Ivan Oseledets
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Why Is Ivan Oseledets Influential?
(Suggest an Edit or Addition)According to Wikipedia, Ivan Oseledets is a Russian computer scientist and mathematician and professor at the Skolkovo Institute of Science and Technology. He is best known for the tensor train decomposition, which is more commonly called a matrix product state in the area of tensor networks.
Ivan Oseledets's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Tensor-Train Decomposition (2011) (1814)
- Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition (2014) (739)
- Breaking the Curse of Dimensionality, Or How to Use SVD in Many Dimensions (2009) (475)
- TT-cross approximation for multidimensional arrays (2010) (464)
- Unifying time evolution and optimization with matrix product states (2014) (346)
- Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions (2016) (340)
- Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives (2017) (224)
- How to find a good submatrix (2010) (211)
- Approximation of 2d˟2d Matrices Using Tensor Decomposition (2010) (210)
- Solution of Linear Systems and Matrix Inversion in the TT-Format (2012) (182)
- Tucker Dimensionality Reduction of Three-Dimensional Arrays in Linear Time (2008) (172)
- Neural networks for topology optimization (2017) (162)
- Time Integration of Tensor Trains (2014) (132)
- A projector-splitting integrator for dynamical low-rank approximation (2013) (129)
- Hyperbolic Image Embeddings (2019) (124)
- Computation of extreme eigenvalues in higher dimensions using block tensor train format (2013) (98)
- Fast adaptive interpolation of multi-dimensional arrays in tensor train format (2011) (98)
- Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1 (2016) (96)
- Tensor methods and recommender systems (2016) (96)
- Expressive power of recurrent neural networks (2017) (93)
- Art of Singular Vectors and Universal Adversarial Perturbations (2017) (93)
- Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition (2014) (93)
- Fast Solution of Parabolic Problems in the Tensor Train/Quantized Tensor Train Format with Initial Application to the Fokker-Planck Equation (2012) (84)
- Constructive Representation of Functions in Low-Rank Tensor Formats (2013) (81)
- Quantics-TT Collocation Approximation of Parameter-Dependent and Stochastic Elliptic PDEs (2010) (80)
- Exponential Machines (2017) (79)
- Geometry Score: A Method For Comparing Generative Adversarial Networks (2018) (77)
- DMRG Approach to Fast Linear Algebra in the TT-Format (2011) (68)
- PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach (2018) (63)
- A new tensor decomposition (2009) (54)
- Tensorized Embedding Layers for Efficient Model Compression (2019) (54)
- AA-ICP: Iterative Closest Point with Anderson Acceleration (2017) (53)
- Tensor properties of multilevel Toeplitz and related matrices (2006) (52)
- Linear algebra for tensor problems (2009) (52)
- Tensor Train decomposition on TensorFlow (T3F) (2018) (51)
- Approximation of matrices with logarithmic number of parameters (2009) (48)
- Pervasive Agriculture: IoT-Enabled Greenhouse for Plant Growth Control (2018) (47)
- Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network (2020) (44)
- Low-rank retractions: a survey and new results (2015) (44)
- Fast Multidimensional Convolution in Low-Rank Tensor Formats via Cross Approximation (2015) (44)
- QTT approximation of elliptic solution operators in higher dimensions (2011) (43)
- DMRG+QTT approach to computation of the ground state for the molecular Schrödinger operator (2010) (43)
- Quadrature-based features for kernel approximation (2018) (42)
- Algebraic Wavelet Transform via Quantics Tensor Train Decomposition (2011) (40)
- Calculating vibrational spectra of molecules using tensor train decomposition. (2016) (39)
- Approximate inversion of matrices in the process of solving a hypersingular integral equation (2005) (37)
- Rectangular maximum-volume submatrices and their applications (2015) (36)
- Deep Neural Networks Predicting Oil Movement in a Development Unit (2019) (36)
- Automated Multi-Stage Compression of Neural Networks (2019) (34)
- Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD) (2020) (33)
- Wedderburn Rank Reduction and Krylov Subspace Method for Tensor Approximation. Part 1: Tucker Case (2010) (31)
- Efficient time-stepping scheme for dynamics on TT-manifolds (2012) (31)
