Oseledets, Ivan

37 publications

ICLR 2026 Curse of Slicing: Why Sliced Mutual Information Is a Deceptive Measure of Statistical Dependence Alexander Semenenko, Ivan Butakov, Ivan Oseledets, Alexey Frolov

ICLR 2026 Deep Learning for Subspace Regression Vladimir Fanaskov, Vladislav Trifonov, Alexander Rudikov, Ekaterina Muravleva, Ivan Oseledets

ICLR 2026 Locally Subspace-Informed Neural Operators for Efficient Multiscale PDE Solving Alexander Rudikov, Vladimir Fanaskov, Sergei Stepanov, Buzheng Shan, Ekaterina Muravleva, Yalchin Efendiev, Ivan Oseledets

ICLR 2026 Logit‑KL Flow Matching: Non‑Autoregressive Text Generation via Sampling‑Hybrid Inference Egor Sevriugov, Nikita Dragunov, Anton Razzhigaev, Andrey Kuznetsov, Ivan Oseledets

TMLR 2026 Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations Vladislav Trifonov, Ekaterina Muravleva, Ivan Oseledets

ICLR 2026 Modeling the Density of Pixel-Level Self-Supervised Embeddings for Unsupervised Pathology Segmentation in Medical CT Mikhail Goncharov, Eugenia Soboleva, Daniil Ignatyev, Mariia Donskova, Mikhail Belyaev, Ivan Oseledets, Marina Munkhoeva, Maxim Panov

ICLR 2026 Speech-to-LaTeX: New Models and Datasets for Converting Spoken Equations and Sentences Dmitrii Korzh, Dmitrii Tarasov, Artyom Iudin, Elvir Karimov, Matvey Skripkin, Nikita Kuzmin, Andrey Kuznetsov, Oleg Rogov, Ivan Oseledets

ICLR 2025 Associative Memory and Dead Neurons Vladimir Fanaskov, Ivan Oseledets

ICLRW 2025 On the Spatial Structure of Mixture-of-Experts in Transformers Daniel Bershatsky, Ivan Oseledets

ICML 2024 Neural Operators Meet Conjugate Gradients: The FCG-NO Method for Efficient PDE Solving Alexander Rudikov, Vladimir Fanaskov, Ekaterina Muravleva, Yuri M. Laevsky, Ivan Oseledets

UAI 2024 Quantization of Large Language Models with an Overdetermined Basis Daniil Merkulov, Daria Cherniuk, Alexander Rudikov, Ivan Oseledets, Ekaterina Muravleva, Aleksandr Mikhalev, Boris Kashin

ICLR 2023 Constructive TT-Representation of the Tensors Given as Index Interaction Functions with Applications Gleb Ryzhakov, Ivan Oseledets

ICML 2023 Few-Bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction Georgii Sergeevich Novikov, Daniel Bershatsky, Julia Gusak, Alex Shonenkov, Denis Valerievich Dimitrov, Ivan Oseledets

ICML 2023 General Covariance Data Augmentation for Neural PDE Solvers Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan Oseledets

NeurIPS 2023 Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning Marina Munkhoeva, Ivan Oseledets

NeurIPS 2023 PROTES: Probabilistic Optimization with Tensor Sampling Anastasiia Batsheva, Andrei Chertkov, Gleb Ryzhakov, Ivan Oseledets

ICLR 2023 Understanding DDPM Latent Codes Through Optimal Transport Valentin Khrulkov, Gleb Ryzhakov, Andrei Chertkov, Ivan Oseledets

WACV 2022 Geometry-Inspired Top-K Adversarial Perturbations Nurislam Tursynbek, Aleksandr Petiushko, Ivan Oseledets

CVPR 2022 Hyperbolic Vision Transformers: Combining Improvements in Metric Learning Aleksandr Ermolov, Leyla Mirvakhabova, Valentin Khrulkov, Nicu Sebe, Ivan Oseledets

NeurIPS 2022 Smoothed Embeddings for Certified Few-Shot Learning Mikhail Pautov, Olesya Kuznetsova, Nurislam Tursynbek, Aleksandr Petiushko, Ivan Oseledets

NeurIPS 2022 TTOpt: A Maximum Volume Quantized Tensor Train-Based Optimization and Its Application to Reinforcement Learning Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh-Huy Phan, Andrzej S Cichocki, Ivan Oseledets

ICML 2021 Functional Space Analysis of Local GAN Convergence Valentin Khrulkov, Artem Babenko, Ivan Oseledets

ICCV 2021 Latent Transformations via NeuralODEs for GAN-Based Image Editing Valentin Khrulkov, Leyla Mirvakhabova, Ivan Oseledets, Artem Babenko

CVPR 2020 Hyperbolic Image Embeddings Valentin Khrulkov, Leyla Mirvakhabova, Evgeniya Ustinova, Ivan Oseledets, Victor Lempitsky

NeurIPS 2020 Interpolation Technique to Speed up Gradients Propagation in Neural ODEs Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva, Julia Gusak, Andrzej Cichocki, Ivan Oseledets

NeurIPSW 2020 Learning Elimination Ordering for Tree Decomposition Problem Taras Khakhulin, Roman Schutski, Ivan Oseledets

ECCV 2020 Stable Low-Rank Tensor Decomposition for Compression of Convolutional Neural Network Anh-Huy Phan, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Julia Gusak, Petr Tichavský, Valeriy Glukhov, Ivan Oseledets, Andrzej Cichocki

ICLRW 2020 Stochastic Gradient Algorithms from ODE Splitting Perspective Daniil Merkulov, Ivan Oseledets

MLOSS 2020 Tensor Train Decomposition on TensorFlow (T3F) Alexander Novikov, Pavel Izmailov, Valentin Khrulkov, Michael Figurnov, Ivan Oseledets

ICLR 2020 The Shape of Data: Intrinsic Distance for Data Distributions Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alex Bronstein, Ivan Oseledets, Emmanuel Müller

ICLRW 2020 Towards Understanding Normalization in Neural ODEs Julia Gusak, Larisa Markeeva, Talgat Daulbaev, Alexander Katrutsa, Andrzej Cichocki, Ivan Oseledets

ICLR 2019 Generalized Tensor Models for Recurrent Neural Networks Valentin Khrulkov, Oleksii Hrinchuk, Ivan Oseledets

ICML 2019 PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach Lily Weng, Pin-Yu Chen, Lam Nguyen, Mark Squillante, Akhilan Boopathy, Ivan Oseledets, Luca Daniel

CVPR 2018 Art of Singular Vectors and Universal Adversarial Perturbations Valentin Khrulkov, Ivan Oseledets

ICLR 2018 Expressive Power of Recurrent Neural Networks Valentin Khrulkov, Alexander Novikov, Ivan Oseledets

ICML 2018 Geometry Score: A Method for Comparing Generative Adversarial Networks Valentin Khrulkov, Ivan Oseledets

NeurIPS 2018 Quadrature-Based Features for Kernel Approximation Marina Munkhoeva, Yermek Kapushev, Evgeny Burnaev, Ivan Oseledets