Ivan V. Oseledets

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 245

Top Venues

Publications

Georgii S. Novikov, Ivan V. Oseledets
Inverted Activations. CoRR (2024)
Kseniia Kuvshinova, Olga Tsymboi, Ivan V. Oseledets
Sparse and Transferable Universal Singular Vectors Attack. CoRR (2024)
Anton Razzhigaev, Matvey Mikhalchuk, Elizaveta Goncharova, Nikolai Gerasimenko, Ivan V. Oseledets, Denis Dimitrov, Andrey Kuznetsov
Your Transformer is Secretly Linear. ACL (1) (2024)
Vladislav Trifonov, Alexander Rudikov, Oleg Iliev, Ivan V. Oseledets, Ekaterina A. Muravleva
Learning from Linear Algebra: A Graph Neural Network Approach to Preconditioner Design for Conjugate Gradient Solvers. CoRR (2024)
Aleksandr Katrutsa, Ivan V. Oseledets, Sergey Utyuzhnikov
Data-driven optimal prediction with control. CoRR (2024)
Vladislav Trifonov, Alexander Rudikov, Oleg Iliev, Ivan V. Oseledets, Ekaterina A. Muravleva
ConDiff: A Challenging Dataset for Neural Solvers of Partial Differential Equations. CoRR (2024)
Andrey V. Galichin, Mikhail Pautov, Alexey Zhavoronkin, Oleg Y. Rogov, Ivan V. Oseledets
GLiRA: Black-Box Membership Inference Attack via Knowledge Distillation. CoRR (2024)
Roman Korkin, Ivan V. Oseledets, Aleksandr Katrutsa
Multiparticle Kalman filter for object localization in symmetric environments. Expert Syst. Appl. 237 (Part A) (2024)
Dmitrii Korzh, Elvir Karimov, Mikhail Pautov, Oleg Y. Rogov, Ivan V. Oseledets
Certification of Speaker Recognition Models to Additive Perturbations. CoRR (2024)
Salman Ahmadi-Asl, Stanislav Abukhovich, Maame G. Asante-Mensah, Andrzej Cichocki, Anh Huy Phan, Tohishisa Tanaka, Ivan V. Oseledets
Corrections to "Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD)". IEEE Access 12 (2024)
Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan V. Oseledets
Astral: training physics-informed neural networks with error majorants. CoRR (2024)
Gleb V. Ryzhakov, Andrei Chertkov, Artem Basharin, Ivan V. Oseledets
Black-Box Approximation and Optimization with Hierarchical Tucker Decomposition. CoRR (2024)
V. Abronin, A. Naumov, D. Mazur, D. Bystrov, K. Tsarova, Artem Melnikov, Ivan V. Oseledets, Sergey Dolgov, R. Brasher, Michael Perelshtein
TQCompressor: improving tensor decomposition methods in neural networks via permutations. CoRR (2024)
Alexander Rudikov, Vladimir Fanaskov, Ekaterina A. Muravleva, Yuri M. Laevsky, Ivan V. Oseledets
Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving. CoRR (2024)
Mikhail Pautov, Nikita Bogdanov, Stanislav Pyatkin, Oleg Rogov, Ivan V. Oseledets
Probabilistically Robust Watermarking of Neural Networks. CoRR (2024)
Daniel Bershatsky, Daria Cherniuk, Talgat Daulbaev, Aleksandr Mikhalev, Ivan V. Oseledets
LoTR: Low Tensor Rank Weight Adaptation. CoRR (2024)
Daniil Merkulov, Daria Cherniuk, Alexander Rudikov, Ivan V. Oseledets, Ekaterina A. Muravleva, Aleksandr Mikhalev, Boris Kashin
Quantization of Large Language Models with an Overdetermined Basis. CoRR (2024)
Anton Razzhigaev, Matvey Mikhalchuk, Elizaveta Goncharova, Ivan V. Oseledets, Denis Dimitrov, Andrey Kuznetsov
The Shape of Learning: Anisotropy and Intrinsic Dimensions in Transformer-Based Models. EACL (Findings) (2024)
Elizaveta Goncharova, Anton Razzhigaev, Matvey Mikhalchuk, Maxim Kurkin, Irina Abdullaeva, Matvey Skripkin, Ivan V. Oseledets, Denis Dimitrov, Andrey Kuznetsov
OmniFusion Technical Report. CoRR (2024)