- Fast Toeplitz linear system inversion for solving two-dimensional acoustic inverse problem (2015) (30)
- Cross approximation in tensor electron density computations (2010) (28)
- Quantics-TT Approximation of Elliptic Solution Operators in Higher Dimensions (2009) (28)
- A computationally efficient technique for the solution of multi-dimensional PBMs of granulation via tensor decomposition (2014) (27)
- QTT-finite-element approximation for multiscale problems I: model problems in one dimension (2017) (27)
- Deep Multigrid: learning prolongation and restriction matrices (2017) (26)
- Superfast inversion of two-level Toeplitz matrices using Newton iteration and tensor-displacement structure (2007) (26)
- Fast solution of multi-dimensional parabolic problems in the TT/QTT-format with initial application to the Fokker-Planck equation (2011) (25)
- Microstructure synthesis using style-based generative adversarial network (2019) (25)
- Recursive decomposition of multidimensional tensors (2009) (24)
- Tensor-Train Ranks for Matrices and Their Inverses (2011) (24)
- A unifying approach to the construction of circulant preconditioners (2006) (24)
- HybridSVD: when collaborative information is not enough (2018) (22)
- Generalized Tensor Models for Recurrent Neural Networks (2019) (22)
- Grid-based electronic structure calculations: The tensor decomposition approach (2015) (21)
- Constructive representation of functions in tensor formats (2010) (20)
- Fast solution of multi-dimensional parabolic problems in the tensor train/quantized tensor train–format with initial application to the Fokker-Planck equation (2012) (20)
- Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition (2018) (20)
- Iterative representing set selection for nested cross approximation (2013) (19)
- Minimization methods for approximating tensors and their comparison (2006) (19)
- "Compress and eliminate" solver for symmetric positive definite sparse matrices (2016) (19)
- Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks (2020) (18)
- Hyperbolic Vision Transformers: Combining Improvements in Metric Learning (2022) (18)
- Active Subspace of Neural Networks: Structural Analysis and Universal Attacks (2019) (18)
- Employing fingerprinting of medicinal plants by means of LC-MS and machine learning for species identification task (2018) (18)
- Black-box learning of multigrid parameters (2020) (18)
- Lower bounds for separable approximations of the Hilbert kernel (2007) (17)
- The Shape of Data: Intrinsic Distance for Data Distributions (2019) (17)
- Improved n-Term Karatsuba-Like Formulas in GF(2) (2011) (17)
- FREDE: Anytime Graph Embeddings (2020) (17)
- Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks (2016) (17)
- Machine learning for LC–MS medicinal plants identification (2016) (17)
- Optimal Karatsuba-like formulae for certain bilinear forms in GF(2) (2008) (16)
- An adaptive algorithm for quantum circuit simulation (2019) (16)
- Neural-Based Hierarchical Approach for Detailed Dominant Forest Species Classification by Multispectral Satellite Imagery (2021) (15)
- Tensorized Embedding Layers (2020) (15)
- Randomized algorithms for fast computation of low rank tensor ring model (2020) (15)
- Tensor Train polynomial models via Riemannian optimization (2016) (15)
- Tensors inside of matrices give logarithmic complexity (2009) (14)
- Application of machine learning to viscoplastic flow modeling (2018) (14)
- Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs (2020) (14)
- Matrix approximations and solvers using tensor products and non-standard wavelet transforms related to irregular grids (2004) (14)
- Towards Understanding Normalization in Neural ODEs (2020) (13)
- Tensor Structured Iterative Solution of Elliptic Problems with Jumping Coefficients (2010) (13)
- Solution of the Fokker–Planck Equation by Cross Approximation Method in the Tensor Train Format (2021) (12)
- Simple heuristics for efficient parallel tensor contraction and quantum circuit simulation (2020) (12)
- Understanding DDPM Latent Codes Through Optimal Transport (2022) (12)
- Tensor-Train Density Estimation (2021) (12)
- Growing axons: greedy learning of neural networks with application to function approximation (2019) (12)
- eco2AI: Carbon Emissions Tracking of Machine Learning Models as the First Step Towards Sustainable AI (2022) (12)
- Tree Species Mapping on Sentinel-2 Satellite Imagery with Weakly Supervised Classification and Object-Wise Sampling (2021) (11)
