Subham Sekhar Sahoo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
2
Active years
2021–2025
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICML | The Diffusion Duality. | Subham Sekhar Sahoo, Justin Deschenaux, Aaron Gokaslan, Guanghan Wang, Justin T. Chiu, Volodymyr Kuleshov |
| 2023 | ICLR | Backpropagation through Combinatorial Algorithms: Identity with Projection Works. | Subham Sekhar Sahoo, Anselm Paulus, Marin Vlastelica, Vt Musil, Volodymyr Kuleshov, Georg Martius |
| 2023 | ICML | Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows. | Phillip Si, Zeyi Chen, Subham Sekhar Sahoo, Yair Schiff, Volodymyr Kuleshov |
| 2021 | ICLR | Scaling Symbolic Methods using Gradients for Neural Model Explanation. | Subham Sekhar Sahoo, Subhashini Venugopalan, Li Li, Rishabh Singh, Patrick Riley |