Ivan V. Oseledets
Orcid: 0000-0003-2071-2163Affiliations:
- Skolkovo Institute of Science and Technology, Moscow, Russia
According to our database1,
Ivan V. Oseledets
authored at least 224 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
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on zbmath.org
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on orcid.org
On csauthors.net:
Bibliography
2024
Expert Syst. Appl., March, 2024
Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving.
CoRR, 2024
CoRR, 2024
CoRR, 2024
TQCompressor: improving tensor decomposition methods in neural networks via permutations.
CoRR, 2024
CoRR, 2024
The Shape of Learning: Anisotropy and Intrinsic Dimensions in Transformer-Based Models.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
2023
Signal Process., December, 2023
Black Box Approximation in the Tensor Train Format Initialized by ANOVA Decomposition.
SIAM J. Sci. Comput., August, 2023
Remote. Sens., May, 2023
Numer. Linear Algebra Appl., May, 2023
An event-triggered iteratively reweighted convex optimization approach to multi-period portfolio selection.
Expert Syst. Appl., April, 2023
Extension of Dynamic Mode Decomposition for dynamic systems with incomplete information based on t-model of optimal prediction.
J. Comput. Phys., March, 2023
Tensor Extrema Estimation Via Sampling: A New Approach for Determining Minimum/Maximum Elements.
Comput. Sci. Eng., 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing.
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
TT-SDF2PC: Registration of Point Cloud and Compressed SDF Directly in the Memory-Efficient Tensor Train Domain.
CoRR, 2023
Translate your gibberish: black-box adversarial attack on machine translation systems.
CoRR, 2023
Federated Privacy-preserving Collaborative Filtering for On-Device Next App Prediction.
CoRR, 2023
Machine learning methods for prediction of breakthrough curves in reactive porous media.
CoRR, 2023
PseudoAugment: Enabling Smart Checkout Adoption for New Classes Without Human Annotation.
IEEE Access, 2023
Tensor-Based Sequential Learning via Hankel Matrix Representation for Next Item Recommendations.
IEEE Access, 2023
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023
Proceedings of the 37th Pacific Asia Conference on Language, 2023
Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Feature-Based Pipeline for Improving Unsupervised Anomaly Segmentation on Medical Images.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023
Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Constructive TT-representation of the tensors given as index interaction functions with applications.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Quantized Tensor FEM for Multiscale Problems: Diffusion Problems in Two and Three Dimensions.
Multiscale Model. Simul., September, 2022
Automatic Differentiation for Riemannian Optimization on Low-Rank Matrix and Tensor-Train Manifolds.
SIAM J. Sci. Comput., 2022
A Single Image Deep Learning Approach to Restoration of Corrupted Landsat-7 Satellite Images.
Sensors, 2022
Bayesian Aggregation Improves Traditional Single-Image Crop Classification Approaches.
Sensors, 2022
A Survey of Computer Vision Techniques for Forest Characterization and Carbon Monitoring Tasks.
Remote. Sens., 2022
Augmentation-Based Methodology for Enhancement of Trees Map Detalization on a Large Scale.
Remote. Sens., 2022
CoRR, 2022
Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI.
CoRR, 2022
Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks.
CoRR, 2022
CoRR, 2022
XtremeAugment: Getting More From Your Data Through Combination of Image Collection and Image Augmentation.
IEEE Access, 2022
Estimation of the Canopy Height Model From Multispectral Satellite Imagery With Convolutional Neural Networks.
IEEE Access, 2022
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Neural-Based Hierarchical Approach for Detailed Dominant Forest Species Classification by Multispectral Satellite Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Generation of the NIR Spectral Band for Satellite Images with Convolutional Neural Networks.
Sensors, 2021
Remote. Sens., 2021
Mach. Learn. Sci. Technol., 2021
Solution of the Fokker-Planck Equation by Cross Approximation Method in the Tensor Train Format.
Frontiers Artif. Intell., 2021
CoRR, 2021
Latency Estimation Tool and Investigation of Neural Networks Inference on Mobile GPU.
Comput., 2021
Two-phase approaches to optimal model-based design of experiments: how many experiments and which ones?
Comput. Chem. Eng., 2021
IEEE Access, 2021
Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD).
IEEE Access, 2021
Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the Large-Scale Scientific Computing - 13th International Conference, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Object-Based Augmentation for Building Semantic Segmentation: Ventura and Santa Rosa Case Study.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
A New Multi-objective Approach to Optimize Irrigation Using a Crop Simulation Model and Weather History.
Proceedings of the Computational Science - ICCS 2021, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition.
IEEE Trans. Neural Networks Learn. Syst., 2020
SIAM J. Math. Data Sci., 2020
SIAM J. Sci. Comput., 2020
Simple heuristics for efficient parallel tensor contraction and quantum circuit simulation.
CoRR, 2020
A single image deep learning approach to restoration of corrupted remote sensing products.