Gleb V. Ryzhakov, Svetlana Pavlova, Egor Sevriugov, Ivan V. Oseledets
Smart Flow Matching: On The Theory of Flow Matching Algorithms with Applications. CoRR (2024)
Nikita Pospelov, Andrei Chertkov, Maxim Beketov, Ivan V. Oseledets, Konstantin Anokhin
Fast gradient-free activation maximization for neurons in spiking neural networks. CoRR (2024)
Vladimir Fanaskov, Alexander Rudikov, Ivan V. Oseledets
Neural functional a posteriori error estimates. CoRR (2024)
Anton Razzhigaev, Matvey Mikhalchuk, Elizaveta Goncharova, Nikolai Gerasimenko, Ivan V. Oseledets, Denis Dimitrov, Andrey Kuznetsov
Your Transformer is Secretly Linear. CoRR (2024)
Albert Saiapin, Ivan V. Oseledets, Evgeny Frolov
Dynamic Collaborative Filtering for Matrix- and Tensor-based Recommender Systems. CoRR (2023)
Yuliya Tukmacheva, Ivan V. Oseledets, Evgeny Frolov
Mitigating Human and Computer Opinion Fraud via Contrastive Learning. CoRR (2023)
Andrei Chertkov, Gleb V. Ryzhakov, Georgii S. Novikov, Ivan V. Oseledets
Tensor Extrema Estimation Via Sampling: A New Approach for Determining Minimum/Maximum Elements. Comput. Sci. Eng. 25 (5) (2023)
Roman Korkin, Ivan V. Oseledets, Aleksandr Katrutsa
Multiparticle Kalman filter for object localization in symmetric environments. CoRR (2023)
Viktoria Chekalina, Georgii S. Novikov, Julia Gusak, Ivan V. Oseledets, Alexander Panchenko
Efficient GPT Model Pre-training using Tensor Train Matrix Representation. CoRR (2023)
Daria Cherniuk, Stanislav Abukhovich, Anh Huy Phan, Ivan V. Oseledets, Andrzej Cichocki, Julia Gusak
Quantization Aware Factorization for Deep Neural Network Compression. CoRR (2023)
Anton Razzhigaev, Matvey Mikhalchuk, Elizaveta Goncharova, Ivan V. Oseledets, Denis Dimitrov, Andrey Kuznetsov
The Shape of Learning: Anisotropy and Intrinsic Dimensions in Transformer-Based Models. CoRR (2023)
Daria Frolova, Aleksandr Katrutsa, Ivan V. Oseledets
Feature-Based Pipeline for Improving Unsupervised Anomaly Segmentation on Medical Images. UNSURE@MICCAI (2023)
Dmitrii Korzh, Mikhail Pautov, Olga Tsymboi, Ivan V. Oseledets
General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing. CoRR (2023)
Egor Sevriugov, Ivan V. Oseledets
Robust GAN inversion. CoRR (2023)
Vladislav Pimanov, Ekaterina A. Muravleva, Ivan V. Oseledets, Oleg Iliev
On the structure of the Schur complement matrix for the Stokes equation. CoRR (2023)
Daria Fokina, Pavel Toktaliev, Oleg Iliev, Ivan V. Oseledets
Machine learning methods for prediction of breakthrough curves in reactive porous media. CoRR (2023)
Egor Sevriugov, Ivan V. Oseledets
Unsupervised evaluation of GAN sample quality: Introducing the TTJac Score. CoRR (2023)
Salman Ahmadi-Asl, Maame Gyamfua Asante-Mensah, Andrzej Cichocki, Anh-Huy Phan, Ivan V. Oseledets, Jun Wang
Fast cross tensor approximation for image and video completion. Signal Process. 213 (2023)
Gleb V. Ryzhakov, Ivan V. Oseledets
Constructive TT-representation of the tensors given as index interaction functions with applications. ICLR (2023)
Alexey I. Boyko, Anastasiia Kornilova, Rahim Tariverdizadeh, Mirfarid Musavian Ghazani, Larisa Markeeva, Ivan V. Oseledets, Gonzalo Ferrer
TT-SDF2PC: Registration of Point Cloud and Compressed SDF Directly in the Memory-Efficient Tensor Train Domain. CoRR (2023)
Roman Korkin, Ivan V. Oseledets, Aleksandr Katrutsa
Memory-efficient particle filter recurrent neural network for object localization. CoRR (2023)
