Vico-Greengard-Ferrando quadratures in the tensor solver for integral equations. - Valentin Khrulkov; M. V. Rakhuba; Ivan V. Oseledets (CoRR, 2017)

Art of Singular Vectors and Universal Adversarial Perturbations. - Valentin Khrulkov; Ivan V. Oseledets (CVPR, 2018)

Expressive power of recurrent neural networks. - Valentin Khrulkov; Alexander Novikov 001; Ivan V. Oseledets (ICLR (Poster), 2018)

Geometry Score: A Method For Comparing Generative Adversarial Networks. - Valentin Khrulkov; Ivan V. Oseledets (ICML, 2018)

Desingularization of Bounded-Rank Matrix Sets. - Valentin Khrulkov; Ivan V. Oseledets (SIAM J. Matrix Anal. Appl., 2018)

Generalized Tensor Models for Recurrent Neural Networks. - Valentin Khrulkov; Oleksii Hrinchuk; Ivan V. Oseledets (ICLR (Poster), 2019)

Tensorized Embedding Layers for Efficient Model Compression. - Valentin Khrulkov; Oleksii Hrinchuk; Leyla Mirvakhabova; Ivan V. Oseledets (CoRR, 2019)

Universality Theorems for Generative Models. - Valentin Khrulkov; Ivan V. Oseledets (CoRR, 2019)

Hyperbolic Image Embeddings. - Valentin Khrulkov; Leyla Mirvakhabova; Evgeniya Ustinova; Ivan V. Oseledets; Victor S. Lempitsky (CVPR, 2020)

Tensorized Embedding Layers. - Oleksii Hrinchuk; Valentin Khrulkov; Leyla Mirvakhabova; Elena Orlova; Ivan V. Oseledets (EMNLP (Findings), 2020)

Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks. - Leyla Mirvakhabova; Evgeny Frolov; Valentin Khrulkov; Ivan V. Oseledets; Alexander Tuzhilin (RecSys, 2020)

Sample Efficient Ensemble Learning with Catalyst.RL. - Sergey Kolesnikov; Valentin Khrulkov (CoRR, 2020)

Tensor Train Decomposition on TensorFlow (T3F). - Alexander Novikov 001; Pavel Izmailov; Valentin Khrulkov; Michael Figurnov; Ivan V. Oseledets (J. Mach. Learn. Res., 2020)

Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation. - Valentin Khrulkov; Artem Babenko (CVPR, 2021)

Latent Transformations via NeuralODEs for GAN-based Image Editing. - Valentin Khrulkov; Leyla Mirvakhabova; Ivan V. Oseledets; Artem Babenko (ICCV, 2021)

Functional Space Analysis of Local GAN Convergence. - Valentin Khrulkov; Artem Babenko; Ivan V. Oseledets (ICML, 2021)

Revisiting Deep Learning Models for Tabular Data. - Yury Gorishniy; Ivan Rubachev; Valentin Khrulkov; Artem Babenko (NeurIPS, 2021)

Disentangled Representations from Non-Disentangled Models. - Valentin Khrulkov; Leyla Mirvakhabova; Ivan V. Oseledets; Artem Babenko (CoRR, 2021)

Hyperbolic Vision Transformers: Combining Improvements in Metric Learning. - Aleksandr Ermolov; Leyla Mirvakhabova; Valentin Khrulkov; Nicu Sebe; Ivan V. Oseledets (CVPR, 2022)

Label-Efficient Semantic Segmentation with Diffusion Models. - Dmitry Baranchuk; Andrey Voynov; Ivan Rubachev; Valentin Khrulkov; Artem Babenko (ICLR, 2022)

Understanding DDPM Latent Codes Through Optimal Transport. - Valentin Khrulkov; Ivan V. Oseledets (CoRR, 2022)

Understanding DDPM Latent Codes Through Optimal Transport. - Valentin Khrulkov; Gleb V. Ryzhakov; Andrei Chertkov; Ivan V. Oseledets (ICLR, 2023)

Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models. - Nikita Starodubcev; Dmitry Baranchuk; Valentin Khrulkov; Artem Babenko (CoRR, 2023)

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; et al. (CoRR, 2024)

Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis. - Anton Voronov; Denis Kuznedelev; Mikhail Khoroshikh; Valentin Khrulkov; Dmitry Baranchuk (CoRR, 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; et al. (KDD (1), 2025)