CoRR, 2020
Bayesian aggregation improves traditional single image crop classification approaches.
CoRR, 2020
Randomized Algorithms for Computation of Tucker decomposition and Higher Order SVD (HOSVD).
CoRR, 2020
Adv. Comput. Math., 2020
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Sensitivity Analysis of Soil Parameters in Crop Model Supported with High-Throughput Computing.
Proceedings of the Computational Science - ICCS 2020, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Stable Low-Rank Tensor Decomposition for Compression of Convolutional Neural Network.
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
J. Comput. Phys., 2019
Growing axons: greedy learning of neural networks with application to function approximation.
CoRR, 2019
Graph Convolutional Policy for Solving Tree Decomposition via Reinforcement Learning Heuristics.
CoRR, 2019
Practical shift choice in the shift-and-invert Krylov subspace evaluations of the matrix exponential.
CoRR, 2019
Recognition of Russian traffic signs in winter conditions. Solutions of the "Ice Vision" competition winners.
CoRR, 2019
CoRR, 2019
One time is not enough: iterative tensor decomposition for neural network compression.
CoRR, 2019
Approximate Solution of Linear Systems with Laplace-like Operators via Cross Approximation in the Frequency Domain.
Comput. Methods Appl. Math., 2019
Comput. Methods Appl. Math., 2019
Proceedings of the 13th ACM Conference on Recommender Systems, 2019
IceVisionSet: lossless video dataset collected on Russian winter roads with traffic sign annotations.
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
2018
SIAM J. Sci. Comput., 2018
IEEE Pervasive Comput., 2018
Convergence analysis of projected fixed-point iteration on a low-rank matrix manifold.
Numer. Linear Algebra Appl., 2018
CoRR, 2018
Modelling hidden structure of signals in group data analysis with modified (Lr, 1) and block-term decompositions.
CoRR, 2018
CoRR, 2018
Comparative study of Discrete Wavelet Transforms and Wavelet Tensor Train decomposition to feature extraction of FTIR data of medicinal plants.
CoRR, 2018
Gradient Descent-based D-optimal Design for the Least-Squares Polynomial Approximation.
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the Collaborative Recommendations, 2018
2017
J. Comput. Phys., 2017
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives.
Found. Trends Mach. Learn., 2017
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives.
CoRR, 2017
CoRR, 2017
QTT-finite-element approximation for multiscale problems I: model problems in one dimension.
Adv. Comput. Math., 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2016
Numer. Linear Algebra Appl., 2016
J. Comput. Phys., 2016
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions.
Found. Trends Mach. Learn., 2016
Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1.
CoRR, 2016
Proceedings of the 8th International Conference on Wireless Communications & Signal Processing, 2016
Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016
Efficient Rectangular Maximal-Volume Algorithm for Rating Elicitation in Collaborative Filtering.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
2015
Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2015
Fast Multidimensional Convolution in Low-Rank Tensor Formats via Cross Approximation.
SIAM J. Sci. Comput., 2015
From Low-Rank Approximation to a Rational Krylov Subspace Method for the Lyapunov Equation.
SIAM J. Matrix Anal. Appl., 2015
Fast low-rank approximations of multidimensional integrals in ion-atomic collisions modelling.
Numer. Linear Algebra Appl., 2015
CoRR, 2015
Proceedings of the 3rd International Conference on Learning Representations, 2015
2014
Comput. Phys. Commun., 2014
Computation of extreme eigenvalues in higher dimensions using block tensor train format.
Comput. Phys. Commun., 2014
CoRR, 2014
Iterative across-time solution of linear differential equations: Krylov subspace versus waveform relaxation.
Comput. Math. Appl., 2014
A computationally efficient technique for the solution of multi-dimensional PBMs of granulation via tensor decomposition.
Comput. Chem. Eng., 2014
2012
SIAM J. Sci. Comput., 2012
Wedderburn Rank Reduction and Krylov Subspace Method for Tensor Approximation. Part 1: Tucker Case.
SIAM J. Sci. Comput., 2012
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., 2012
2011
SIAM J. Sci. Comput., 2011
Comput. Methods Appl. Math., 2011
Comput. Methods Appl. Math., 2011
Proceedings of the 7th International Workshop on Multidimensional (nD) Systems, 2011
Tensor train decomposition for low-parametric representation of high-dimensional arrays and functions: Review of recent results.
Proceedings of the 7th International Workshop on Multidimensional (nD) Systems, 2011
2010
SIAM J. Matrix Anal. Appl., 2010
Numer. Linear Algebra Appl., 2010
Quantics-TT Collocation Approximation of Parameter-Dependent and Stochastic Elliptic PDEs.
Comput. Methods Appl. Math., 2010
2009
SIAM J. Sci. Comput., 2009
SIAM J. Matrix Anal. Appl., 2009
2008
SIAM J. Matrix Anal. Appl., 2008