About me
I'm a 3rd year Ph.D. student at Cornell Tech in NYC, advised by Prof. Volodymyr Kuleshov. My research focuses on Generative AI for text and images.
Projects
Select Papers
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Subham S. Sahoo, Marianne Arriola, Yair Schiff, Aaron Gokaslan, Edgar Marroquin, Justin T Chiu, Alexander Rush, Volodymyr Kuleshov. Simple and Effective Masked Diffusion Language Models. Neural Information Processing Systems (NeurIPS - 2024), 2024. [paper, code, project]
Subham S. Sahoo, Aaron Gokaslan, Chris De Sa, Volodymyr Kuleshov. Diffusion Models With Learned Adaptive Noise. Neural Information Processing Systems (NeurIPS - 2024, spotlight), 2024. [paper, code, project]
Subham S. Sahoo*, Anselm Paulus*, Marin Vlastelica, Vit Musil, Volodymyr Kuleshov, Georg Martius. Backpropagation through Combinatorial Algorithms: Identity with Projection Works. International Conference on Learning Representations (ICLR - 2023), 2023. [paper, code]
Subham S. Sahoo, Subhashini Venugopalan, Li Li, Rishabh Singh, Patrick Riley. Scaling Symbolic Methods using Gradients for Neural Model Explanation. International Conference on Learning Representations (ICLR - 2021), 2021. [paper, code]
Subham S. Sahoo, Christoph H. Lampert, Georg Martius. Learning Equations for Extrapolation and Control. International Conference on Machine Learning (ICML - 2018), 2018. [paper, project, code]