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Daniil Selikhanovych
Daniil Selikhanovych
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Near Optimal Methods for Minimizing Convex Functions with Lipschitz -th Derivatives
A Gasnikov, P Dvurechensky, E Gorbunov, E Vorontsova, ...
Conference on Learning Theory, 1392-1393, 2019
802019
Neural optimal transport
A Korotin, D Selikhanovych, E Burnaev
arXiv preprint arXiv:2201.12220, 2022
542022
Optimal tensor methods in smooth convex and uniformly convexoptimization
A Gasnikov, P Dvurechensky, E Gorbunov, E Vorontsova, ...
Conference on Learning Theory, 1374-1391, 2019
502019
The global rate of convergence for optimal tensor methods in smooth convex optimization
A Gasnikov, P Dvurechensky, E Gorbunov, E Vorontsova, ...
arXiv preprint arXiv:1809.00382, 2018
242018
Kernel neural optimal transport
A Korotin, D Selikhanovych, E Burnaev
arXiv preprint arXiv:2205.15269, 2022
152022
Extremal domain translation with neural optimal transport
M Gazdieva, A Korotin, D Selikhanovych, E Burnaev
Advances in Neural Information Processing Systems 36, 2024
52024
Ex2MCMC: Sampling through Exploration Exploitation
E Lagutin, D Selikhanovych, A Thin, S Samsonov, A Naumov, ...
stat, 2022
22022
NeuSD: Surface Completion with Multi-View Text-to-Image Diffusion
S Ignatyev, D Selikhanovych, O Voynov, Y Wang, P Wonka, ...
arXiv preprint arXiv:2312.04654, 2023
2023
DeepRLS: A Recurrent Network Architecture with Least Squares Implicit Layers for Non-blind Image Deconvolution
I Koshelev, D Selikhanovych, S Lefkimmiatis
arXiv preprint arXiv:2112.05505, 2021
2021
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