- Natural Erosion of Sandstone as Shape Optimisation (2017) (11)
- Using Reinforcement Learning in the Algorithmic Trading Problem (2019) (11)
- IceVisionSet: lossless video dataset collected on Russian winter roads with traffic sign annotations (2019) (11)
- Riemannian Optimization for Skip-Gram Negative Sampling (2017) (10)
- MixChannel: Advanced Augmentation for Multispectral Satellite Images (2021) (10)
- TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning (2022) (10)
- Alternating Least Squares as Moving Subspace Correction (2017) (10)
- Fast Simultaneous Orthogonal Reduction to Triangular Matrices (2009) (9)
- Interpolated Adjoint Method for Neural ODEs (2020) (9)
- Cross Tensor Approximation Methods for Compression and Dimensionality Reduction (2021) (9)
- Efficient Rectangular Maximal-Volume Algorithm for Rating Elicitation in Collaborative Filtering (2016) (8)
- Approximation of Toeplitz matrices by sums of circulants and small-rank matrices (2006) (8)
- Application of Machine Learning Technologies for Rapid 3D Modelling of Inflow to the Well in the Development System (2018) (8)
- The tensor structure of the inverse of a banded Toeplitz matrix (2009) (8)
- Latent Transformations via NeuralODEs for GAN-based Image Editing (2021) (8)
- LETI: Latency Estimation Tool and Investigation of Neural Networks inference on Mobile GPU (2020) (8)
- Quantized tensor FEM for multiscale problems: diffusion problems in two and three dimensions (2020) (8)
- Low-rank Riemannian eigensolver for high-dimensional Hamiltonians (2018) (8)
- Desingularization of Bounded-Rank Matrix Sets (2016) (8)
- Disentangled Representations from Non-Disentangled Models (2021) (8)
- Jacobi-Davidson Method on Low-Rank Matrix Manifolds (2017) (8)
- Generation of the NIR Spectral Band for Satellite Images with Convolutional Neural Networks (2021) (7)
- MUSCO: Multi-Stage Compression of neural networks (2019) (7)
- Iterative across-time solution of linear differential equations: Krylov subspace versus waveform relaxation (2014) (7)
- TT-TSDF: Memory-Efficient TSDF with Low-Rank Tensor Train Decomposition (2020) (7)
- Field heterogeneity detection based on the modified FastICA RGB-image processing (2018) (7)
- Robust discretization in quantized tensor train format for elliptic problems in two dimensions (2016) (7)
- Robustness Threats of Differential Privacy (2020) (7)
- Two-phase approaches to optimal model-based design of experiments: how many experiments and which ones? (2020) (7)
- Gradient Descent-based D-optimal Design for the Least-Squares Polynomial Approximation (2018) (7)
- Robust topology optimization using a posteriori error estimator for the finite element method (2017) (6)
- A new approach for sparse Bayesian channel estimation in SCMA uplink systems (2016) (6)
- CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks (2021) (6)
- A low-rank approach to the computation of path integrals (2015) (6)
- Use of Divided Differences and B Splines for Constructing Fast Discrete Transforms of Wavelet Type on Nonuniform Grids (2005) (6)
- Tensorized Transformer for Dynamical Systems Modeling (2020) (6)
- Adaptive nested cross approximation of non-local operators (2013) (6)
- Preconditioners for hierarchical matrices based on their extended sparse form (2014) (6)
- Fast multidimensional convolution in low-rank formats via cross approximation (2014) (6)
- Fast low‐rank approximations of multidimensional integrals in ion‐atomic collisions modelling (2015) (6)
- Object-Based Augmentation for Building Semantic Segmentation: Ventura and Santa Rosa Case Study (2021) (6)
- Survey on Large Scale Neural Network Training (2022) (6)
- Machine learning methods for estimation the indicators of phosphogypsum influence in soil (2019) (6)
- Tensor Completion via Gaussian Process Based Initialization (2019) (5)
- Reduced-Order Modeling of Deep Neural Networks (2019) (5)
- Cross approximation in electron density computations∗ (2009) (5)
- Geometry-Inspired Top-k Adversarial Perturbations (2020) (5)
- Empirical Study of Extreme Overfitting Points of Neural Networks (2019) (5)
- Fitting high-dimensional potential energy surface using active subspace and tensor train (AS+TT) method. (2015) (5)
- Universality Theorems for Generative Models (2019) (4)
- Few-Bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction (2022) (4)
- Engineering Optimization With The Fast Boundary Element Method (2015) (4)