Albert Sayapin, Gleb Balitskiy, Daniel Bershatsky, Aleksandr Katrutsa, Evgeny Frolov, Alexey A. Frolov, Ivan V. Oseledets, Vitaliy Kharin
Federated Privacy-preserving Collaborative Filtering for On-Device Next App Prediction. CoRR (2023)
Olga Tsymboi, Danil Malaev, Andrei Petrovskii, Ivan V. Oseledets
Layerwise universal adversarial attack on NLP models. ACL (Findings) (2023)
Anastasia Batsheva, Andrei Chertkov, Gleb V. Ryzhakov, Ivan V. Oseledets
PROTES: Probabilistic Optimization with Tensor Sampling. CoRR (2023)
Svetlana Illarionova, Dmitrii Shadrin, Islomjon Shukhratov, Ksenia Evteeva, Georgii Popandopulo, Nazar Sotiriadi, Ivan V. Oseledets, Evgeny Burnaev
Benchmark for Building Segmentation on Up-Scaled Sentinel-2 Imagery. Remote. Sens. 15 (9) (2023)
Vladislav Pimanov, Oleg Iliev, Ivan V. Oseledets, Ekaterina A. Muravleva
On the efficient preconditioning of the Stokes equations in tight geometries. CoRR (2023)
Filipp Skomorokhov, Jun Wang, George V. Ovchinnikov, Evgeny Burnaev, Ivan V. Oseledets
An event-triggered iteratively reweighted convex optimization approach to multi-period portfolio selection. Expert Syst. Appl. 216 (2023)
Ruituo Wu, Jiani Liu, Ce Zhu, Anh Huy Phan, Ivan V. Oseledets, Yipeng Liu
TERM Model: Tensor Ring Mixture Model for Density Estimation. CoRR (2023)
Marina Munkhoeva, Ivan V. Oseledets
Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning. NeurIPS (2023)
Valentin Khrulkov, Gleb V. Ryzhakov, Andrei Chertkov, Ivan V. Oseledets
Understanding DDPM Latent Codes Through Optimal Transport. ICLR (2023)
Daria Fokina, Vasiliy V. Grigoriev, Oleg Iliev, Ivan V. Oseledets
Machine Learning Algorithms for Parameter Identification for Reactive Flow in Porous Media. LSSC (2023)
Andrei Chertkov, Olga Tsymboi, Mikhail Pautov, Ivan V. Oseledets
Translate your gibberish: black-box adversarial attack on machine translation systems. CoRR (2023)
Evgeny Frolov, Ivan V. Oseledets
Tensor-Based Sequential Learning via Hankel Matrix Representation for Next Item Recommendations. IEEE Access 11 (2023)
Anastasia Batsheva, Andrei Chertkov, Gleb V. Ryzhakov, Ivan V. Oseledets
PROTES: Probabilistic Optimization with Tensor Sampling. NeurIPS (2023)
Daria Cherniuk, Aleksandr Mikhalev, Ivan V. Oseledets
Run LoRA Run: Faster and Lighter LoRA Implementations. CoRR (2023)
Salman Ahmadi-Asl, Anh Huy Phan, Andrzej Cichocki, Ashish Jha, Anastasia Sozykina, Jun Wang, Ivan V. Oseledets
Fast Adaptive Cross Tubal Tensor Approximation. SSP (2023)
Georgii Sergeevich Novikov, Daniel Bershatsky, Julia Gusak, Alex Shonenkov, Denis Valerievich Dimitrov, Ivan V. Oseledets
Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction. ICML (2023)
Ivan V. Oseledets, Maxim V. Rakhuba, André Uschmajew
Local convergence of alternating low-rank optimization methods with overrelaxation. Numer. Linear Algebra Appl. 30 (3) (2023)
Andrei Chertkov, Gleb V. Ryzhakov, Ivan V. Oseledets
Black Box Approximation in the Tensor Train Format Initialized by ANOVA Decomposition. SIAM J. Sci. Comput. 45 (4) (2023)
Aleksandr Katrutsa, Sergey Utyuzhnikov, Ivan V. Oseledets
Extension of Dynamic Mode Decomposition for dynamic systems with incomplete information based on t-model of optimal prediction. J. Comput. Phys. 476 (2023)
Andrei Chertkov, Ivan V. Oseledets
Tensor Train Decomposition for Adversarial Attacks on Computer Vision Models. CoRR (2023)
