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ORCIDIvan V. Oseledets
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- affiliation: Skolkovo Institute of Science and Technology, Moscow, Russia
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2020 – today
- 2024
[j82]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)- [j81]Roman Korkin, Ivan V. Oseledets, Aleksandr Katrutsa:
Multiparticle Kalman filter for object localization in symmetric environments. Expert Syst. Appl. 237(Part A): 121408 (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) - [c61]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 - [c60]Danil Gusak, Gleb Mezentsev, Ivan V. Oseledets, Evgeny Frolov:
RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders. CIKM 2024: 3772-3776 - [c59]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 - [c58]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 - [c57]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 - [c56]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 - [c55]Mikhail Pautov, Nikita Bogdanov, Stanislav Pyatkin, Oleg Rogov, Ivan V. Oseledets:
Probabilistically Robust Watermarking of Neural Networks. IJCAI 2024: 4778-4787 - [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 - [i151]Mikhail Pautov, Nikita Bogdanov, Stanislav Pyatkin, Oleg Rogov, Ivan V. Oseledets:
Probabilistically Robust Watermarking of Neural Networks. CoRR abs/2401.08261 (2024) - [i150]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) - [i149]Kseniia Kuvshinova, Olga Tsymboi, Ivan V. Oseledets:
Sparse and Transferable Universal Singular Vectors Attack. CoRR abs/2401.14031 (2024) - [i148]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) - [i147]Daniel Bershatsky, Daria Cherniuk, Talgat Daulbaev, Aleksandr Mikhalev, Ivan V. Oseledets:
LoTR: Low Tensor Rank Weight Adaptation. CoRR abs/2402.01376 (2024) - [i146]Gleb V. Ryzhakov, Andrei Chertkov, Artem Basharin, Ivan V. Oseledets:
Black-Box Approximation and Optimization with Hierarchical Tucker Decomposition. CoRR abs/2402.02890 (2024) - [i145]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) - [i144]Vladimir Fanaskov, Alexander Rudikov, Ivan V. Oseledets:
Neural functional a posteriori error estimates. CoRR abs/2402.05585 (2024) - [i143]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) - [i142]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) - [i141]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) - [i140]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) - [i139]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) - [i138]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) - [i137]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) - [i136]Aleksandr Katrutsa, Ivan V. Oseledets, Sergey Utyuzhnikov:
Data-driven optimal prediction with control. CoRR abs/2406.01991 (2024) - [i135]Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan V. Oseledets:
Astral: training physics-informed neural networks with error majorants. CoRR abs/2406.02645 (2024) - [i134]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) - [i133]Georgii S. Novikov, Ivan V. Oseledets:
Inverted Activations. CoRR abs/2407.15545 (2024) - [i132]Danil Gusak, Gleb Mezentsev, Ivan V. Oseledets, Evgeny Frolov:
RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders. CoRR abs/2408.02354 (2024) - [i131]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) - [i130]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) - 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. CoRR abs/2203.10833 (2022) - [i99]Daria Fokina, Oleg Iliev, Pavel Toktaliev, Ivan V. Oseledets, Felix Schindler:
On the Performance of Machine Learning Methods for Breakthrough Curve Prediction. CoRR abs/2204.11719 (2022) - [i98]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 abs/2205.00293 (2022) - [i97]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 abs/2205.04490 (2022) - [i96]Nikita Marin, Elizaveta Makhneva, Maria Lysyuk, Vladimir Chernyy, Ivan V. Oseledets, Evgeny Frolov:
Tensor-based Collaborative Filtering With Smooth Ratings Scale. CoRR abs/2205.05070 (2022) - [i95]Vladimir Fanaskov, Ivan V. Oseledets:
Direct optimization of BPX preconditioners. CoRR abs/2205.06158 (2022) - [i94]Vladimir Fanaskov, Ivan V. Oseledets:
Spectral Neural Operators. CoRR abs/2205.10573 (2022) - [i93]Gleb V. Ryzhakov, Ivan V. Oseledets:
Constructive TT-representation of the tensors given as index interaction functions with applications. CoRR abs/2206.03832 (2022) - [i92]Richik Sengupta, Soumik Adhikary, Ivan V. Oseledets, Jacob D. Biamonte:
Tensor networks in machine learning. CoRR abs/2207.02851 (2022) - [i91]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 abs/2207.06072 (2022) - [i90]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 abs/2208.00406 (2022) - [i89]Mikhail Usvyatsov, Rafael Ballester-Ripoll, Lina Bashaeva, Konrad Schindler, Gonzalo Ferrer, Ivan V. Oseledets:
T4DT: Tensorizing Time for Learning Temporal 3D Visual Data. CoRR abs/2208.01421 (2022) - [i88]Andrei Chertkov, Gleb V. Ryzhakov, Ivan V. Oseledets:
Black box approximation in the tensor train format initialized by ANOVA decomposition. CoRR abs/2208.03380 (2022) - [i87]Shakir Showkat Sofi, Ivan V. Oseledets:
A case study of spatiotemporal forecasting techniques for weather forecasting. CoRR abs/2209.14782 (2022) - [i86]Andrei Chertkov, Gleb V. Ryzhakov, Georgii S. Novikov, Ivan V. Oseledets:
Optimization of Functions Given in the Tensor Train Format. CoRR abs/2209.14808 (2022) - [i85]Valentin Leplat, Daniil Merkulov, Aleksandr Katrutsa, Daniel Bershatsky, Ivan V. Oseledets:
NAG-GS: Semi-Implicit, Accelerated and Robust Stochastic Optimizers. CoRR abs/2209.14937 (2022) - [i84]Evgeny Frolov, Ivan V. Oseledets:
Tensor-based Sequential Learning via Hankel Matrix Representation for Next Item Recommendations. CoRR abs/2212.05720 (2022) - [i83]Daria A. Sushnikova, Pavel Kharyuk, Ivan V. Oseledets:
FMM-Net: neural network architecture based on the Fast Multipole Method. CoRR abs/2212.12899 (2022) - 2021
- [j60]Salman Ahmadi-Asl, Stanislav Abukhovich, Maame G. Asante-Mensah, Andrzej Cichocki, Anh-Huy Phan, Toshihisa Tanaka, Ivan V. Oseledets:
Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD). IEEE Access 9: 28684-28706 (2021) - [j59]Salman Ahmadi-Asl, Cesar F. Caiafa, Andrzej Cichocki, Anh Huy Phan, Toshihisa Tanaka, Ivan V. Oseledets, Jun Wang:
Cross Tensor Approximation Methods for Compression and Dimensionality Reduction. IEEE Access 9: 150809-150838 (2021) - [j58]Charlie Vanaret, Philipp Seufert, Jan Schwientek, Gleb Karpov, Gleb V. Ryzhakov, Ivan V. Oseledets, Norbert Asprion, Michael Bortz:
Two-phase approaches to optimal model-based design of experiments: how many experiments and which ones? Comput. Chem. Eng. 146: 107218 (2021) - [j57]Evgeny Ponomarev, Sergey A. Matveev, Ivan V. Oseledets, Valery Glukhov:
Latency Estimation Tool and Investigation of Neural Networks Inference on Mobile GPU. Comput. 10(8): 104 (2021) - [j56]Andrei Chertkov, Ivan V. Oseledets:
Solution of the Fokker-Planck Equation by Cross Approximation Method in the Tensor Train Format. Frontiers Artif. Intell. 4: 668215 (2021) - [j55]Larisa Markeeva, I. Tsybulin, Ivan V. Oseledets:
QTT-isogeometric solver in two dimensions. J. Comput. Phys. 424: 109835 (2021) - [j54]Salman Ahmadi-Asl, Andrzej Cichocki, Anh Huy Phan, Maame G. Asante-Mensah, Mirfarid Musavian Ghazani, Toshihisa Tanaka, Ivan V. Oseledets:
Randomized algorithms for fast computation of low rank tensor ring model. Mach. Learn. Sci. Technol. 2(1): 11001 (2021) - [j53]Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Ivan V. Oseledets, Emmanuel Müller:
FREDE: Anytime Graph Embeddings. Proc. VLDB Endow. 14(6): 1102-1110 (2021) - [j52]Svetlana Illarionova, Sergey Nesteruk, Dmitrii Shadrin, Vladimir Ignatiev, Maria Pukalchik, Ivan V. Oseledets:
MixChannel: Advanced Augmentation for Multispectral Satellite Images. Remote. Sens. 13(11): 2181 (2021) - [j51]Svetlana Illarionova, Dmitrii Shadrin, Alexey Trekin, Vladimir Ignatiev, Ivan V. Oseledets:
Generation of the NIR Spectral Band for Satellite Images with Convolutional Neural Networks. Sensors 21(16): 5646 (2021) - [j50]Svetlana Illarionova, Alexey Trekin, Vladimir Ignatiev, Ivan V. Oseledets:
Neural-Based Hierarchical Approach for Detailed Dominant Forest Species Classification by Multispectral Satellite Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 1810-1820 (2021) - [c34]Nurislam Tursynbek, Ilya Vilkoviskiy, Maria Sindeeva, Ivan V. Oseledets:
Adversarial Turing Patterns from Cellular Automata. AAAI 2021: 2683-2691 - [c33]Mikhail Gasanov, Daniil Merkulov, Artyom Nikitin, Sergey A. Matveev, Nikita Stasenko, Anna Petrovskaia, Mariia Pukalchik, Ivan V. Oseledets:
A New Multi-objective Approach to Optimize Irrigation Using a Crop Simulation Model and Weather History. ICCS (4) 2021: 75-88 - [c32]Valentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem Babenko:
Latent Transformations via NeuralODEs for GAN-based Image Editing. ICCV 2021: 14408-14417 - [c31]Svetlana Illarionova, Sergey Nesteruk, Dmitrii Shadrin, Vladimir Ignatiev, Mariia Pukalchik, Ivan V. Oseledets:
Object-Based Augmentation for Building Semantic Segmentation: Ventura and Santa Rosa Case Study. ICCVW 2021: 1659-1668 - [c30]Valentin Khrulkov, Artem Babenko, Ivan V. Oseledets:
Functional Space Analysis of Local GAN Convergence. ICML 2021: 5432-5442 - [c29]Daria Fokina, Oleg Iliev, Ivan V. Oseledets:
Deep Neural Networks and Adaptive Quadrature for Solving Variational Problems. LSSC 2021: 369-377 - [c28]Georgii S. Novikov, Maxim E. Panov, Ivan V. Oseledets:
Tensor-train density estimation. UAI 2021: 1321-1331 - [c27]Oluwafemi Olaleke, Ivan V. Oseledets, Evgeny Frolov:
Dynamic Modeling of User Preferences for Stable Recommendations. UMAP 2021: 262-266 - [i82]Tsimboy Olga, Yermek Kapushev, Evgeny Burnaev, Ivan V. Oseledets:
Denoising Score Matching with Random Fourier Features. CoRR abs/2101.05239 (2021) - [i81]Valentin Khrulkov, Artem Babenko, Ivan V. Oseledets:
Functional Space Analysis of Local GAN Convergence. CoRR abs/2102.04448 (2021) - [i80]Valentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem Babenko:
Disentangled Representations from Non-Disentangled Models. CoRR abs/2102.06204 (2021) - [i79]Andrei Chertkov, Ivan V. Oseledets:
Solution of the Fokker-Planck equation by cross approximation method in the tensor train format. CoRR abs/2102.08143 (2021) - [i78]Julia Gusak, Alexandr Katrutsa, Talgat Daulbaev, Andrzej Cichocki, Ivan V. Oseledets:
Meta-Solver for Neural Ordinary Differential Equations. CoRR abs/2103.08561 (2021) - [i77]Anna Petrovskaia, Gleb V. Ryzhakov, Ivan V. Oseledets:
Optimal soil sampling design based on the maxvol algorithm. CoRR abs/2103.10337 (2021) - [i76]Alexander Novikov, Maxim V. Rakhuba, Ivan V. Oseledets:
Automatic differentiation for Riemannian optimization on low-rank matrix and tensor-train manifolds. CoRR abs/2103.14974 (2021) - [i75]Oluwafemi Olaleke, Ivan V. Oseledets, Evgeny Frolov:
Dynamic Modeling of User Preferences for Stable Recommendations. CoRR abs/2104.05047 (2021) - [i74]Svetlana Illarionova, Sergey Nesteruk, Dmitrii Shadrin, Vladimir Ignatiev, Mariia Pukalchik, Ivan V. Oseledets:
Object-Based Augmentation Improves Quality of Remote SensingSemantic Segmentation. CoRR abs/2105.05516 (2021) - [i73]Svetlana Illarionova, Dmitrii Shadrin, Alexey Trekin, Vladimir Ignatiev, Ivan V. Oseledets:
Generation of the NIR spectral Band for Satellite Images with Convolutional Neural Networks. CoRR abs/2106.07020 (2021) - [i72]Georgii S. Novikov, Maxim E. Panov, Ivan V. Oseledets:
Tensor-Train Density Estimation. CoRR abs/2108.00089 (2021) - [i71]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. CoRR abs/2109.10696 (2021) - [i70]Ivan V. Oseledets, Maxim V. Rakhuba, André Uschmajew:
Local convergence of alternating low-rank optimization methods with overrelaxation. CoRR abs/2111.14758 (2021) - [i69]Valentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem Babenko:
Latent Transformations via NeuralODEs for GAN-based Image Editing. CoRR abs/2111.14825 (2021) - 2020
- [j49]Daria A. Sushnikova, Ivan V. Oseledets:
Simple non-extensive sparsification of the hierarchical matrices. Adv. Comput. Math. 46(3): 52 (2020) - [j48]Alexandr Katrutsa, Talgat Daulbaev, Ivan V. Oseledets:
Black-box learning of multigrid parameters. J. Comput. Appl. Math. 368 (2020) - [j47]Alexander Novikov, Pavel Izmailov, Valentin Khrulkov, Michael Figurnov, Ivan V. Oseledets:
Tensor Train Decomposition on TensorFlow (T3F). J. Mach. Learn. Res. 21: 30:1-30:7 (2020) - [j46]Yermek Kapushev, Ivan V. Oseledets, Evgeny Burnaev:
Tensor Completion via Gaussian Process-Based Initialization. SIAM J. Sci. Comput. 42(6): A3812-A3824 (2020) - [j45]Chunfeng Cui, Kaiqi Zhang, Talgat Daulbaev, Julia Gusak, Ivan V. Oseledets, Zheng Zhang:
Active Subspace of Neural Networks: Structural Analysis and Universal Attacks. SIAM J. Math. Data Sci. 2(4): 1096-1122 (2020) - [j44]Anh-Huy Phan, Andrzej Cichocki, Ivan V. Oseledets, Giuseppe Giovanni Calvi, Salman Ahmadi-Asl, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition. IEEE Trans. Neural Networks Learn. Syst. 31(6): 2174-2188 (2020) - [c26]Valentin Khrulkov, Leyla Mirvakhabova, Evgeniya Ustinova, Ivan V. Oseledets, Victor S. Lempitsky:
Hyperbolic Image Embeddings. CVPR 2020: 6417-6427 - [c25]Anh Huy Phan, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Julia Gusak, Petr Tichavský, Valeriy Glukhov, Ivan V. Oseledets, Andrzej Cichocki:
Stable Low-Rank Tensor Decomposition for Compression of Convolutional Neural Network. ECCV (29) 2020: 522-539 - [c24]Oleksii Hrinchuk, Valentin Khrulkov, Leyla Mirvakhabova, Elena Orlova, Ivan V. Oseledets:
Tensorized Embedding Layers. EMNLP (Findings) 2020: 4847-4860 - [c23]Mikhail Gasanov, Anna Petrovskaia, Artyom Nikitin, Sergey A. Matveev, Polina Tregubova, Maria Pukalchik, Ivan V. Oseledets:
Sensitivity Analysis of Soil Parameters in Crop Model Supported with High-Throughput Computing. ICCS (7) 2020: 731-741 - [c22]Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Müller:
The Shape of Data: Intrinsic Distance for Data Distributions. ICLR 2020 - [c21]Alexey I. Boyko, Mikhail P. Matrosov, Ivan V. Oseledets, Dzmitry Tsetserukou, Gonzalo Ferrer:
TT-TSDF: Memory-Efficient TSDF with Low-Rank Tensor Train Decomposition. IROS 2020: 10116-10121 - [c20]Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva, Julia Gusak, Andrzej Cichocki, Ivan V. Oseledets:
Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs. NeurIPS 2020 - [c19]Leyla Mirvakhabova, Evgeny Frolov, Valentin Khrulkov, Ivan V. Oseledets, Alexander Tuzhilin:
Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks. RecSys 2020: 527-532 - [i68]Salman Ahmadi-Asl, Andrzej Cichocki, Anh Huy Phan, Ivan V. Oseledets, Stanislav Abukhovich, Toshihisa Tanaka:
Randomized Algorithms for Computation of Tucker decomposition and Higher Order SVD (HOSVD). CoRR abs/2001.07124 (2020) - [i67]Anna Shalova, Ivan V. Oseledets:
Deep Representation Learning for Dynamical Systems Modeling. CoRR abs/2002.05111 (2020) - [i66]Evgeny Ponomarev, Ivan V. Oseledets, Andrzej Cichocki:
Using Reinforcement Learning in the Algorithmic Trading Problem. CoRR abs/2002.11523 (2020) - [i65]Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva, Julia Gusak, Andrzej Cichocki, Ivan V. Oseledets:
Interpolated Adjoint Method for Neural ODEs. CoRR abs/2003.05271 (2020) - [i64]Ivan Matvienko, Mikhail Gasanov, Anna Petrovskaia, Raghavendra Belur Jana, Maria Pukalchik, Ivan V. Oseledets:
Bayesian aggregation improves traditional single image crop classification approaches. CoRR abs/2004.03468 (2020) - [i63]Anna Petrovskaia, Raghavendra B. Jana, Ivan V. Oseledets:
A single image deep learning approach to restoration of corrupted remote sensing products. CoRR abs/2004.04209 (2020) - [i62]Daniil Merkulov, Ivan V. Oseledets:
Stochastic gradient algorithms from ODE splitting perspective. CoRR abs/2004.08981 (2020) - [i61]Julia Gusak, Larisa Markeeva, Talgat Daulbaev, Alexandr Katrutsa, Andrzej Cichocki, Ivan V. Oseledets:
Towards Understanding Normalization in Neural ODEs. CoRR abs/2004.09222 (2020) - [i60]Roman Schutski, Dmitry Kolmakov, Taras Khakhulin, Ivan V. Oseledets:
Simple heuristics for efficient parallel tensor contraction and quantum circuit simulation. CoRR abs/2004.10892 (2020) - [i59]Vladimir A. Kazeev, Ivan V. Oseledets, Maksim Rakhuba, Christoph Schwab:
Quantized tensor FEM for multiscale problems: diffusion problems in two and three dimensions. CoRR abs/2006.01455 (2020) - [i58]Anna Shalova, Ivan V. Oseledets:
Tensorized Transformer for Dynamical Systems Modeling. CoRR abs/2006.03445 (2020) - [i57]Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Ivan V. Oseledets, Emmanuel Müller:
FREDE: Linear-Space Anytime Graph Embeddings. CoRR abs/2006.04746 (2020) - [i56]Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets:
Geometry-Inspired Top-k Adversarial Perturbations. CoRR abs/2006.15669 (2020) - [i55]Alexandr Katrutsa, Daniil Merkulov, Nurislam Tursynbek, Ivan V. Oseledets:
Follow the bisector: a simple method for multi-objective optimization. CoRR abs/2007.06937 (2020) - [i54]Anh Huy Phan, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Julia Gusak, Petr Tichavský, Valeriy Glukhov, Ivan V. Oseledets, Andrzej Cichocki:
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network. CoRR abs/2008.05441 (2020) - [i53]Leyla Mirvakhabova, Evgeny Frolov, Valentin Khrulkov, Ivan V. Oseledets, Alexander Tuzhilin:
Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks. CoRR abs/2008.06716 (2020) - [i52]Nurislam Tursynbek, Ilya Vilkoviskiy, Maria Sindeeva, Ivan V. Oseledets:
Adversarial Turing Patterns from Cellular Automata. CoRR abs/2011.09393 (2020) - [i51]Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets:
Robustness Threats of Differential Privacy. CoRR abs/2012.07828 (2020)
2010 – 2019
- 2019
- [j43]Maxim A. Kuznetsov, Ivan V. Oseledets:
Tensor Train Spectral Method for Learning of Hidden Markov Models (HMM). Comput. Methods Appl. Math. 19(1): 93-99 (2019) - [j42]Ekaterina A. Muravleva, Ivan V. Oseledets:
Approximate Solution of Linear Systems with Laplace-like Operators via Cross Approximation in the Frequency Domain. Comput. Methods Appl. Math. 19(1): 137-145 (2019) - [j41]Maxim V. Rakhuba, Alexander Novikov, Ivan V. Oseledets:
Low-rank Riemannian eigensolver for high-dimensional Hamiltonians. J. Comput. Phys. 396: 718-737 (2019) - [c18]Julia Gusak, Maksym Kholyavchenko, Evgeny Ponomarev, Larisa Markeeva, Philip Blagoveschensky, Andrzej Cichocki, Ivan V. Oseledets:
Automated Multi-Stage Compression of Neural Networks. ICCV Workshops 2019: 2501-2508 - [c17]Valentin Khrulkov, Oleksii Hrinchuk, Ivan V. Oseledets:
Generalized Tensor Models for Recurrent Neural Networks. ICLR (Poster) 2019 - [c16]Lily Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Akhilan Boopathy, Ivan V. Oseledets, Luca Daniel:
PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach. ICML 2019: 6727-6736 - [c15]Artem L. Pavlov, Pavel A. Karpyshev, George V. Ovchinnikov, Ivan V. Oseledets, Dzmitry Tsetserukou:
IceVisionSet: lossless video dataset collected on Russian winter roads with traffic sign annotations. ICRA 2019: 9597-9602 - [c14]Evgeny Frolov, Ivan V. Oseledets:
HybridSVD: when collaborative information is not enough. RecSys 2019: 331-339 - [i50]Pavel Temirchev, Maxim Simonov, Ruslan Kostoev, Evgeny Burnaev, Ivan V. Oseledets, Alexey Akhmetov, Andrey Margarit, Alexander Sitnikov, Dmitry A. Koroteev:
Deep Neural Networks Predicting Oil Movement in a Development Unit. CoRR abs/1901.02549 (2019) - [i49]Valentin Khrulkov, Oleksii Hrinchuk, Leyla Mirvakhabova, Ivan V. Oseledets:
Tensorized Embedding Layers for Efficient Model Compression. CoRR abs/1901.10787 (2019) - [i48]Valentin Khrulkov, Oleksii Hrinchuk, Ivan V. Oseledets:
Generalized Tensor Models for Recurrent Neural Networks. CoRR abs/1901.10801 (2019) - [i47]Alexandr Katrutsa, Ivan V. Oseledets:
Preconditioning Kaczmarz method by sketching. CoRR abs/1903.01806 (2019) - [i46]Julia Gusak, Maksym Kholyavchenko, Evgeny Ponomarev, Larisa Markeeva, Ivan V. Oseledets, Andrzej Cichocki:
One time is not enough: iterative tensor decomposition for neural network compression. CoRR abs/1903.09973 (2019) - [i45]Valentin Khrulkov, Leyla Mirvakhabova, Evgeniya Ustinova, Ivan V. Oseledets, Victor S. Lempitsky:
Hyperbolic Image Embeddings. CoRR abs/1904.02239 (2019) - [i44]Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Müller:
Intrinsic Multi-scale Evaluation of Generative Models. CoRR abs/1905.11141 (2019) - [i43]Valentin Khrulkov, Ivan V. Oseledets:
Universality Theorems for Generative Models. CoRR abs/1905.11520 (2019) - [i42]Daniil Merkulov, Ivan V. Oseledets:
Empirical study of extreme overfitting points of neural networks. CoRR abs/1906.06295 (2019) - [i41]Daria Fokina, Ekaterina A. Muravleva, George V. Ovchinnikov, Ivan V. Oseledets:
Microstructure synthesis using style-based generative adversarial network. CoRR abs/1909.07042 (2019) - [i40]Artem L. Pavlov, Azat Davletshin, Alexey Kharlamov, Maksim S. Koriukin, Artem Vasenin, Pavel Solovev, Pavel Ostyakov, Pavel A. Karpyshev, George V. Ovchinnikov, Ivan V. Oseledets, Dzmitry Tsetserukou:
Recognition of Russian traffic signs in winter conditions. Solutions of the "Ice Vision" competition winners. CoRR abs/1909.07311 (2019) - [i39]Alexandr Katrutsa, Mike A. Botchev, Ivan V. Oseledets:
Practical shift choice in the shift-and-invert Krylov subspace evaluations of the matrix exponential. CoRR abs/1909.13059 (2019) - [i38]Artem V. Chashchin, Mikhail A. Botchev, Ivan V. Oseledets, Grigory V. Ovchinnikov:
Predicting dynamical system evolution with residual neural networks. CoRR abs/1910.05233 (2019) - [i37]Talgat Daulbaev, Julia Gusak, Evgeny Ponomarev, Andrzej Cichocki, Ivan V. Oseledets:
Reduced-Order Modeling of Deep Neural Networks. CoRR abs/1910.06995 (2019) - [i36]Taras Khakhulin, Roman Schutski, Ivan V. Oseledets:
Graph Convolutional Policy for Solving Tree Decomposition via Reinforcement Learning Heuristics. CoRR abs/1910.08371 (2019) - [i35]Daria Fokina, Ivan V. Oseledets:
Growing axons: greedy learning of neural networks with application to function approximation. CoRR abs/1910.12686 (2019) - [i34]Chunfeng Cui, Kaiqi Zhang, Talgat Daulbaev, Julia Gusak, Ivan V. Oseledets, Zheng Zhang:
Active Subspace of Neural Networks: Structural Analysis and Universal Attacks. CoRR abs/1910.13025 (2019) - [i33]Roman Schutski, Danil Lykov, Ivan V. Oseledets:
An adaptive algorithm for quantum circuit simulation. CoRR abs/1911.12242 (2019) - [i32]Yermek Kapushev, Ivan V. Oseledets, Evgeny Burnaev:
Tensor Completion via Gaussian Process Based Initialization. CoRR abs/1912.05179 (2019) - 2018
- [j40]D. A. Kolesnikov, Ivan V. Oseledets:
Convergence analysis of projected fixed-point iteration on a low-rank matrix manifold. Numer. Linear Algebra Appl. 25(5) (2018) - [j39]Andrey Somov, Dmitrii G. Shadrin, Ilia Fastovets, Artyom Nikitin, Sergey A. Matveev, Ivan V. Oseledets, Oleksii Hrinchuk:
Pervasive Agriculture: IoT-Enabled Greenhouse for Plant Growth Control. IEEE Pervasive Comput. 17(4): 65-75 (2018) - [j38]Valentin Khrulkov, Ivan V. Oseledets:
Desingularization of Bounded-Rank Matrix Sets. SIAM J. Matrix Anal. Appl. 39(1): 451-471 (2018) - [j37]Ivan V. Oseledets, Maxim V. Rakhuba, André Uschmajew:
Alternating Least Squares as Moving Subspace Correction. SIAM J. Numer. Anal. 56(6): 3459-3479 (2018) - [j36]M. V. Rakhuba, Ivan V. Oseledets:
Jacobi-Davidson Method on Low-Rank Matrix Manifolds. SIAM J. Sci. Comput. 40(2) (2018) - [j35]Daria A. Sushnikova, Ivan V. Oseledets:
"Compress and Eliminate" Solver for Symmetric Positive Definite Sparse Matrices. SIAM J. Sci. Comput. 40(3) (2018) - [c13]Valentin Khrulkov, Ivan V. Oseledets:
Art of Singular Vectors and Universal Adversarial Perturbations. CVPR 2018: 8562-8570 - [c12]Valentin Khrulkov, Alexander Novikov, Ivan V. Oseledets:
Expressive power of recurrent neural networks. ICLR (Poster) 2018 - [c11]Valentin Khrulkov, Ivan V. Oseledets:
Geometry Score: A Method For Comparing Generative Adversarial Networks. ICML 2018: 2626-2634 - [c10]Artem L. Pavlov, Grigory V. Ovchinnikov, Dmitry Yu. Derbyshev, Dzmitry Tsetserukou, Ivan V. Oseledets:
AA-ICP: Iterative Closest Point with Anderson Acceleration. ICRA 2018: 1-6 - [c9]Marina Munkhoeva, Yermek Kapushev, Evgeny Burnaev, Ivan V. Oseledets:
Quadrature-based features for kernel approximation. NeurIPS 2018: 9165-9174 - [p1]Evgeny Frolov, Ivan V. Oseledets:
Matrix Factorization for Collaborative Recommendations. Collaborative Recommendations 2018: 35-78 - [i31]Alexander Novikov, Pavel Izmailov, Valentin Khrulkov, Michael Figurnov, Ivan V. Oseledets:
Tensor Train decomposition on TensorFlow (T3F). CoRR abs/1801.01928 (2018) - [i30]Valentin Khrulkov, Ivan V. Oseledets:
Geometry Score: A Method For Comparing Generative Adversarial Networks. CoRR abs/1802.02664 (2018) - [i29]Marina Munkhoeva, Yermek Kapushev, Evgeny Burnaev, Ivan V. Oseledets:
Quadrature-based features for kernel approximation. CoRR abs/1802.03832 (2018) - [i28]Evgeny Frolov, Ivan V. Oseledets:
HybridSVD: When Collaborative Information is Not Enough. CoRR abs/1802.06398 (2018) - [i27]Vitaly P. Zankin, Gleb V. Ryzhakov, Ivan V. Oseledets:
Gradient Descent-based D-optimal Design for the Least-Squares Polynomial Approximation. CoRR abs/1806.06631 (2018) - [i26]Pavel Kharyuk, Dmitry Nazarenko, Ivan V. Oseledets:
Comparative study of Discrete Wavelet Transforms and Wavelet Tensor Train decomposition to feature extraction of FTIR data of medicinal plants. CoRR abs/1807.07099 (2018) - [i25]Evgeny Frolov, Ivan V. Oseledets:
Revealing the Unobserved by Linking Collaborative Behavior and Side Knowledge. CoRR abs/1807.10634 (2018) - [i24]Pavel Kharyuk, Ivan V. Oseledets:
Modelling hidden structure of signals in group data analysis with modified (Lr, 1) and block-term decompositions. CoRR abs/1808.02316 (2018) - [i23]Anh Huy Phan, Andrzej Cichocki, Ivan V. Oseledets, Salman Ahmadi-Asl, Giuseppe Giovanni Calvi, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition. CoRR abs/1809.00535 (2018) - [i22]Sergei Divakov, Ivan V. Oseledets:
Adversarial point set registration. CoRR abs/1811.08139 (2018) - [i21]Tsui-Wei Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Ivan V. Oseledets, Luca Daniel:
PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach. CoRR abs/1812.08329 (2018) - 2017
- [j34]Vladimir A. Kazeev, Ivan V. Oseledets, Maksim Rakhuba, Christoph Schwab:
QTT-finite-element approximation for multiscale problems I: model problems in one dimension. Adv. Comput. Math. 43(2): 411-442 (2017) - [j33]Ivan V. Oseledets, G. V. Ovchinnikov, Alexandr M. Katrutsa:
Fast, memory-efficient low-rank approximation of SimRank. J. Complex Networks 5(1): 111-126 (2017) - [j32]Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Namgil Lee, Ivan V. Oseledets, Masashi Sugiyama, Danilo P. Mandic:
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives. Found. Trends Mach. Learn. 9(6): 431-673 (2017) - [j31]Grigoriy M. Drozdov, Igor A. Ostanin, Ivan V. Oseledets:
Time- and memory-efficient representation of complex mesoscale potentials. J. Comput. Phys. 343: 110-114 (2017) - [j30]Evgeny Frolov, Ivan V. Oseledets:
Tensor methods and recommender systems. WIREs Data Mining Knowl. Discov. 7(3) (2017) - [c8]Alexander Fonarev, Oleksii Hrinchuk, Gleb Gusev, Pavel Serdyukov, Ivan V. Oseledets:
Riemannian Optimization for Skip-Gram Negative Sampling. ACL (1) 2017: 2028-2036 - [c7]Alexander Novikov, Mikhail Trofimov, Ivan V. Oseledets:
Exponential Machines. ICLR (Workshop) 2017 - [i20]Valentin Khrulkov, M. V. Rakhuba, Ivan V. Oseledets:
Vico-Greengard-Ferrando quadratures in the tensor solver for integral equations. CoRR abs/1704.01669 (2017) - [i19]Alexander Fonarev, Oleksii Hrinchuk, Gleb Gusev, Pavel Serdyukov, Ivan V. Oseledets:
Riemannian Optimization for Skip-Gram Negative Sampling. CoRR abs/1704.08059 (2017) - [i18]Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Namgil Lee, Ivan V. Oseledets, Masashi Sugiyama, Danilo P. Mandic:
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives. CoRR abs/1708.09165 (2017) - [i17]Valentin Khrulkov, Ivan V. Oseledets:
Art of singular vectors and universal adversarial perturbations. CoRR abs/1709.03582 (2017) - [i16]Artem L. Pavlov, Grigory V. Ovchinnikov, Dmitry Yu. Derbyshev, Dzmitry Tsetserukou, Ivan V. Oseledets:
AA-ICP: Iterative Closest Point with Anderson Acceleration. CoRR abs/1709.05479 (2017) - [i15]Ivan Sosnovik, Ivan V. Oseledets:
Neural networks for topology optimization. CoRR abs/1709.09578 (2017) - [i14]Valentin Khrulkov, Alexander Novikov, Ivan V. Oseledets:
Expressive power of recurrent neural networks. CoRR abs/1711.00811 (2017) - 2016
- [j29]Andrzej Cichocki, Namgil Lee, Ivan V. Oseledets, Anh Huy Phan, Qibin Zhao, Danilo P. Mandic:
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions. Found. Trends Mach. Learn. 9(4-5): 249-429 (2016) - [j28]Mikhail S. Litsarev, Ivan V. Oseledets:
A low-rank approach to the computation of path integrals. J. Comput. Phys. 305: 557-574 (2016) - [j27]M. V. Rakhuba, Ivan V. Oseledets:
Grid-based electronic structure calculations: The tensor decomposition approach. J. Comput. Phys. 312: 19-30 (2016) - [j26]A. Yu. Mikhalev, Ivan V. Oseledets:
Iterative representing set selection for nested cross approximation. Numer. Linear Algebra Appl. 23(2): 230-248 (2016) - [c6]Alexander Fonarev, Alexander Mikhalev, Pavel Serdyukov, Gleb Gusev, Ivan V. Oseledets:
Efficient Rectangular Maximal-Volume Algorithm for Rating Elicitation in Collaborative Filtering. ICDM 2016: 141-150 - [c5]Evgeny Frolov, Ivan V. Oseledets:
Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks. RecSys 2016: 91-98 - [c4]Kirill Struminsky, Stanislav Kruglik, Dmitry P. Vetrov, Ivan V. Oseledets:
A new approach for sparse Bayesian channel estimation in SCMA uplink systems. WCSP 2016: 1-5 - [i13]Evgeny Frolov, Ivan V. Oseledets:
Tensor Methods and Recommender Systems. CoRR abs/1603.06038 (2016) - [i12]Daria A. Sushnikova, Ivan V. Oseledets:
"Compress and eliminate" solver for symmetric positive definite sparse matrices. CoRR abs/1603.09133 (2016) - [i11]Alexander Novikov, Mikhail Trofimov, Ivan V. Oseledets:
Tensor Train polynomial models via Riemannian optimization. CoRR abs/1605.03795 (2016) - [i10]Evgeny Frolov, Ivan V. Oseledets:
Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks. CoRR abs/1607.04228 (2016) - [i9]Andrzej Cichocki, Namgil Lee, Ivan V. Oseledets, Anh Huy Phan, Qibin Zhao, Danilo P. Mandic:
Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1. CoRR abs/1609.00893 (2016) - [i8]Alexander Fonarev, Alexander Mikhalev, Pavel Serdyukov, Gleb Gusev, Ivan V. Oseledets:
Efficient Rectangular Maximal-Volume Algorithm for Rating Elicitation in Collaborative Filtering. CoRR abs/1610.04850 (2016) - 2015
- [j25]Pierre-Antoine Absil, Ivan V. Oseledets:
Low-rank retractions: a survey and new results. Comput. Optim. Appl. 62(1): 5-29 (2015) - [j24]Mikhail S. Litsarev, Ivan V. Oseledets:
Fast low-rank approximations of multidimensional integrals in ion-atomic collisions modelling. Numer. Linear Algebra Appl. 22(6): 1147-1160 (2015) - [j23]D. A. Kolesnikov, Ivan V. Oseledets:
From Low-Rank Approximation to a Rational Krylov Subspace Method for the Lyapunov Equation. SIAM J. Matrix Anal. Appl. 36(4): 1622-1637 (2015) - [j22]Christian Lubich, Ivan V. Oseledets, Bart Vandereycken:
Time Integration of Tensor Trains. SIAM J. Numer. Anal. 53(2): 917-941 (2015) - [j21]M. V. Rakhuba, Ivan V. Oseledets:
Fast Multidimensional Convolution in Low-Rank Tensor Formats via Cross Approximation. SIAM J. Sci. Comput. 37(2) (2015) - [j20]Zheng Zhang, Xiu Yang, Ivan V. Oseledets, George E. Karniadakis, Luca Daniel:
Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(1): 63-76 (2015) - [c3]Vadim Lebedev, Yaroslav Ganin, Maksim Rakhuba, Ivan V. Oseledets, Victor S. Lempitsky:
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition. ICLR (Poster) 2015 - [i7]Ben Usman, Ivan V. Oseledets:
Tensor SimRank for Heterogeneous Information Networks. CoRR abs/1502.06818 (2015) - [i6]Ivan V. Oseledets, G. V. Ovchinnikov, Alexandr M. Katrutsa:
Linear complexity SimRank computation based on the iterative diagonal estimation. CoRR abs/1502.07167 (2015) - [i5]A. Yu. Mikhalev, Ivan V. Oseledets:
Rectangular maximum-volume submatrices and their applications. CoRR abs/1502.07838 (2015) - 2014