- Convergence analysis of projected fixed‐point iteration on a low‐rank matrix manifold (2016) (4)
- The tensor structure of a class of adaptive algebraic wavelet transforms (2013) (4)
- Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks (2022) (4)
- Object-Based Augmentation Improves Quality of Remote SensingSemantic Segmentation (2021) (4)
- Tensor Train Spectral Method for Learning of Hidden Markov Models (HMM) (2018) (4)
- LOW-RANK TENSOR STRUCTURE OF SOLUTIONS TO ELLIPTIC PROBLEMS WITH JUMPING COEFFICIENTS (2011) (4)
- Tensor-based multiuser detection and intra-cell interference mitigation in LTE PUCCH (2013) (4)
- Matrix inversion cases with size-independent tensor rank estimates (2009) (4)
- One time is not enough: iterative tensor decomposition for neural network compression (2019) (4)
- Survey on Efficient Training of Large Neural Networks (2022) (4)
- Sensitivity Analysis of Soil Parameters in Crop Model Supported with High-Throughput Computing (2020) (4)
- Fast orthogonalization to the kernel of the discrete gradient operator with application to Stokes problem (2010) (4)
- Adversarial Turing Patterns from Cellular Automata (2020) (4)
- The DEPOSIT computer code based on the low rank approximations (2014) (4)
- Follow the bisector: a simple method for multi-objective optimization (2020) (4)
- Scalable topology optimization with the kernel-independent fast multipole method (2017) (4)
- Deep Representation Learning for Dynamical Systems Modeling (2020) (4)
- Toward Fast Topological-Shape Optimization With Boundary Elements (2015) (3)
- Constructive TT-representation of the tensors given as index interaction functions with applications (2022) (3)
- Robust regularization of topology optimization problems with a posteriori error estimators (2017) (3)
- HybridSVD (2019) (3)
- Black box approximation in the tensor train format initialized by ANOVA decomposition (2022) (3)
- Rectangular submatrices of maximum volume and their computation (2015) (3)
- Bayesian optimization for seed germination (2019) (3)
- Fast, memory-efficient low-rank approximation of SimRank (2014) (3)
- Spectral Neural Operators (2022) (3)
- Functional Space Analysis of Local GAN Convergence (2021) (3)
- XtremeAugment: Getting More From Your Data Through Combination of Image Collection and Image Augmentation (2022) (3)
- Predicting dynamical system evolution with residual neural networks (2019) (3)
- Tensor SimRank for Heterogeneous Information Networks (2015) (3)
- FREDE: Linear-Space Anytime Graph Embeddings (2020) (3)
- Cross Tensor Approximation for Image and Video Completion (2022) (3)
- Memory-Efficient Backpropagation through Large Linear Layers (2022) (3)
- Evolutionary Structural Optimization Algorithm Based on FFT-JVIE Solver for Inverse Design of Wave Devices (2018) (3)
- Dynamic Modeling of User Preferences for Stable Recommendations (2021) (2)
- A single image deep learning approach to restoration of corrupted remote sensing products (2020) (2)
- Thermal dissociation and H/D exchange of streptavidin tetramers at atmospheric pressure (2017) (2)
- Bayesian Aggregation Improves Traditional Single-Image Crop Classification Approaches (2020) (2)
- BLACK-BOX SOLVER FOR ONE-DIMENSIONAL MULTISCALE MODELLING USING THE QTT FORMAT (2016) (2)
- FREDE (2021) (2)
- Overview of Visualization Methods for Artificial Neural Networks (2021) (2)
- Function approximation using gradient information with application to parametric and stochastic differential equations (2018) (2)
- From Low-Rank Approximation to a Rational Krylov Subspace Method for the Lyapunov Equation (2015) (2)
- Optimization of Water Quality Monitoring Networks Using Metaheuristic Approaches: Moscow Region Use Case (2021) (2)
- Approximate Solution of Linear Systems with Laplace-like Operators via Cross Approximation in the Frequency Domain (2018) (2)
- Parallel optimization with boundary elements and kernel independent fast multipole method (2017) (2)
- Optimization of Functions Given in the Tensor Train Format (2022) (2)
- Tensor networks in machine learning (2022) (2)
- T4DT: Tensorizing Time for Learning Temporal 3D Visual Data (2022) (2)
- Augmentation-Based Methodology for Enhancement of Trees Map Detalization on a Large Scale (2022) (2)
- Tensor train decomposition for low-parametric representation of high-dimensional arrays and functions: Review of recent results (2011) (2)
