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Education and qualifications (4)

Skolkovo Institute of Science and Technology: Skolkovo, RU

2021-11-01 to 2025-10-31 | PhD student (Applied AI Center)
Education
Source: Self-asserted source
Daniil Selikhanovych

Skolkovo Institute of Science and Technology: Skolkovo, RU

2019-09-01 to 2021-08-31 | Master (Center for Computational Data-Intensive Science and Engineering)
Education
Source: Self-asserted source
Daniil Selikhanovych

Moscow Institute of Physics and Technology: Dolgoprudnyy, RU

2019-09-01 to 2021-08-31 | Master (Faculty of Applied Mathematics and Control)
Education
Source: Self-asserted source
Daniil Selikhanovych

Moscow Institute of Physics and Technology: Dolgoprudnyy, RU

2015-09-01 to 2019-08-31 | Bachelor (Faculty of Applied Mathematics and Control)
Education
Source: Self-asserted source
Daniil Selikhanovych

Works (14)

Adversarial Schrödinger Bridge Matching

arXiv
2024 | Other
EID:

2-s2.0-85195526393

Part of ISSN: 23318422
Contributors: Gushchin, N.; Selikhanovych, D.; Kholkin, S.; Burnaev, E.; Korotin, A.
Source: Self-asserted source
Daniil Selikhanovych via Scopus - Elsevier
grade
Preferred source (of 2)‎

Extremal Domain Translation with Neural Optimal Transport

arXiv
2023 | Other
EID:

2-s2.0-85179720432

Part of ISSN: 23318422
Contributors: Gazdieva, M.; Korotin, A.; Selikhanovych, D.; Burnaev, E.
Source: Self-asserted source
Daniil Selikhanovych via Scopus - Elsevier

Extremal Domain Translation with Neural Optimal Transport

Advances in Neural Information Processing Systems
2023 | Conference paper
EID:

2-s2.0-85174879430

Part of ISSN: 10495258
Contributors: Gazdieva, M.; Korotin, A.; Selikhanovych, D.; Burnaev, E.
Source: Self-asserted source
Daniil Selikhanovych via Scopus - Elsevier

Extremal Domain Translation with Neural Optimal Transport

Thirty-seventh Conference on Neural Information Processing Systems
2023 | Conference paper
URI:

https://openreview.net/forum?id=vZRiMjo826

Contributors: Milena Gazdieva; Alexander Korotin; Daniil Selikhanovych; Evgeny Burnaev
Source: Self-asserted source
Daniil Selikhanovych

Kernel Neural Optimal Transport

The Eleventh International Conference on Learning Representations
2023 | Conference paper
URI:

https://openreview.net/forum?id=Zuc_MHtUma4

Contributors: Alexander Korotin; Daniil Selikhanovych; Evgeny Burnaev
Source: Self-asserted source
Daniil Selikhanovych

Neural Optimal Transport

The Eleventh International Conference on Learning Representations
2023 | Conference paper
URI:

https://openreview.net/forum?id=d8CBRlWNkqH

Contributors: Alexander Korotin; Daniil Selikhanovych; Evgeny Burnaev
Source: Self-asserted source
Daniil Selikhanovych

NeuSD: Surface Completion with Multi-View Text-to-Image Diffusion

arXiv
2023 | Other
EID:

2-s2.0-85180391624

Part of ISSN: 23318422
Contributors: Ignatyev, S.; Selikhanovych, D.; Voynov, O.; Wang, Y.; Wonka, P.; Lefkimmiatis, S.; Burnaev, E.
Source: Self-asserted source
Daniil Selikhanovych via Scopus - Elsevier
grade
Preferred source (of 2)‎

KERNEL NEURAL OPTIMAL TRANSPORT

arXiv
2022 | Other
EID:

2-s2.0-85132168302

Part of ISSN: 23318422
Contributors: Korotin, A.; Selikhanovych, D.; Burnaev, E.
Source: Self-asserted source
Daniil Selikhanovych via Scopus - Elsevier

NEURAL OPTIMAL TRANSPORT

arXiv
2022 | Other
EID:

2-s2.0-85152520181

Part of ISSN: 23318422
Contributors: Korotin, A.; Selikhanovych, D.; Burnaev, E.
Source: Self-asserted source
Daniil Selikhanovych via Scopus - Elsevier

DeepRLS: A recurrent network architecture with least squares implicit layers for non-blind image deconvolution

arXiv
2021 | Other
EID:

2-s2.0-85181611520

Part of ISSN: 23318422
Contributors: Koshelev, I.; Selikhanovych, D.; Lefkimmiatis, S.
Source: Self-asserted source
Daniil Selikhanovych via Scopus - Elsevier
grade
Preferred source (of 2)‎

Near Optimal Methods for Minimizing Convex Functions with Lipschitz p-th Derivatives

Proceedings of Machine Learning Research
2019 | Conference paper
EID:

2-s2.0-85160854483

Part of ISSN: 26403498
Contributors: Gasnikov, A.; Dvurechensky, P.; Gorbunov, E.; Vorontsova, E.; Selikhanovych, D.; Uribe, C.A.; Jiang, B.; Wang, H.; Zhang, S.; Bubeck, S. et al.
Source: Self-asserted source
Daniil Selikhanovych via Scopus - Elsevier

Optimal Tensor Methods in Smooth Convex and Uniformly Convex Optimization

Proceedings of Machine Learning Research
2019 | Conference paper
EID:

2-s2.0-85090173869

Part of ISSN: 26403498
Contributors: Gasnikov, A.; Dvurechensky, P.; Gorbunov, E.; Vorontsova, E.; Selikhanovych, D.; Uribe, C.A.
Source: Self-asserted source
Daniil Selikhanovych via Scopus - Elsevier

Optimal Tensor Methods in Smooth Convex and Uniformly ConvexOptimization

Proceedings of the Thirty-Second Conference on Learning Theory
2019 | Conference paper
URI:

https://proceedings.mlr.press/v99/gasnikov19a.html

Contributors: Gasnikov, Alexander; Dvurechensky, Pavel; Gorbunov, Eduard; Vorontsova, Evgeniya; Selikhanovych, Daniil; Uribe, César A.; Beygelzimer, Alina; Hsu, Daniel
Source: Self-asserted source
Daniil Selikhanovych

Optimal tensor methods in smooth convex and uniformly convex optimization

arXiv
2018 | Other
EID:

2-s2.0-85170733915

Part of ISSN: 23318422
Contributors: Gasnikov, A.; Dvurechensky, P.; Gorbunov, E.; Vorontsova, E.; Selikhanovych, D.; Uribe, C.A.
Source: Self-asserted source
Daniil Selikhanovych via Scopus - Elsevier