- [j19]Anwesha Chaudhury, Ivan V. Oseledets, Rohit Ramachandran:
A computationally efficient technique for the solution of multi-dimensional PBMs of granulation via tensor decomposition. Comput. Chem. Eng. 61: 234-244 (2014) - [j18]Mike A. Botchev, Ivan V. Oseledets, Eugene E. Tyrtyshnikov:
Iterative across-time solution of linear differential equations: Krylov subspace versus waveform relaxation. Comput. Math. Appl. 67(12): 2088-2098 (2014) - [j17]Sergey V. Dolgov, Boris N. Khoromskij, Ivan V. Oseledets, Dmitry V. Savostyanov:
Computation of extreme eigenvalues in higher dimensions using block tensor train format. Comput. Phys. Commun. 185(4): 1207-1216 (2014) - [j16]Mikhail S. Litsarev, Ivan V. Oseledets:
The DEPOSIT computer code based on the low rank approximations. Comput. Phys. Commun. 185(10): 2801-2802 (2014) - [i4]Zheng Zhang, Xiu Yang, Ivan V. Oseledets, George E. Karniadakis, Luca Daniel:
Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition. CoRR abs/1407.3023 (2014) - [i3]Ivan V. Oseledets, G. V. Ovchinnikov:
Fast, memory efficient low-rank approximation of SimRank. CoRR abs/1410.0717 (2014) - [i2]G. V. Ovchinnikov, D. A. Kolesnikov, Ivan V. Oseledets:
Algebraic reputation model RepRank and its application to spambot detection. CoRR abs/1411.5995 (2014) - 2012
- [j15]Sergei A. Goreinov, Ivan V. Oseledets, Dmitry V. Savostyanov:
Wedderburn Rank Reduction and Krylov Subspace Method for Tensor Approximation. Part 1: Tucker Case. SIAM J. Sci. Comput. 34(1) (2012) - [j14]Ivan V. Oseledets, Sergey V. Dolgov:
Solution of Linear Systems and Matrix Inversion in the TT-Format. SIAM J. Sci. Comput. 34(5) (2012) - [j13]Sergey V. Dolgov, Boris N. Khoromskij, Ivan V. Oseledets:
Fast Solution of Parabolic Problems in the Tensor Train/Quantized Tensor Train Format with Initial Application to the Fokker-Planck Equation. SIAM J. Sci. Comput. 34(6) (2012) - 2011
- [j12]Ivan V. Oseledets:
DMRG Approach to Fast Linear Algebra in the TT-Format. Comput. Methods Appl. Math. 11(3): 382-393 (2011) - [j11]Ivan V. Oseledets, Eugene E. Tyrtyshnikov, Nickolai L. Zamarashkin:
Tensor-Train Ranks for Matrices and Their Inverses. Comput. Methods Appl. Math. 11(3): 394-403 (2011) - [j10]Ivan V. Oseledets, Eugene E. Tyrtyshnikov:
Algebraic Wavelet Transform via Quantics Tensor Train Decomposition. SIAM J. Sci. Comput. 33(3): 1315-1328 (2011) - [j9]Ivan V. Oseledets:
Tensor-Train Decomposition. SIAM J. Sci. Comput. 33(5): 2295-2317 (2011) - [j8]Ivan V. Oseledets:
Improved n-Term Karatsuba-Like Formulas in GF(2). IEEE Trans. Computers 60(8): 1212-1216 (2011) - [c2]Ivan V. Oseledets:
Tensor train decomposition for low-parametric representation of high-dimensional arrays and functions: Review of recent results. nDS 2011: 1-3 - [c1]Dmitry V. Savostyanov, Ivan V. Oseledets:
Fast adaptive interpolation of multi-dimensional arrays in tensor train format. nDS 2011: 1-8 - 2010
- [j7]Boris N. Khoromskij, Ivan V. Oseledets:
Quantics-TT Collocation Approximation of Parameter-Dependent and Stochastic Elliptic PDEs. Comput. Methods Appl. Math. 10(4): 376-394 (2010) - [j6]Ivan V. Oseledets, Dmitry V. Savostyanov, Eugene E. Tyrtyshnikov:
Cross approximation in tensor electron density computations. Numer. Linear Algebra Appl. 17(6): 935-952 (2010) - [j5]Ivan V. Oseledets:
Approximation of 2d˟2d Matrices Using Tensor Decomposition. SIAM J. Matrix Anal. Appl. 31(4): 2130-2145 (2010) - [i1]Sergei A. Goreinov, Ivan V. Oseledets, Dmitry V. Savostyanov:
Wedderburn rank reduction and Krylov subspace method for tensor approximation. Part 1: Tucker case. CoRR abs/1004.1986 (2010)
2000 – 2009
- 2009
- [j4]Ivan V. Oseledets, Dmitry V. Savostyanov, Eugene E. Tyrtyshnikov:
Linear algebra for tensor problems. Computing 85(3): 169-188 (2009) - [j3]Ivan V. Oseledets, Dmitry V. Savostyanov, Eugene E. Tyrtyshnikov:
Fast Simultaneous Orthogonal Reduction to Triangular Matrices. SIAM J. Matrix Anal. Appl. 31(2): 316-330 (2009) - [j2]Ivan V. Oseledets, Eugene E. Tyrtyshnikov:
Breaking the Curse of Dimensionality, Or How to Use SVD in Many Dimensions. SIAM J. Sci. Comput. 31(5): 3744-3759 (2009) - 2008
- [j1]Ivan V. Oseledets, Dmitry V. Savostyanov, Eugene E. Tyrtyshnikov:
Tucker Dimensionality Reduction of Three-Dimensional Arrays in Linear Time. SIAM J. Matrix Anal. Appl. 30(3): 939-956 (2008)
Coauthor Index
Andrzej Cichocki
aka: Andrzej S. Cichocki
aka: Andrzej S. Cichocki
Denis Dimitrov
aka: Denis Valerievich Dimitrov
aka: Denis Valerievich Dimitrov
Georgii S. Novikov
aka: Georgii Sergeevich Novikov
aka: Georgii Sergeevich Novikov
Dmitrii G. Shadrin
aka: Dmitrii Shadrin
aka: Dmitrii Shadrin
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