- Estimation of the canopy height model from multispectral satellite imagery with convolutional neural networks (2022) (2)
- Time- and memory-efficient representation of complex mesoscale potentials (2016) (1)
- Practical shift choice in the shift-and-invert Krylov subspace evaluations of the matrix exponential (2019) (1)
- A Survey of Computer Vision Techniques for Forest Characterization and Carbon Monitoring Tasks (2022) (1)
- Algebraic reputation model RepRank and its application to spambot detection (2014) (1)
- Regulation-based probabilistic substance quality index and automated geo-spatial modeling for water quality assessment (2021) (1)
- Meta-Solver for Neural Ordinary Differential Equations (2021) (1)
- Revealing the Unobserved by Linking Collaborative Behavior and Side Knowledge (2018) (1)
- Intrinsic Multi-scale Evaluation of Generative Models (2019) (1)
- NAG-GS: Semi-Implicit, Accelerated and Robust Stochastic Optimizers (2022) (1)
- Extension of Dynamic Mode Decomposition for dynamic systems with incomplete information based on t-model of optimal prediction (2022) (1)
- The integral operator with logarithmic kernel has only one positive eigenvalue (2008) (1)
- How to optimize preconditioners for the conjugate gradient method: a stochastic approach (2018) (1)
- PROTES: Probabilistic Optimization with Tensor Sampling (2023) (1)
- Fast topological-shape optimization with boundary elements in two dimensions (2017) (1)
- TT-QI: Faster Value Iteration in Tensor Train Format for Stochastic Optimal Control (2021) (1)
- Stochastic gradient algorithms from ODE splitting perspective (2020) (1)
- A New Multi-objective Approach to Optimize Irrigation Using a Crop Simulation Model and Weather History (2021) (1)
- Optimal soil sampling design based on the maxvol algorithm (2021) (1)
- Comparative study of Discrete Wavelet Transforms and Wavelet Tensor Train decomposition to feature extraction of FTIR data of medicinal plants (2018) (1)
- Recursive and Tensor-Train Decompositions in Higher Dimensions (2009) (1)
- New Applications of Matrix Methods (2021) (1)
- Learning Elimination Ordering for Tree Decomposition Problem (2020) (1)
- Integration of oscillating functions in a quasi-three-dimensional electrodynamic problem (2009) (1)
- QTT-isogeometric solver in two dimensions (2018) (1)
- Local convergence of alternating low‐rank optimization methods with overrelaxation (2021) (1)
- Tensor-based Collaborative Filtering With Smooth Ratings Scale (2022) (1)
- Graph Convolutional Policy for Solving Tree Decomposition via Reinforcement Learning Heuristics (2019) (0)
- Adversarial point set registration (2018) (0)
- A projector-splitting integrator for dynamical low-rank approximation (2013) (0)
- On the Performance of Machine Learning Methods for Breakthrough Curve Prediction (2022) (0)
- Automatic differentiation for Riemannian optimization on low-rank matrix and tensor-train manifolds (2021) (0)
- Smoothed Embeddings for Certified Few-Shot Learning (2022) (0)
- Rectangular submatrices of maximum volume and their computation (2015) (0)
- Structuring Data with Block Term Decomposition: Decomposition of Joint Tensors and Variational Block Term Decomposition as a Parametrized Mixture Distribution Model (2021) (0)
- A Single Image Deep Learning Approach to Restoration of Corrupted Landsat-7 Satellite Images (2022) (0)
- Structuring Data with Block Term Decomposition: Decomposition of Joint Tensors and Variational Block Term Decomposition as a Parametrized Mixture Distribution Model (2021) (0)
- Author Correction: Natural Erosion of Sandstone as Shape Optimisation (2018) (0)
- Classifying Tree Species in Sentinel-2 Satellite Imagery Using Convolutional Neural Networks (2020) (0)
- Fundamental Research and Developments in the Field of Applied Artificial Intelligence (2022) (0)
- Modelling hidden structure of signals in group data analysis with modified (Lr, 1) and block-term decompositions (2018) (0)
- QTT-finite-element approximation for multiscale problems I: model problems in one dimension (2016) (0)
- Multiparticle Kalman filter for object localization in symmetric environments (2023) (0)
- Efficient algorithm for finding the numerical solution ofelliptic differential equations using QTT format and z-kron (2020) (0)
- Effective tensor-based methods for the solution of high-dimensional non-stationary problems with the application to the chemical master equation (2014) (0)
