January 01, 2011 article Tensor-Train Decomposition SIAM Journal on Scientific Computing DOI: 10.1137/090752286 OpenAlex Authors 0 Author list not loaded yet. Cited by 19 stored of 2,723 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Quantum generative modeling for financial time series with temporal correlations 2026 Machine Learning Science and Technology article Computer Science Quantum Computing Algorithms and Architecture Open access 3 citations Dynamical low-rank tensor approximations to high-dimensional parabolic problems: existence and convergence of spatial discretizations 2025 Numerische Mathematik article Mathematics Tensor decomposition and applications Open access 1 citations Tensor Train Optimization for Conformational Sampling of Organic Molecules 2025 Journal of Chemical Theory and Computation article Physics and Astronomy Advanced Chemical Physics Studies 7 citations A Comparison Study of Supervised Learning Techniques for the Approximation of High Dimensional Functions and Feedback Control 2024 Dynamic Games and Applications article Computer Science Adaptive Dynamic Programming Control Open access 2 citations Efficient MPS representations and quantum circuits from the Fourier modes of classical image data 2024 Quantum article Computer Science Quantum Computing Algorithms and Architecture Open access 13 citations Taming numerical imprecision by adapting the KL divergence to negative probabilities 2024 Statistics and Computing article Physics and Astronomy Statistical Mechanics and Entropy Open access 4 citations Mini-Workshop: Nonlinear Approximation of High-dimensional Functions in Scientific Computing 2024 Oberwolfach Reports article Mathematics Mathematical Approximation and Integration Open access 0 citations Taming numerical imprecision by adapting the KL divergence to negative probabilities 2024 Research Square preprint Physics and Astronomy Statistical Mechanics and Entropy Open access 0 citations Reconstructing Disease Histories in Huge Discrete State Spaces 2024 Künstliche Intell. article Computer Science Bayesian Modeling and Causal Inference Open access 11 citations Low-rank tensor methods for partial differential equations 2023 Acta Numerica article Mathematics Tensor decomposition and applications Open access 42 citations Numerical upscaling of parametric microstructures in a possibilistic uncertainty framework with tensor trains 2022 Computational Mechanics article Decision Sciences Probabilistic and Robust Engineering Design Open access 1 citations Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format 2022 SIAM/ASA Journal on Uncertainty Quantification article Mathematics Tensor decomposition and applications Open access 20 citations Computing f‐divergences and distances of high‐dimensional probability density functions 2022 Numerical Linear Algebra with Applications article Mathematics Tensor decomposition and applications Open access 5 citations Asymptotic Log-Det Sum-of-Ranks Minimization via Tensor (Alternating) Iteratively Reweighted Least Squares 2021 arXiv (Cornell University) preprint Engineering Sparse and Compressive Sensing Techniques Open access 1 citations Computing f-Divergences and Distances of High-Dimensional Probability Density Functions -- Low-Rank Tensor Approximations 2021 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access 0 citations Tensor theta norms and low rank recovery 2020 Numerical Algorithms article Engineering Sparse and Compressive Sensing Techniques Open access 17 citations A two-stage surrogate model for Neo-Hookean problems based on adaptive proper orthogonal decomposition and hierarchical tensor approximation 2020 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks 18 citations A parameter-dependent smoother for the multigrid method 2020 arXiv (Cornell University) preprint Engineering Advanced Numerical Methods in Computational Mathematics Open access 0 citations Iterative algorithms for the post-processing of high-dimensional data 2020 Journal of Computational Physics article Mathematics Tensor decomposition and applications 12 citations 19 results References 0