Salman Ahmadi-Asl, Anh Huy Phan, Andrzej Cichocki, Anastasia Sozykina, Zaher Al Aghbari, Jun Wang, Ivan V. Oseledets
Adaptive Cross Tubal Tensor Approximation. CoRR (2023)
Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan V. Oseledets
General Covariance Data Augmentation for Neural PDE Solvers. ICML (2023)
Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan V. Oseledets
General Covariance Data Augmentation for Neural PDE Solvers. CoRR (2023)
Viktoria Chekalina, Georgiy Novikov, Julia Gusak, Alexander Panchenko, Ivan V. Oseledets
Efficient GPT Model Pre-training using Tensor Train Matrix Representation. PACLIC (2023)
Sergey Nesteruk, Svetlana Illarionova, Ilya Zherebzov, Claire Traweek, Nadezhda Mikhailova, Andrey Somov, Ivan V. Oseledets
PseudoAugment: Enabling Smart Checkout Adoption for New Classes Without Human Annotation. IEEE Access 11 (2023)
Marina Munkhoeva, Ivan V. Oseledets
Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning. CoRR (2023)
Ivan V. Oseledets, Vladimir Fanaskov
Direct optimization of BPX preconditioners. J. Comput. Appl. Math. 402 (2022)
Mikhail Usvyatsov, Rafael Ballester-Ripoll, Lina Bashaeva, Konrad Schindler, Gonzalo Ferrer, Ivan V. Oseledets
T4DT: Tensorizing Time for Learning Temporal 3D Visual Data. CoRR (2022)
Vladimir A. Kazeev, Ivan V. Oseledets, Maxim V. Rakhuba, Christoph Schwab
Quantized Tensor FEM for Multiscale Problems: Diffusion Problems in Two and Three Dimensions. Multiscale Model. Simul. 20 (3) (2022)
Svetlana Illarionova, Dmitrii Shadrin, Vladimir Ignatiev, Sergey Shayakhmetov, Alexey Trekin, Ivan V. Oseledets
Estimation of the Canopy Height Model From Multispectral Satellite Imagery With Convolutional Neural Networks. IEEE Access 10 (2022)
Aleksandr Ermolov, Leyla Mirvakhabova, Valentin Khrulkov, Nicu Sebe, Ivan V. Oseledets
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning. CVPR (2022)
Daria Fokina, Oleg Iliev, Pavel Toktaliev, Ivan V. Oseledets, Felix Schindler
On the Performance of Machine Learning Methods for Breakthrough Curve Prediction. CoRR (2022)
Daniel Bershatsky, Aleksandr Mikhalev, Alexandr Katrutsa, Julia Gusak, Daniil Merkulov, Ivan V. Oseledets
Memory-Efficient Backpropagation through Large Linear Layers. CoRR (2022)
Vladimir Fanaskov, Ivan V. Oseledets
Direct optimization of BPX preconditioners. CoRR (2022)
Olga Tsymboi, Yermek Kapushev, Evgeny Burnaev, Ivan V. Oseledets
Denoising Score Matching via Random Fourier Features. IEEE Access 10 (2022)
Vladimir Fanaskov, Ivan V. Oseledets
Spectral Neural Operators. CoRR (2022)
Evgeny Frolov, Ivan V. Oseledets
Tensor-based Sequential Learning via Hankel Matrix Representation for Next Item Recommendations. CoRR (2022)
Semen A. Budennyy, Vladimir D. Lazarev, Nikita Zakharenko, Alexey N. Korovin, Olga Plosskaya, Denis Dimitrov, Vladimir Arkhipkin, Ivan V. Oseledets, Ivan Barsola, Ilya Egorov, Aleksandra Kosterina, Leonid Zhukov
Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI. CoRR (2022)
Artyom Nikitin, Andrei Chertkov, Rafael Ballester-Ripoll, Ivan V. Oseledets, Evgeny Frolov
Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks. CoRR (2022)
Julia Gusak, Daria Cherniuk, Alena Shilova, Alexandr Katrutsa, Daniel Bershatsky, Xunyi Zhao, Lionel Eyraud-Dubois, Oleh Shliazhko, Denis Dimitrov, Ivan V. Oseledets, Olivier Beaumont
Survey on Efficient Training of Large Neural Networks. IJCAI (2022)
