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Ivan V. Oseledets
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- affiliation: Skolkovo Institute of Science and Technology, Moscow, Russia
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2020 – today
- 2025
- [j85]Nikita Pospelov
, Andrei Chertkov, Maxim Beketov
, Ivan V. Oseledets, Konstantin Anokhin
:
Fast gradient-free activation maximization for neurons in spiking neural networks. Neurocomputing 618: 129070 (2025) - 2024
- [j84]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: 70742 (2024) - [j83]Roman Korkin, Ivan V. Oseledets, Aleksandr Katrutsa
:
Multiparticle Kalman filter for object localization in symmetric environments. Expert Syst. Appl. 237(Part A): 121408 (2024) - [j82]Daria Cherniuk, Stanislav Abukhovich, Anh Huy Phan, Ivan V. Oseledets, Andrzej Cichocki, Julia Gusak:
Quantization Aware Factorization for Deep Neural Network Compression. J. Artif. Intell. Res. 81: 973-988 (2024) - [j81]Vladislav Pimanov, Oleg Iliev
, Ivan V. Oseledets, Ekaterina A. Muravleva:
On the efficient preconditioning of the Stokes equations in tight geometries. Numer. Linear Algebra Appl. 31(6) (2024) - [j80]Albert Saiapin, 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. User Model. User Adapt. Interact. 34(4): 1369-1398 (2024) - [c62]Anton Razzhigaev, Matvey Mikhalchuk, Elizaveta Goncharova, Nikolai Gerasimenko, Ivan V. Oseledets, Denis Dimitrov, Andrey Kuznetsov:
Your Transformer is Secretly Linear. ACL (1) 2024: 5376-5384 - [c61]Danil Gusak
, Gleb Mezentsev
, Ivan V. Oseledets
, Evgeny Frolov
:
RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders. CIKM 2024: 3772-3776 - [c60]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: 868-874 - [c59]Dmitrii Korzh, Mikhail Pautov, Olga Tsymboi, Ivan V. Oseledets:
General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing. ECAI 2024: 1591-1598 - [c58]Viktoria Chekalina, Anna Rudenko, Gleb Mezentsev, Aleksandr Mikhalev, Alexander Panchenko, Ivan V. Oseledets:
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers. EMNLP 2024: 14929-14939 - [c57]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. ICML 2024 - [c56]Mikhail Pautov, Nikita Bogdanov, Stanislav Pyatkin, Oleg Rogov, Ivan V. Oseledets:
Probabilistically Robust Watermarking of Neural Networks. IJCAI 2024: 4778-4787 - [c55]Mikhail Goncharov, Valentin Samokhin, Eugenia Soboleva, Roman Sokolov, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov, Ivan V. Oseledets:
Anatomical Positional Embeddings. MICCAI (10) 2024: 68-77 - [c54]Gleb Mezentsev
, Danil Gusak
, Ivan V. Oseledets
, Evgeny Frolov
:
Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs. RecSys 2024: 475-485 - [c53]Evgeny Frolov
, Tatyana Matveeva
, Leyla Mirvakhabova
, Ivan V. Oseledets
:
Self-Attentive Sequential Recommendations with Hyperbolic Representations. RecSys 2024: 981-986 - [i159]Mikhail Pautov, Nikita Bogdanov, Stanislav Pyatkin, Oleg Rogov, Ivan V. Oseledets:
Probabilistically Robust Watermarking of Neural Networks. CoRR abs/2401.08261 (2024) - [i158]Nikita Pospelov, Andrei Chertkov, Maxim Beketov, Ivan V. Oseledets, Konstantin Anokhin:
Fast gradient-free activation maximization for neurons in spiking neural networks. CoRR abs/2401.10748 (2024) - [i157]Kseniia Kuvshinova, Olga Tsymboi, Ivan V. Oseledets:
Sparse and Transferable Universal Singular Vectors Attack. CoRR abs/2401.14031 (2024) - [i156]Vadim Abronin, Aleksei Naumov, Denis Mazur, Dmitriy Bystrov, Katerina Tsarova, Artem Melnikov, Ivan V. Oseledets, Sergey Dolgov, Reuben Brasher, Michael Perelshtein:
TQCompressor: improving tensor decomposition methods in neural networks via permutations. CoRR abs/2401.16367 (2024) - [i155]Daniel Bershatsky, Daria Cherniuk, Talgat Daulbaev, Aleksandr Mikhalev, Ivan V. Oseledets:
LoTR: Low Tensor Rank Weight Adaptation. CoRR abs/2402.01376 (2024) - [i154]Gleb V. Ryzhakov, Andrei Chertkov, Artem Basharin, Ivan V. Oseledets:
Black-Box Approximation and Optimization with Hierarchical Tucker Decomposition. CoRR abs/2402.02890 (2024) - [i153]Gleb V. Ryzhakov, Svetlana Pavlova, Egor Sevriugov, Ivan V. Oseledets:
Smart Flow Matching: On The Theory of Flow Matching Algorithms with Applications. CoRR abs/2402.03232 (2024) - [i152]Vladimir Fanaskov
, Alexander Rudikov, Ivan V. Oseledets:
Neural functional a posteriori error estimates. CoRR abs/2402.05585 (2024) - [i151]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 abs/2402.05598 (2024) - [i150]Elizaveta Goncharova, Anton Razzhigaev, Matvey Mikhalchuk, Maxim Kurkin, Irina Abdullaeva, Matvey Skripkin, Ivan V. Oseledets, Denis Dimitrov, Andrey Kuznetsov:
OmniFusion Technical Report. CoRR abs/2404.06212 (2024) - [i149]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 abs/2404.09737 (2024) - [i148]Dmitrii Korzh, Elvir Karimov, Mikhail Pautov, Oleg Y. Rogov, Ivan V. Oseledets:
Certification of Speaker Recognition Models to Additive Perturbations. CoRR abs/2404.18791 (2024) - [i147]Andrey V. Galichin, Mikhail Pautov, Alexey Zhavoronkin, Oleg Y. Rogov, Ivan V. Oseledets:
GLiRA: Black-Box Membership Inference Attack via Knowledge Distillation. CoRR abs/2405.07562 (2024) - [i146]Anton Razzhigaev, Matvey Mikhalchuk, Elizaveta Goncharova, Nikolai Gerasimenko, Ivan V. Oseledets, Denis Dimitrov, Andrey Kuznetsov:
Your Transformer is Secretly Linear. CoRR abs/2405.12250 (2024) - [i145]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 abs/2405.15557 (2024) - [i144]Aleksandr Katrutsa, Ivan V. Oseledets, Sergey Utyuzhnikov:
Data-driven optimal prediction with control. CoRR abs/2406.01991 (2024) - [i143]Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan V. Oseledets:
Astral: training physics-informed neural networks with error majorants. CoRR abs/2406.02645 (2024) - [i142]Vladislav Trifonov, Alexander Rudikov, Oleg Iliev, Ivan V. Oseledets, Ekaterina A. Muravleva:
ConDiff: A Challenging Dataset for Neural Solvers of Partial Differential Equations. CoRR abs/2406.04709 (2024) - [i141]Georgii S. Novikov, Ivan V. Oseledets:
Inverted Activations. CoRR abs/2407.15545 (2024) - [i140]Danil Gusak, Gleb Mezentsev, Ivan V. Oseledets, Evgeny Frolov:
RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders. CoRR abs/2408.02354 (2024) - [i139]Tianchi Yu, Yiming Qi, Ivan V. Oseledets, Shiyi Chen:
Fourier Spectral Physics Informed Neural Network: An Efficient and Low-Memory PINN. CoRR abs/2408.16414 (2024) - [i138]Mikhail Goncharov, Valentin Samokhin, Eugenia Soboleva, Roman Sokolov, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov, Ivan V. Oseledets:
Anatomical Positional Embeddings. CoRR abs/2409.10291 (2024) - [i137]Gleb Mezentsev, Danil Gusak, Ivan V. Oseledets, Evgeny Frolov:
Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs. CoRR abs/2409.18721 (2024) - [i136]Tianchi Yu, Jingwei Qiu, Jiang Yang, Ivan V. Oseledets:
Sinc Kolmogorov-Arnold Network and Its Applications on Physics-informed Neural Networks. CoRR abs/2410.04096 (2024) - [i135]Georgii S. Novikov, Alexander Gneushev, Alexey Kadeishvili, Ivan V. Oseledets:
Tensor-Train Point Cloud Compression and Efficient Approximate Nearest-Neighbor Search. CoRR abs/2410.04462 (2024) - [i134]Viktoria Chekalina, Anna Rudenko, Gleb Mezentsev, Alexander Mikhalev, Alexander Panchenko, Ivan V. Oseledets:
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers. CoRR abs/2410.07383 (2024) - [i133]Vladimir Fanaskov, Ivan V. Oseledets:
Associative memory and dead neurons. CoRR abs/2410.13866 (2024) - [i132]Artem Basharin, Andrei Chertkov, Ivan V. Oseledets:
Faster Language Models with Better Multi-Token Prediction Using Tensor Decomposition. CoRR abs/2410.17765 (2024) - [i131]Alexey Dontsov, Dmitrii Korzh, Alexey Zhavoronkin, Boris Mikheev, Denis Bobkov, Aibek Alanov, Oleg Y. Rogov, Ivan V. Oseledets, Elena Tutubalina:
CLEAR: Character Unlearning in Textual and Visual Modalities. CoRR abs/2410.18057 (2024) - [i130]Egor Sevriugov, Ivan V. Oseledets:
Integrating Geodesic Interpolation and Flow Matching for Non-Autoregressive Text Generation in Logit Space. CoRR abs/2411.16821 (2024) - 2023
- [j79]Evgeny Frolov
, Ivan V. Oseledets:
Tensor-Based Sequential Learning via Hankel Matrix Representation for Next Item Recommendations. IEEE Access 11: 6357-6371 (2023) - [j78]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: 76869-76882 (2023) - [j77]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): 14-25 (2023) - [j76]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: 119427 (2023) - [j75]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: 111913 (2023) - [j74]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) - [j73]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): 2347 (2023) - [j72]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): 2101- (2023) - [j71]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: 109121 (2023) - [c52]Olga Tsymboi, Danil Malaev, Andrei Petrovskii, Ivan V. Oseledets:
Layerwise universal adversarial attack on NLP models. ACL (Findings) 2023: 129-143 - [c51]Valentin Khrulkov, Gleb V. Ryzhakov, Andrei Chertkov, Ivan V. Oseledets:
Understanding DDPM Latent Codes Through Optimal Transport. ICLR 2023 - [c50]Gleb V. Ryzhakov, Ivan V. Oseledets:
Constructive TT-representation of the tensors given as index interaction functions with applications. ICLR 2023 - [c49]Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan V. Oseledets:
General Covariance Data Augmentation for Neural PDE Solvers. ICML 2023: 9665-9688 - [c48]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: 26363-26381 - [c47]Daria Fokina
, Vasiliy V. Grigoriev
, Oleg Iliev
, Ivan V. Oseledets
:
Machine Learning Algorithms for Parameter Identification for Reactive Flow in Porous Media. LSSC 2023: 91-98 - [c46]Daria Frolova, Aleksandr Katrutsa, Ivan V. Oseledets:
Feature-Based Pipeline for Improving Unsupervised Anomaly Segmentation on Medical Images. UNSURE@MICCAI 2023: 115-125 - [c45]Anastasia Batsheva, Andrei Chertkov, Gleb V. Ryzhakov, Ivan V. Oseledets:
PROTES: Probabilistic Optimization with Tensor Sampling. NeurIPS 2023 - [c44]Marina Munkhoeva, Ivan V. Oseledets:
Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning. NeurIPS 2023 - [c43]Viktoria Chekalina, Georgiy Novikov, Julia Gusak, Alexander Panchenko, Ivan V. Oseledets:
Efficient GPT Model Pre-training using Tensor Train Matrix Representation. PACLIC 2023: 600-608 - [c42]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: 552-556 - [i129]Yuliya Tukmacheva, Ivan V. Oseledets, Evgeny Frolov:
Mitigating Human and Computer Opinion Fraud via Contrastive Learning. CoRR abs/2301.03025 (2023) - [i128]Daria Fokina, Pavel Toktaliev, Oleg Iliev, Ivan V. Oseledets:
Machine learning methods for prediction of breakthrough curves in reactive porous media. CoRR abs/2301.04998 (2023) - [i127]Anastasia Batsheva, Andrei Chertkov, Gleb V. Ryzhakov, Ivan V. Oseledets:
PROTES: Probabilistic Optimization with Tensor Sampling. CoRR abs/2301.12162 (2023) - [i126]Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan V. Oseledets:
General Covariance Data Augmentation for Neural PDE Solvers. CoRR abs/2301.12730 (2023) - [i125]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 abs/2303.04744 (2023) - [i124]Roman Korkin, Ivan V. Oseledets, Aleksandr Katrutsa:
Multiparticle Kalman filter for object localization in symmetric environments. CoRR abs/2303.07897 (2023) - [i123]Andrei Chertkov, Olga Tsymboi, Mikhail Pautov, Ivan V. Oseledets:
Translate your gibberish: black-box adversarial attack on machine translation systems. CoRR abs/2303.10974 (2023) - [i122]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 abs/2304.05342 (2023) - [i121]Salman Ahmadi-Asl, Anh Huy Phan, Andrzej Cichocki, Anastasia Sozykina, Zaher Al Aghbari, Jun Wang, Ivan V. Oseledets:
Adaptive Cross Tubal Tensor Approximation. CoRR abs/2305.05030 (2023) - [i120]Marina Munkhoeva, Ivan V. Oseledets:
Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning. CoRR abs/2305.19818 (2023) - [i119]Viktoria Chekalina, Georgii S. Novikov, Julia Gusak, Ivan V. Oseledets, Alexander Panchenko:
Efficient GPT Model Pre-training using Tensor Train Matrix Representation. CoRR abs/2306.02697 (2023) - [i118]Vladislav Pimanov, Oleg Iliev, Ivan V. Oseledets, Ekaterina A. Muravleva:
On the efficient preconditioning of the Stokes equations in tight geometries. CoRR abs/2307.05266 (2023) - [i117]Daria Cherniuk, Stanislav Abukhovich, Anh Huy Phan, Ivan V. Oseledets, Andrzej Cichocki, Julia Gusak:
Quantization Aware Factorization for Deep Neural Network Compression. CoRR abs/2308.04595 (2023) - [i116]Egor Sevriugov, Ivan V. Oseledets:
Robust GAN inversion. CoRR abs/2308.16510 (2023) - [i115]Egor Sevriugov, Ivan V. Oseledets:
Unsupervised evaluation of GAN sample quality: Introducing the TTJac Score. CoRR abs/2309.00107 (2023) - [i114]Vladislav Pimanov, Ekaterina A. Muravleva, Ivan V. Oseledets, Oleg Iliev:
On the structure of the Schur complement matrix for the Stokes equation. CoRR abs/2309.01255 (2023) - [i113]Dmitrii Korzh, Mikhail Pautov, Olga Tsymboi, Ivan V. Oseledets:
General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing. CoRR abs/2309.16710 (2023) - [i112]Roman Korkin, Ivan V. Oseledets, Aleksandr Katrutsa:
Memory-efficient particle filter recurrent neural network for object localization. CoRR abs/2310.01595 (2023) - [i111]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 abs/2311.05928 (2023) - [i110]Daria Cherniuk, Aleksandr Mikhalev, Ivan V. Oseledets:
Run LoRA Run: Faster and Lighter LoRA Implementations. CoRR abs/2312.03415 (2023) - [i109]Ruituo Wu, Jiani Liu, Ce Zhu, Anh Huy Phan, Ivan V. Oseledets, Yipeng Liu:
TERM Model: Tensor Ring Mixture Model for Density Estimation. CoRR abs/2312.08075 (2023) - [i108]Albert Saiapin, Ivan V. Oseledets, Evgeny Frolov:
Dynamic Collaborative Filtering for Matrix- and Tensor-based Recommender Systems. CoRR abs/2312.10064 (2023) - [i107]Andrei Chertkov, Ivan V. Oseledets:
Tensor Train Decomposition for Adversarial Attacks on Computer Vision Models. CoRR abs/2312.12556 (2023) - 2022
- [j70]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: 24010-24028 (2022) - [j69]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: 34116-34132 (2022) - [j68]Olga Tsymboi, Yermek Kapushev
, Evgeny Burnaev
, Ivan V. Oseledets:
Denoising Score Matching via Random Fourier Features. IEEE Access 10: 34154-34169 (2022) - [j67]Ivan V. Oseledets, Vladimir Fanaskov
:
Direct optimization of BPX preconditioners. J. Comput. Appl. Math. 402: 113811 (2022) - [j66]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): 893-935 (2022) - [j65]Svetlana Illarionova
, Dmitrii Shadrin, Vladimir Ignatiev
, Sergey Shayakhmetov, Alexey Trekin, Ivan V. Oseledets:
Augmentation-Based Methodology for Enhancement of Trees Map Detalization on a Large Scale. Remote. Sens. 14(9): 2281 (2022) - [j64]Svetlana Illarionova
, Dmitrii Shadrin
, Polina Tregubova
, Vladimir Ignatiev
, Albert Efimov, Ivan V. Oseledets, Evgeny Burnaev
:
A Survey of Computer Vision Techniques for Forest Characterization and Carbon Monitoring Tasks. Remote. Sens. 14(22): 5861 (2022) - [j63]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): 8600 (2022) - [j62]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): 9273 (2022) - [j61]Alexander Novikov, Maxim V. Rakhuba, Ivan V. Oseledets:
Automatic Differentiation for Riemannian Optimization on Low-Rank Matrix and Tensor-Train Manifolds. SIAM J. Sci. Comput. 44(2): 843- (2022) - [c41]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: 7975-7983 - [c40]Mikhail Usvyatsov, Rafael Ballester, Lina Bashaeva, Konrad Schindler, Gonzalo Ferrer, Ivan V. Oseledets:
T4DT: Tensorizing Time for Learning Temporal 3D Visual Data. BMVC 2022: 348 - [c39]Aleksandr Ermolov, Leyla Mirvakhabova, Valentin Khrulkov, Nicu Sebe
, Ivan V. Oseledets:
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning. CVPR 2022: 7399-7409 - [c38]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: 5494-5501 - [c37]Mikhail Pautov, Olesya Kuznetsova, Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets:
Smoothed Embeddings for Certified Few-Shot Learning. NeurIPS 2022 - [c36]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 - [c35]Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets:
Geometry-Inspired Top-k Adversarial Perturbations. WACV 2022: 4059-4068 - [i106]Daniel Bershatsky, Aleksandr Mikhalev, Alexandr Katrutsa, Julia Gusak, Daniil Merkulov, Ivan V. Oseledets:
Memory-Efficient Backpropagation through Large Linear Layers. CoRR abs/2201.13195 (2022) - [i105]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 abs/2202.00441 (2022) - [i104]Mikhail Pautov, Olesya Kuznetsova, Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets:
Smoothed Embeddings for Certified Few-Shot Learning. CoRR abs/2202.01186 (2022) - [i103]Valentin Khrulkov, Ivan V. Oseledets:
Understanding DDPM Latent Codes Through Optimal Transport. CoRR abs/2202.07477 (2022) - [i102]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 abs/2202.10435 (2022) - [i101]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 abs/2202.11432 (2022) - [i100]Aleksandr Ermolov, Leyla Mirvakhabova, Valentin Khrulkov, Nicu Sebe, Ivan V. Oseledets:
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning. <