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Dmitry Vetrov

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Large Learning Rates Improve Generalization: But How Large Are We Talking About?

Nov 19, 2023
Ekaterina Lobacheva, Eduard Pockonechnyy, Maxim Kodryan, Dmitry Vetrov

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Gradual Optimization Learning for Conformational Energy Minimization

Nov 05, 2023
Artem Tsypin, Leonid Ugadiarov, Kuzma Khrabrov, Manvel Avetisian, Alexander Telepov, Egor Rumiantsev, Alexey Skrynnik, Aleksandr I. Panov, Dmitry Vetrov, Elena Tutubalina, Artur Kadurin

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Generative Flow Networks as Entropy-Regularized RL

Oct 23, 2023
Daniil Tiapkin, Nikita Morozov, Alexey Naumov, Dmitry Vetrov

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Neural Diffusion Models

Oct 12, 2023
Grigory Bartosh, Dmitry Vetrov, Christian A. Naesseth

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UnDiff: Unsupervised Voice Restoration with Unconditional Diffusion Model

Jun 01, 2023
Anastasiia Iashchenko, Pavel Andreev, Ivan Shchekotov, Nicholas Babaev, Dmitry Vetrov

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To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning

Mar 06, 2023
Ildus Sadrtdinov, Dmitrii Pozdeev, Dmitry Vetrov, Ekaterina Lobacheva

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Differentiable Rendering with Reparameterized Volume Sampling

Feb 21, 2023
Nikita Morozov, Denis Rakitin, Oleg Desheulin, Dmitry Vetrov, Kirill Struminsky

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Star-Shaped Denoising Diffusion Probabilistic Models

Feb 10, 2023
Andrey Okhotin, Dmitry Molchanov, Vladimir Arkhipkin, Grigory Bartosh, Aibek Alanov, Dmitry Vetrov

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StyleDomain: Analysis of StyleSpace for Domain Adaptation of StyleGAN

Dec 20, 2022
Aibek Alanov, Vadim Titov, Maksim Nakhodnov, Dmitry Vetrov

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