Julia Gusak, Daria Cherniuk, Alena Shilova, Alexandr Katrutsa, Daniel Bershatsky, Xunyi Zhao, Lionel Eyraud-Dubois, Oleg Shlyazhko, Denis Dimitrov, Ivan V. Oseledets, Olivier Beaumont
Survey on Large Scale Neural Network Training. CoRR (2022)
Aleksandr Ermolov, Leyla Mirvakhabova, Valentin Khrulkov, Nicu Sebe, Ivan V. Oseledets
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning. CoRR (2022)
Daria A. Sushnikova, Pavel Kharyuk, Ivan V. Oseledets
FMM-Net: neural network architecture based on the Fast Multipole Method. CoRR (2022)
Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets
Geometry-Inspired Top-k Adversarial Perturbations. WACV (2022)
Alexandr Katrutsa, Sergey Utyuzhnikov, Ivan V. Oseledets
Extension of Dynamic Mode Decomposition for dynamic systems with incomplete information based on t-model of optimal prediction. CoRR (2022)
Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh Huy Phan, Andrzej Cichocki, Ivan V. Oseledets
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning. CoRR (2022)
Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko, Ivan V. Oseledets
CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks. AAAI (2022)
Anna Petrovskaia, Raghavendra B. Jana, Ivan V. Oseledets
A Single Image Deep Learning Approach to Restoration of Corrupted Landsat-7 Satellite Images. Sensors 22 (23) (2022)
Georgii S. Novikov, Daniel Bershatsky, Julia Gusak, Alex Shonenkov, Denis Dimitrov, Ivan V. Oseledets
Few-Bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction. CoRR (2022)
Gleb V. Ryzhakov, Ivan V. Oseledets
Constructive TT-representation of the tensors given as index interaction functions with applications. CoRR (2022)
Andrei Chertkov, Gleb V. Ryzhakov, Ivan V. Oseledets
Black box approximation in the tensor train format initialized by ANOVA decomposition. CoRR (2022)
Valentin Khrulkov, Ivan V. Oseledets
Understanding DDPM Latent Codes Through Optimal Transport. CoRR (2022)
Nikita Marin, Elizaveta Makhneva, Maria Lysyuk, Vladimir Chernyy, Ivan V. Oseledets, Evgeny Frolov
Tensor-based Collaborative Filtering With Smooth Ratings Scale. CoRR (2022)
Ivan Matvienko, Mikhail Gasanov, Anna Petrovskaia, Maxim A. Kuznetsov, Raghavendra B. Jana, Maria Pukalchik, Ivan V. Oseledets
Bayesian Aggregation Improves Traditional Single-Image Crop Classification Approaches. Sensors 22 (22) (2022)
Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh-Huy Phan, Andrzej S. Cichocki, Ivan V. Oseledets
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning. NeurIPS (2022)
Sergey Nesteruk, Svetlana Illarionova, Timur Akhtyamov, Dmitrii Shadrin, Andrey Somov, Mariia Pukalchik, Ivan V. Oseledets
XtremeAugment: Getting More From Your Data Through Combination of Image Collection and Image Augmentation. IEEE Access 10 (2022)
Mikhail Pautov, Olesya Kuznetsova, Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets
Smoothed Embeddings for Certified Few-Shot Learning. NeurIPS (2022)
Andrei Chertkov, Gleb V. Ryzhakov, Georgii S. Novikov, Ivan V. Oseledets
Optimization of Functions Given in the Tensor Train Format. CoRR (2022)
Mikhail Usvyatsov, Rafael Ballester, Lina Bashaeva, Konrad Schindler, Gonzalo Ferrer, Ivan V. Oseledets
T4DT: Tensorizing Time for Learning Temporal 3D Visual Data. BMVC (2022)
Salman Ahmadi-Asl, Maame Gyamfua Asante-Mensah, Andrzej Cichocki, Anh Huy Phan, Ivan V. Oseledets, Jun Wang
Cross Tensor Approximation for Image and Video Completion. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ivan V. Oseledets