- Robust topology optimization using a posteriori error estimator for the finite element method (2018) (0)
- TT-SDF2PC: Registration of Point Cloud and Compressed SDF Directly in the Memory-Efficient Tensor Train Domain (2023) (0)
- Predicting Temperature‐Dependent Activity Coefficients at Infinite Dilution Using Tensor Completion (2023) (0)
- Dataset Reduction via Bias-Variance Minimization (2021) (0)
- Numerical methods in higher dimensions using tensor factorizations (2014) (0)
- General Covariance Data Augmentation for Neural PDE Solvers (2023) (0)
- Successes and problems of machine learning (2022) (0)
- Machine learning methods for prediction of breakthrough curves in reactive porous media (2023) (0)
- Towards solving lippmann-schwinger integral equation in 2D with polylogarithmic complexity with quantized tensor train decomposition (2017) (0)
- Chapter 5: Model Reduction for High-Dimensional Parametric Problems by Tensor Techniques (2017) (0)
- Recognition of Russian traffic signs in winter conditions. Solutions of the "Ice Vision" competition winners (2019) (0)
- Low-rank retractions: a survey and new results (2014) (0)
- Simple non-extensive sparsification of the hierarchical matrices (2020) (0)
- Federated Privacy-preserving Collaborative Filtering for On-Device Next App Prediction (2023) (0)
- What Lies Beneath the Surface: Topological-Shape Optimization With the Kernel-Independent Fast Multipole Method (2016) (0)
- Numerical solution of diffraction problems using large matrix compression (2015) (0)
- Translate your gibberish: black-box adversarial attack on machine translation systems (2023) (0)
- List of Reviewers (2012) (0)
- SKIP-GRAM NEGATIVE SAMPLING (2016) (0)
- Overview of Visualization Methods for Artificial Neural Networks (2021) (0)
- Constructive Representation of Functions in Low-Rank Tensor Formats (2012) (0)
- Fast low-rank solution of the Poisson equation with application to the Stokes problem (2013) (0)
- Low rank approximations for the DEPOSIT computer code (2014) (0)
- Regularization of topology optimization problem by the FEM a posteriori error estimator (2017) (0)
- Representation of quasiseparable matrices using excluded sums and equivalent charges (2012) (0)
- Benchmark for Building Segmentation on Up-Scaled Sentinel-2 Imagery (2023) (0)
- THE FAST ALGORITHM FOR SIMULTANEOUS ORTHOGONAL REDUCTION OF MATRICES TO THE TRIANGULAR FORM (2005) (0)
- N ov 2 01 7 Rectangular maximum-volume submatrices and their applications (2017) (0)
- Employing fingerprinting of medicinal plants by means of LC-MS and machine learning for species identification task (2018) (0)
- Preconditioning Kaczmarz method by sketching (2019) (0)
- Author Correction: Employing fingerprinting of medicinal plants by means of LC-MS and machine learning for species identification task (2020) (0)
- Denoising Score Matching via Random Fourier Features (2021) (0)
- Deep Neural Networks and Adaptive Quadrature for Solving Variational Problems (2021) (0)
- A case study of spatiotemporal forecasting techniques for weather forecasting (2022) (0)
- Direct optimization of BPX preconditioners (2022) (0)
- Time stepping free numerical solution of linear differential equations: Krylov subspace versus waveform relaxation (2013) (0)
- Mitigating Human and Computer Opinion Fraud via Contrastive Learning (2023) (0)
- Matrix Factorization for Collaborative Recommendations (2018) (0)
- An event-triggered iteratively reweighted convex optimization approach to multi-period portfolio selection (2022) (0)
- TT-QI: Faster Value Iteration in Tensor Train Format for Stochastic Optimal Control (2021) (0)
- Tensor-Based Sequential Learning via Hankel Matrix Representation for Next Item Recommendations (2022) (0)
- From low-rank approximation to an efficient rational Krylov subspace method for the Lyapunov equation (2014) (0)
- FMM-Net: neural network architecture based on the Fast Multipole Method (2022) (0)
- Linear complexity SimRank computation based on the iterative diagonal estimation (2015) (0)
- Vico-Greengard-Ferrando quadratures in the tensor solver for integral equations (2017) (0)
- Simple non-extensive sparsification of the hierarchical matrices (2017) (0)
- C V ] 3 A pr 2 01 9 Hyperbolic Image Embeddings (2019) (0)
- MODEL ORDER REDUCTION IN VISCOPLASTIC FLOW MODELLING USING PROPER ORTHOGONAL DECOMPOSITION AND NEURAL NETWORKS (2018) (0)
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