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Valentin Khrulkov
Valentin Khrulkov
Yandex
Bestätigte E-Mail-Adresse bei skolkovotech.ru - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Revisiting deep learning models for tabular data
Y Gorishniy, I Rubachev, V Khrulkov, A Babenko
Advances in Neural Information Processing Systems 34, 18932-18943, 2021
4612021
Label-efficient semantic segmentation with diffusion models
D Baranchuk, I Rubachev, A Voynov, V Khrulkov, A Babenko
arXiv preprint arXiv:2112.03126, 2021
3192021
Hyperbolic image embeddings
V Khrulkov, L Mirvakhabova, E Ustinova, I Oseledets, V Lempitsky
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
2492020
Art of singular vectors and universal adversarial perturbations
V Khrulkov, I Oseledets
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 …, 2017
1412017
Geometry Score: A Method For Comparing Generative Adversarial Networks
V Khrulkov, I Oseledets
ICML 2018, 2018
1242018
Expressive power of recurrent neural networks
V Khrulkov, A Novikov, I Oseledets
International Conference on Learning Representations (ICLR) 2018, 2017
1222017
Tensorized Embedding Layers for Efficient Model Compression
V Khrulkov, O Hrinchuk, L Mirvakhabova, E Orlova, I Oseledets
arXiv preprint arXiv:1901.10787, 2019
93*2019
Tensor train decomposition on tensorflow (t3f)
A Novikov, P Izmailov, V Khrulkov, M Figurnov, I Oseledets
Journal of Machine Learning Research 21 (30), 1-7, 2020
622020
Hyperbolic vision transformers: Combining improvements in metric learning
A Ermolov, L Mirvakhabova, V Khrulkov, N Sebe, I Oseledets
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
592022
Understanding ddpm latent codes through optimal transport
V Khrulkov, G Ryzhakov, A Chertkov, I Oseledets
arXiv preprint arXiv:2202.07477, 2022
362022
Performance of hyperbolic geometry models on top-N recommendation tasks
L Mirvakhabova, E Frolov, V Khrulkov, I Oseledets, A Tuzhilin
Proceedings of the 14th ACM Conference on Recommender Systems, 527-532, 2020
262020
Generalized tensor models for recurrent neural networks
V Khrulkov, O Hrinchuk, I Oseledets
arXiv preprint arXiv:1901.10801, 2019
252019
Neural side-by-side: Predicting human preferences for no-reference super-resolution evaluation
V Khrulkov, A Babenko
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
152021
Disentangled representations from non-disentangled models
V Khrulkov, L Mirvakhabova, I Oseledets, A Babenko
arXiv preprint arXiv:2102.06204, 2021
142021
Latent transformations via NeuralODEs for GAN-based image editing
V Khrulkov, L Mirvakhabova, I Oseledets, A Babenko
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
132021
Desingularization of bounded-rank matrix sets
V Khrulkov, I Oseledets
SIAM Journal on Matrix Analysis and Applications 39 (1), 451-471, 2018
102018
Sample efficient ensemble learning with catalyst. rl
S Kolesnikov, V Khrulkov
arXiv preprint arXiv:2003.14210, 2020
52020
Functional space analysis of local GAN convergence
V Khrulkov, A Babenko, I Oseledets
International Conference on Machine Learning, 5432-5442, 2021
42021
Geometrical Methods in Machine Learning and Tensor Analysis
V Khrulkov
PhD dissertation, Skolkovo Institute, 2020
32020
Universality theorems for generative models
V Khrulkov, I Oseledets
arXiv preprint arXiv:1905.11520, 2019
32019
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