Learning Equations for Extrapolation and Control.
Proceedings of the 35th International Conference on Machine Learning, 2018


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