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

  • 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. 38th Conference on 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. 38th Conference on Neural Information Processing Systems (NeurIPS 2024, spotlight). [paper, code, project]


    Subham S. Sahoo*, Anselm Paulus*, Marin Vlastelica, Vit Musil, Volodymyr Kuleshov, Georg Martius. Backpropagation through Combinatorial Algorithms: Identity with Projection Works. 11th International Conference on Learning Representations (ICLR 2023). [paper, code]


    Subham S. Sahoo, Subhashini Venugopalan, Li Li, Rishabh Singh, Patrick Riley. Scaling Symbolic Methods using Gradients for Neural Model Explanation. 9th International Conference on Learning Representations (ICLR 2021). [paper, code]


    Subham S. Sahoo, Christoph H. Lampert, Georg Martius. Learning Equations for Extrapolation and Control. 35th International Conference on Machine Learning (ICML 2018). [paper, project, code]

Daniel lewis
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Daniel lewis

Richard was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

Background

Education

  1. Cornell Tech, New York, USA.

    2022 — present

    Ph.D in Computer Science.
    Thesis: Diffusion Language Models.
    Committee: Prof. Volodymyr Kuleshov (chair), Prof. Noah Snavely, Prof. Bart Selman.

  2. Indian Institute of Technology - Kharagpur, India.

    2015 — 2019

    Bachelor's in Electrical Engineering.

Experience

  1. Cruise, San Francisco, USA.

    2023 (May - July)

    Research intern.
    Team: AV Behaviors.

  2. Max Planck Institute for Intelligent Systems, Tubingen, Germany.

    2021 (Aug - Dec)

    Visiting Researcher.
    Team: Autonomous Learning Group.

  3. Google Research, Mountain View, USA.

    2019 — 2021

    AI Resident.
    Teams: Accelerated Science, Operations Research.

Papers

  • 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. 38th Conference on Neural Information Processing Systems (NeurIPS 2024). [paper, code, project]


    Subham S. Sahoo, John X. Morris, Aaron Gokaslan, Srijeeta Biswas, Vitaly Shamtikov, Volodymyr Kuleshov. Gradient-Free Classifier-Based Guidance for Diffusion Models. Under Review, 2024.


    Subham S. Sahoo, Aaron Gokaslan, Chris De Sa, Volodymyr Kuleshov. Diffusion Models With Learned Adaptive Noise. 38th Conference on Neural Information Processing Systems (NeurIPS 2024, spotlight). [paper, code, project]

  • Subham S. Sahoo, Anselm Paulus, Marin Vlastelica, Vit Musil, Volodymyr Kuleshov, Georg Martius. Backpropagation through Combinatorial Algorithms: Identity with Projection Works. 9th International Conference on Learning Representations (ICLR 2023). [paper, code]


    Phillip Si, Zeyi Chen, Subham S. Sahoo, Subham S. Sahoo, Yair Schiff, Volodymyr Kuleshov. Semi-Autoregressive Energy Flows: Towards Determinant-Free Training of Normalizing Flows. 40th International Conference on Machine Learning (ICML 2023). [paper]

  • Subham S. Sahoo, Subhashini Venugopalan, Li Li, Rishabh Singh, Patrick Riley. Scaling Symbolic Methods using Gradients for Neural Model Explanation. 9th International Conference on Learning Representations (ICLR 2021). [paper, code]


    Subham S. Sahoo, Ross Anderson, Christian Tjandraatmadja. Local Search on TPUs. pre-print, 2021. [paper]

  • Subham S. Sahoo. Training Neual Networks using SAT solvers. pre-print, 2018. [paper]


    Subham S. Sahoo, Christoph H. Lampert, Georg Martius. Learning Equations for Extrapolation and Control. 35th International Conference on Machine Learning (ICML 2018). [paper, project, code]