Valentin Khrulkov

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 36

Top Topics

Recurrent Neural Networks

Singular Vectors

Metric Learning

Diffusion Models

Top Venues

Publications

Sergey Kastryulin, Artem Konev, Alexander Shishenya, Eugene Lyapustin, Artem Khurshudov, Alexander Tselousov, Nikita Vinokurov, Denis Kuznedelev, Alexander Markovich, Grigoriy Livshits, Alexey Kirillov, Anastasiia Tabisheva, Liubov Chubarova, Marina Kaminskaia, Alexander Ustyuzhanin, Artemii Shvetsov, Daniil Shlenskii, Valerii Startsev, Dmitrii Kornilov, Mikhail Romanov, Artem Babenko, Sergei Ovcharenko, Valentin Khrulkov
YaART: Yet Another ART Rendering Technology. CoRR (2024)
Nikita Starodubcev, Dmitry Baranchuk, Valentin Khrulkov, Artem Babenko
Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models. CoRR (2023)
Valentin Khrulkov, Gleb V. Ryzhakov, Andrei Chertkov, Ivan V. Oseledets
Understanding DDPM Latent Codes Through Optimal Transport. ICLR (2023)
Aleksandr Ermolov, Leyla Mirvakhabova, Valentin Khrulkov, Nicu Sebe, Ivan V. Oseledets
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning. CVPR (2022)
Dmitry Baranchuk, Andrey Voynov, Ivan Rubachev, Valentin Khrulkov, Artem Babenko
Label-Efficient Semantic Segmentation with Diffusion Models. ICLR (2022)
Aleksandr Ermolov, Leyla Mirvakhabova, Valentin Khrulkov, Nicu Sebe, Ivan V. Oseledets
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning. CoRR (2022)
Valentin Khrulkov, Ivan V. Oseledets
Understanding DDPM Latent Codes Through Optimal Transport. CoRR (2022)
Yury Gorishniy, Ivan Rubachev, Valentin Khrulkov, Artem Babenko
Revisiting Deep Learning Models for Tabular Data. CoRR (2021)
Valentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem Babenko
Disentangled Representations from Non-Disentangled Models. CoRR (2021)
Dmitry Baranchuk, Ivan Rubachev, Andrey Voynov, Valentin Khrulkov, Artem Babenko
Label-Efficient Semantic Segmentation with Diffusion Models. CoRR (2021)
Valentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem Babenko
Latent Transformations via NeuralODEs for GAN-based Image Editing. CoRR (2021)
Valentin Khrulkov, Artem Babenko
Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation. CVPR (2021)
Yury Gorishniy, Ivan Rubachev, Valentin Khrulkov, Artem Babenko
Revisiting Deep Learning Models for Tabular Data. NeurIPS (2021)
Valentin Khrulkov, Artem Babenko, Ivan V. Oseledets
Functional Space Analysis of Local GAN Convergence. ICML (2021)
Valentin Khrulkov, Artem Babenko, Ivan V. Oseledets
Functional Space Analysis of Local GAN Convergence. CoRR (2021)
Valentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem Babenko
Latent Transformations via NeuralODEs for GAN-based Image Editing. ICCV (2021)
Alexander Novikov, Pavel Izmailov, Valentin Khrulkov, Michael Figurnov, Ivan V. Oseledets
Tensor Train Decomposition on TensorFlow (T3F). J. Mach. Learn. Res. 21 (2020)
Valentin Khrulkov, Leyla Mirvakhabova, Evgeniya Ustinova, Ivan V. Oseledets, Victor S. Lempitsky
Hyperbolic Image Embeddings. CVPR (2020)
Leyla Mirvakhabova, Evgeny Frolov, Valentin Khrulkov, Ivan V. Oseledets, Alexander Tuzhilin
Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks. RecSys (2020)
Oleksii Hrinchuk, Valentin Khrulkov, Leyla Mirvakhabova, Elena D. Orlova, Ivan V. Oseledets
Tensorized Embedding Layers. EMNLP (Findings) (2020)
Leyla Mirvakhabova, Evgeny Frolov, Valentin Khrulkov, Ivan V. Oseledets, Alexander Tuzhilin
Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks. CoRR (2020)
Sergey Kolesnikov, Valentin Khrulkov
Sample Efficient Ensemble Learning with Catalyst.RL. CoRR (2020)
Valentin Khrulkov, Ivan V. Oseledets
Universality Theorems for Generative Models. CoRR (2019)
Valentin Khrulkov, Oleksii Hrinchuk, Ivan V. Oseledets
Generalized Tensor Models for Recurrent Neural Networks. CoRR (2019)
Valentin Khrulkov, Oleksii Hrinchuk, Ivan V. Oseledets
Generalized Tensor Models for Recurrent Neural Networks. ICLR (Poster) (2019)
Valentin Khrulkov, Leyla Mirvakhabova, Evgeniya Ustinova, Ivan V. Oseledets, Victor S. Lempitsky
Hyperbolic Image Embeddings. CoRR (2019)
Valentin Khrulkov, Oleksii Hrinchuk, Leyla Mirvakhabova, Ivan V. Oseledets
Tensorized Embedding Layers for Efficient Model Compression. CoRR (2019)
Valentin Khrulkov, Ivan V. Oseledets
Geometry Score: A Method For Comparing Generative Adversarial Networks. ICML (2018)
Alexander Novikov, Pavel Izmailov, Valentin Khrulkov, Michael Figurnov, Ivan V. Oseledets
Tensor Train decomposition on TensorFlow (T3F). CoRR (2018)
Valentin Khrulkov, Alexander Novikov, Ivan V. Oseledets
Expressive power of recurrent neural networks. ICLR (Poster) (2018)
Valentin Khrulkov, Ivan V. Oseledets
Geometry Score: A Method For Comparing Generative Adversarial Networks. CoRR (2018)
Valentin Khrulkov, Ivan V. Oseledets
Desingularization of Bounded-Rank Matrix Sets. SIAM J. Matrix Anal. Appl. 39 (1) (2018)
Valentin Khrulkov, Ivan V. Oseledets
Art of Singular Vectors and Universal Adversarial Perturbations. CVPR (2018)
Valentin Khrulkov, M. V. Rakhuba, Ivan V. Oseledets
Vico-Greengard-Ferrando quadratures in the tensor solver for integral equations. CoRR (2017)
Valentin Khrulkov, Ivan V. Oseledets
Art of singular vectors and universal adversarial perturbations. CoRR (2017)
Valentin Khrulkov, Alexander Novikov, Ivan V. Oseledets
Expressive power of recurrent neural networks. CoRR (2017)