Valentin Khrulkov

According to our database, Valentin Khrulkov authored at least 24 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

YaART: Yet Another ART Rendering Technology.

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

CoRR, 2024

2023

Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models.

Nikita Starodubcev, Dmitry Baranchuk, Valentin Khrulkov, Artem Babenko

CoRR, 2023

Understanding DDPM Latent Codes Through Optimal Transport.

Valentin Khrulkov, Gleb V. Ryzhakov, Andrei Chertkov, Ivan V. Oseledets

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Understanding DDPM Latent Codes Through Optimal Transport.

Valentin Khrulkov, Ivan V. Oseledets

CoRR, 2022

Label-Efficient Semantic Segmentation with Diffusion Models.

Dmitry Baranchuk, Andrey Voynov, Ivan Rubachev, Valentin Khrulkov, Artem Babenko

Proceedings of the Tenth International Conference on Learning Representations, 2022

Hyperbolic Vision Transformers: Combining Improvements in Metric Learning.

Aleksandr Ermolov, Leyla Mirvakhabova, Valentin Khrulkov, Nicu Sebe, Ivan V. Oseledets

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Disentangled Representations from Non-Disentangled Models.

Valentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem Babenko

CoRR, 2021

Revisiting Deep Learning Models for Tabular Data.

Yury Gorishniy, Ivan Rubachev, Valentin Khrulkov, Artem Babenko

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Functional Space Analysis of Local GAN Convergence.

Valentin Khrulkov, Artem Babenko, Ivan V. Oseledets

Proceedings of the 38th International Conference on Machine Learning, 2021

Latent Transformations via NeuralODEs for GAN-based Image Editing.

Valentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem Babenko

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation.

Valentin Khrulkov, Artem Babenko

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Tensor Train Decomposition on TensorFlow (T3F).

Alexander Novikov, Pavel Izmailov, Valentin Khrulkov, Michael Figurnov, Ivan V. Oseledets

J. Mach. Learn. Res., 2020

Sample Efficient Ensemble Learning with Catalyst.RL.

Sergey Kolesnikov, Valentin Khrulkov

CoRR, 2020

Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks.

Leyla Mirvakhabova, Evgeny Frolov, Valentin Khrulkov, Ivan V. Oseledets, Alexander Tuzhilin

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Tensorized Embedding Layers.

Oleksii Hrinchuk, Valentin Khrulkov, Leyla Mirvakhabova, Elena Orlova, Ivan V. Oseledets

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Hyperbolic Image Embeddings.

Valentin Khrulkov, Leyla Mirvakhabova, Evgeniya Ustinova, Ivan V. Oseledets, Victor S. Lempitsky

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Universality Theorems for Generative Models.

Valentin Khrulkov, Ivan V. Oseledets

CoRR, 2019

Tensorized Embedding Layers for Efficient Model Compression.

Valentin Khrulkov, Oleksii Hrinchuk, Leyla Mirvakhabova, Ivan V. Oseledets

CoRR, 2019

Generalized Tensor Models for Recurrent Neural Networks.

Valentin Khrulkov, Oleksii Hrinchuk, Ivan V. Oseledets

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Desingularization of Bounded-Rank Matrix Sets.

Valentin Khrulkov, Ivan V. Oseledets

SIAM J. Matrix Anal. Appl., 2018

Geometry Score: A Method For Comparing Generative Adversarial Networks.

Valentin Khrulkov, Ivan V. Oseledets

Proceedings of the 35th International Conference on Machine Learning, 2018

Expressive power of recurrent neural networks.

Valentin Khrulkov, Alexander Novikov, Ivan V. Oseledets

Proceedings of the 6th International Conference on Learning Representations, 2018

Art of Singular Vectors and Universal Adversarial Perturbations.

Valentin Khrulkov, Ivan V. Oseledets

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Vico-Greengard-Ferrando quadratures in the tensor solver for integral equations.

Valentin Khrulkov, M. V. Rakhuba, Ivan V. Oseledets

CoRR, 2017