Nikita Gushchin

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Researcher at Skoltech.

Research interests. My main research interests are the development and improvement of generative models. In particular, I am interested in accelerating diffusion models and extending them to unpaired image-to-image translation and use for single cell data.

Current Research. My current research is at the intersection of diffusion models and optimal transport theory. I have developed several algorithms and a benchmark for the Schrödinger bridge problem, solving which allows to construct diffusion processes with fast inference time.

news

Dec 16, 2023 I won the Yandex ML Prize scholarship for young ML scientsits.

selected publications

  1. NeurIPS, Oral
    Entropic neural optimal transport via diffusion processes
    Nikita Gushchin, Alexander Kolesov, Alexander Korotin, and 2 more authors
    Advances in Neural Information Processing Systems, 2023
  2. NeurIPS
    Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark
    Nikita Gushchin, Alexander Kolesov, Petr Mokrov, and 4 more authors
    Advances in Neural Information Processing Systems, 2023
  3. ArXiv
    Light Schrödinger Bridge
    Alexander Korotin*, Nikita Gushchin*, and Evgeny Burnaev
    arXiv preprint arXiv:2310.01174, 2023
  4. ArXiv
    Energy-guided Entropic Neural Optimal Transport
    Petr Mokrov, Alexander Korotin, Nikita Gushchin, and 1 more author
    arXiv preprint arXiv:2304.06094, 2023