List of works - Ivan Oseledets

Augmentation-Based Methodology for Enhancement of Trees Map Detalization on a Large Scale

scientific article published on 10 May 2022

Author Correction: Employing fingerprinting of medicinal plants by means of LC-MS and machine learning for species identification task

scientific article published on 08 July 2020

Author Correction: Natural Erosion of Sandstone as Shape Optimisation.

scientific article

Automatic Differentiation for Riemannian Optimization on Low-Rank Matrix and Tensor-Train Manifolds

scientific article published in 2022

Bayesian optimization for seed germination

scientific article published on 29 April 2019

Black-box learning of multigrid parameters ⬇️

scholarly article

Calculating vibrational spectra of molecules using tensor train decomposition. ⬇️

scientific article published in September 2016

Convergence analysis of projected fixed-point iteration on a low-rank matrix manifold

scientific article published on 15 March 2018

Cross Tensor Approximation Methods for Compression and Dimensionality Reduction

scientific article published in 2021

Employing fingerprinting of medicinal plants by means of LC-MS and machine learning for species identification task

scientific article published in Scientific Reports

Estimation of the Canopy Height Model From Multispectral Satellite Imagery With Convolutional Neural Networks

scientific article published on 22 March 2022

Field heterogeneity detection based on the modified FastICA RGB-image processing

scholarly article

Fifty Shades of Ratings

scientific article published on 01 September 2016

Fitting high-dimensional potential energy surface using active subspace and tensor train (AS+TT) method.

scientific article published in November 2015

Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs ⬇️

Jacobi--Davidson Method on Low-Rank Matrix Manifolds

scholarly article published in January 2018

Local convergence of alternating low‐rank optimization methods with overrelaxation

scientific article published on 02 July 2022

Low-rank Riemannian eigensolver for high-dimensional Hamiltonians

scientific article published in 2019

Microstructure synthesis using style-based generative adversarial networks

scientific article published on 01 April 2020

Natural Erosion of Sandstone as Shape Optimisation

scientific article published on 11 December 2017

PseudoAugment: Enabling Smart Checkout Adoption for New Classes Without Human Annotation

scientific article published in 2023

Quadrature-based features for kernel approximation ⬇️

Quantized Tensor FEM for Multiscale Problems: Diffusion Problems in Two and Three Dimensions

scientific article published in 2022

Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD)

scientific article published in 2021

Robust regularization of topology optimization problems with a posteriori error estimators

scholarly article

Robust topology optimization using a posteriori error estimator for the finite element method

scholarly article published on 18 April 2018

Structuring Data with Block Term Decomposition: Decomposition of Joint Tensors and Variational Block Term Decomposition as a Parametrized Mixture Distribution Model

scientific article published in 2021

Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition

scientific article published on 26 August 2019

Tensor Train Spectral Method for Learning of Hidden Markov Models (HMM)

scholarly article

Tensor-Train Decomposition

scientific article from 2011

Unifying time evolution and optimization with matrix product states ⬇️

scientific article published on 10 October 2016

Your transformer is secretly linear ⬇️

conference paper published in 2024

eco2AI: Carbon Emissions Tracking of Machine Learning Models as the First Step Towards Sustainable AI

scientific article published in 2022

List of works by Ivan Oseledets

Augmentation-Based Methodology for Enhancement of Trees Map Detalization on a Large Scale

Author Correction: Employing fingerprinting of medicinal plants by means of LC-MS and machine learning for species identification task

Author Correction: Natural Erosion of Sandstone as Shape Optimisation.

Automatic Differentiation for Riemannian Optimization on Low-Rank Matrix and Tensor-Train Manifolds

Bayesian optimization for seed germination

Black-box learning of multigrid parameters ⬇️

Calculating vibrational spectra of molecules using tensor train decomposition. ⬇️

Convergence analysis of projected fixed-point iteration on a low-rank matrix manifold

Cross Tensor Approximation Methods for Compression and Dimensionality Reduction

Employing fingerprinting of medicinal plants by means of LC-MS and machine learning for species identification task

Estimation of the Canopy Height Model From Multispectral Satellite Imagery With Convolutional Neural Networks

Field heterogeneity detection based on the modified FastICA RGB-image processing

Fifty Shades of Ratings

Fitting high-dimensional potential energy surface using active subspace and tensor train (AS+TT) method.

Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs ⬇️

Jacobi--Davidson Method on Low-Rank Matrix Manifolds

Local convergence of alternating low‐rank optimization methods with overrelaxation

Low-rank Riemannian eigensolver for high-dimensional Hamiltonians

Microstructure synthesis using style-based generative adversarial networks

Natural Erosion of Sandstone as Shape Optimisation

PseudoAugment: Enabling Smart Checkout Adoption for New Classes Without Human Annotation

Quadrature-based features for kernel approximation ⬇️

Quantized Tensor FEM for Multiscale Problems: Diffusion Problems in Two and Three Dimensions

Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD)

Robust regularization of topology optimization problems with a posteriori error estimators

Robust topology optimization using a posteriori error estimator for the finite element method

Structuring Data with Block Term Decomposition: Decomposition of Joint Tensors and Variational Block Term Decomposition as a Parametrized Mixture Distribution Model

Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition

Tensor Train Spectral Method for Learning of Hidden Markov Models (HMM)

Tensor-Train Decomposition

Unifying time evolution and optimization with matrix product states ⬇️

Your transformer is secretly linear ⬇️

eco2AI: Carbon Emissions Tracking of Machine Learning Models as the First Step Towards Sustainable AI