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Daniil Selikhanovych
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2020 – today
- 2024
- [i8]Nikita Gushchin, Daniil Selikhanovych, Sergei Kholkin, Evgeny Burnaev, Alexander Korotin:
Adversarial Schrödinger Bridge Matching. CoRR abs/2405.14449 (2024) - [i7]Savva Ignatyev, Nina Konovalova, Daniil Selikhanovych, Nikolay Patakin, Oleg Voynov, Dmitry Senushkin, Alexander Filippov, Anton Konushin, Peter Wonka, Evgeny Burnaev:
A3D: Does Diffusion Dream about 3D Alignment? CoRR abs/2406.15020 (2024) - 2023
- [c5]Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev:
Neural Optimal Transport. ICLR 2023 - [c4]Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev:
Kernel Neural Optimal Transport. ICLR 2023 - [c3]Milena Gazdieva, Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev:
Extremal Domain Translation with Neural Optimal Transport. NeurIPS 2023 - [i6]Milena Gazdieva, Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev:
Extremal Domain Translation with Neural Optimal Transport. CoRR abs/2301.12874 (2023) - [i5]Savva Ignatyev, Daniil Selikhanovych, Oleg Voynov, Yiqun Wang, Peter Wonka, Stamatios Lefkimmiatis, Evgeny Burnaev:
NeuSD: Surface Completion with Multi-View Text-to-Image Diffusion. CoRR abs/2312.04654 (2023) - 2022
- [i4]Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev:
Neural Optimal Transport. CoRR abs/2201.12220 (2022) - [i3]Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev
:
Kernel Neural Optimal Transport. CoRR abs/2205.15269 (2022) - 2021
- [i2]Evgeny Lagutin, Daniil Selikhanovych, Achille Thin, Sergey Samsonov, Alexey Naumov, Denis Belomestny, Maxim Panov, Eric Moulines:
Ex2MCMC: Sampling through Exploration Exploitation. CoRR abs/2111.02702 (2021) - [i1]Iaroslav Koshelev, Daniil Selikhanovych, Stamatios Lefkimmiatis:
DeepRLS: A Recurrent Network Architecture with Least Squares Implicit Layers for Non-blind Image Deconvolution. CoRR abs/2112.05505 (2021)
2010 – 2019
- 2019
- [c2]Alexander V. Gasnikov, Pavel E. Dvurechensky, Eduard Gorbunov, Evgeniya A. Vorontsova, Daniil Selikhanovych, César A. Uribe:
Optimal Tensor Methods in Smooth Convex and Uniformly ConvexOptimization. COLT 2019: 1374-1391 - [c1]Alexander V. Gasnikov, Pavel E. Dvurechensky, Eduard Gorbunov, Evgeniya A. Vorontsova, Daniil Selikhanovych, César A. Uribe, Bo Jiang, Haoyue Wang, Shuzhong Zhang, Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford:
Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-th Derivatives. COLT 2019: 1392-1393
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