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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
- 2023
[j78]Evgeny Frolov
, Ivan V. Oseledets:
Tensor-Based Sequential Learning via Hankel Matrix Representation for Next Item Recommendations. IEEE Access 11: 6357-6371 (2023)- [j77]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) - [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) - [c47]Olga Tsymboi, Danil Malaev, Andrei Petrovskii, Ivan V. Oseledets:
Layerwise universal adversarial attack on NLP models. ACL (Findings) 2023: 129-143 - [c46]Valentin Khrulkov, Gleb V. Ryzhakov, Andrei Chertkov, Ivan V. Oseledets:
Understanding DDPM Latent Codes Through Optimal Transport. ICLR 2023 - [c45]Gleb V. Ryzhakov, Ivan V. Oseledets:
Constructive TT-representation of the tensors given as index interaction functions with applications. ICLR 2023 - [c44]Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan V. Oseledets:
General Covariance Data Augmentation for Neural PDE Solvers. ICML 2023: 9665-9688 - [c43]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 - [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 - [i122]Yuliya Tukmacheva, Ivan V. Oseledets, Evgeny Frolov:
Mitigating Human and Computer Opinion Fraud via Contrastive Learning. CoRR abs/2301.03025 (2023) - [i121]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) - [i120]Anastasia Batsheva, Andrei Chertkov, Gleb V. Ryzhakov, Ivan V. Oseledets:
PROTES: Probabilistic Optimization with Tensor Sampling. CoRR abs/2301.12162 (2023) - [i119]Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan V. Oseledets:
General Covariance Data Augmentation for Neural PDE Solvers. CoRR abs/2301.12730 (2023) - [i118]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) - [i117]Roman Korkin, Ivan V. Oseledets, Aleksandr Katrutsa:
Multiparticle Kalman filter for object localization in symmetric environments. CoRR abs/2303.07897 (2023) - [i116]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) - [i115]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) - [i114]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) - [i113]Marina Munkhoeva, Ivan V. Oseledets:
Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning. CoRR abs/2305.19818 (2023) - [i112]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) - [i111]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) - [i110]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) - [i109]Egor Sevriugov, Ivan V. Oseledets:
Robust GAN inversion. CoRR abs/2308.16510 (2023) - [i108]Egor Sevriugov, Ivan V. Oseledets:
Unsupervised evaluation of GAN sample quality: Introducing the TTJac Score. CoRR abs/2309.00107 (2023) - [i107]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) - 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,