Nikita Gushchin
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. |
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selected publications
- NeurIPS, OralEntropic neural optimal transport via diffusion processesAdvances in Neural Information Processing Systems, 2023
- NeurIPSBuilding the Bridge of Schrödinger: A Continuous Entropic Optimal Transport BenchmarkAdvances in Neural Information Processing Systems, 2023
- ArXivLight Schrödinger BridgearXiv preprint arXiv:2310.01174, 2023
- ArXivEnergy-guided Entropic Neural Optimal TransportarXiv preprint arXiv:2304.06094, 2023