Sergey V. Dolgov
Orcid: 0000-0002-1647-4214
According to our database1,
Sergey V. Dolgov
authored at least 46 papers
between 2012 and 2024.
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Online presence:
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on orcid.org
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Bibliography
2024
Tensor product algorithms for inference of contact network from epidemiological data.
BMC Bioinform., December, 2024
Deep Importance Sampling Using Tensor Trains with Application to a Priori and a Posteriori Rare Events.
SIAM J. Sci. Comput., February, 2024
Appl. Math. Comput., January, 2024
Tensor train solution to uncertain optimization problems with shared sparsity penalty.
CoRR, 2024
TQCompressor: improving tensor decomposition methods in neural networks via permutations.
CoRR, 2024
TQCompressor: Improving Tensor Decomposition Methods in Neural Networks Via Permutations.
Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024
2023
Data-Driven Tensor Train Gradient Cross Approximation for Hamilton-Jacobi-Bellman Equations.
SIAM J. Sci. Comput., October, 2023
Numer. Linear Algebra Appl., May, 2023
J. Mach. Learn. Res., 2023
Scalable conditional deep inverse Rosenblatt transports using tensor trains and gradient-based dimension reduction.
J. Comput. Phys., 2023
CoRR, 2023
Numerical solution of the incompressible Navier-Stokes equations for chemical mixers via quantum-inspired Tensor Train Finite Element Method.
CoRR, 2023
Self-reinforced polynomial approximation methods for concentrated probability densities.
CoRR, 2023
CoRR, 2023
2022
SIAM/ASA J. Uncertain. Quantification, March, 2022
Nat. Comput. Sci., 2022
Found. Comput. Math., 2022
Deep importance sampling using tensor-trains with application to a priori and a posteriori rare event estimation.
CoRR, 2022
Undersampling Raster Scans in Spectromicroscopy for reduced dose and faster measurements.
CoRR, 2022
Optimizing semilinear representations for State-dependent Riccati Equation-based feedback control.
CoRR, 2022
2021
SIAM J. Sci. Comput., 2021
SIAM J. Sci. Comput., 2021
2020
A Low-Rank Tensor Method for PDE-Constrained Optimization with Isogeometric Analysis.
SIAM J. Sci. Comput., 2020
Approximation and sampling of multivariate probability distributions in the tensor train decomposition.
Stat. Comput., 2020
Parallel cross interpolation for high-precision calculation of high-dimensional integrals.
Comput. Phys. Commun., 2020
2019
Preconditioners and Tensor Product Solvers for Optimal Control Problems from Chemotaxis.
SIAM J. Sci. Comput., 2019
SIAM/ASA J. Uncertain. Quantification, 2019
Solving differential Riccati equations: A nonlinear space-time method using tensor trains.
CoRR, 2019
A Tensor Decomposition Approach for High-Dimensional Hamilton-Jacobi-Bellman Equations.
CoRR, 2019
Comput. Methods Appl. Math., 2019
2018
Direct tensor-product solution of one-dimensional elliptic equations with parameter-dependent coefficients.
Math. Comput. Simul., 2018
2017
Low-Rank Solution to an Optimization Problem Constrained by the Navier-Stokes Equations.
SIAM J. Sci. Comput., 2017
Fast iterative solution of the Bethe-Salpeter eigenvalue problem using low-rank and QTT tensor approximation.
J. Comput. Phys., 2017
2016
SIAM J. Matrix Anal. Appl., 2016
Fast tensor product solvers for optimization problems with fractional differential equations as constraints.
Appl. Math. Comput., 2016
2015
Simultaneous state-time approximation of the chemical master equation using tensor product formats.
Numer. Linear Algebra Appl., 2015
Polynomial Chaos Expansion of Random Coefficients and the Solution of Stochastic Partial Differential Equations in the Tensor Train Format.
SIAM/ASA J. Uncertain. Quantification, 2015
2014
SIAM J. Sci. Comput., 2014
Low-rank approximation in the numerical modeling of the Farley-Buneman instability in ionospheric plasma.
J. Comput. Phys., 2014
Computation of extreme eigenvalues in higher dimensions using block tensor train format.
Comput. Phys. Commun., 2014
2013
SIAM J. Matrix Anal. Appl., 2013
Corrected One-Site Density Matrix Renormalization Group and Alternating Minimal Energy Algorithm.
Proceedings of the Numerical Mathematics and Advanced Applications - ENUMATH 2013, 2013
2012
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