Sergey Dolgov - RankMe

51 papers Journal 49Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Alternating steepest descent methods for tensor completion with applications to spectromicroscopy. CoRR Oliver Townsend, Sergey Dolgov, Silvia Gazzola, Misha Elena Kilmer
2025	J	`jnl`	Smoothed Moreau-Yosida Tensor-Train Approximation of State-Constrained Optimization Problems Under Uncertainty. Numer. Linear Algebra Appl. Harbir Antil, Sergey Dolgov, Akwum Onwunta
2025	J	`jnl`	Tensor cross interpolation for global discrete optimization with application to Bayesian network inference. CoRR Sergey Dolgov, Dmitry V. Savostyanov
2024	J	`jnl`	Deep Importance Sampling Using Tensor Trains with Application to a Priori and a Posteriori Rare Events. SIAM J. Sci. Comput. Tiangang Cui, Sergey Dolgov, Robert Scheichl
2024	—	`conf`	TQCompressor: Improving Tensor Decomposition Methods in Neural Networks Via Permutations. MIPR Vadim Abronin, Aleksei Naumov, Denis Mazur, Dmitriy Bystrov, Katerina Tsarova, Artem Melnikov, Sergey Dolgov, Reuben Brasher, Michael Perelshtein
2024	J	`jnl`	TQCompressor: improving tensor decomposition methods in neural networks via permutations. CoRR Vadim Abronin, Aleksei Naumov, Denis Mazur, Dmitriy Bystrov, Katerina Tsarova, Artem Melnikov, Ivan V. Oseledets, Sergey Dolgov, Reuben Brasher, Michael Perelshtein
2024	J	`jnl`	Tensor product algorithms for inference of contact network from epidemiological data. BMC Bioinform. Sergey Dolgov, Dmitry V. Savostyanov
2024	J	`jnl`	Tensor product algorithms for inference of contact network from epidemiological data. CoRR Sergey Dolgov, Dmitry V. Savostyanov
2024	J	`jnl`	Tensor product approach to modelling epidemics on networks. Appl. Math. Comput. Sergey Dolgov, Dmitry V. Savostyanov
2024	J	`jnl`	Tensor train solution to uncertain optimization problems with shared sparsity penalty. CoRR Harbir Antil, Sergey Dolgov, Akwum Onwunta
2023	J	`jnl`	A weighted subspace exponential kernel for support tensor machines. CoRR Kirandeep Kour, Sergey Dolgov, Peter Benner, Martin Stoll, Max Pfeffer
2023	J	`jnl`	Data-Driven Tensor Train Gradient Cross Approximation for Hamilton-Jacobi-Bellman Equations. SIAM J. Sci. Comput. Sergey Dolgov, Dante Kalise, Luca Saluzzi
2023	J	`jnl`	Efficient Structure-preserving Support Tensor Train Machine. J. Mach. Learn. Res. Kirandeep Kour, Sergey Dolgov, Martin Stoll, Peter Benner
2023	J	`jnl`	Numerical solution of the incompressible Navier-Stokes equations for chemical mixers via quantum-inspired Tensor Train Finite Element Method. CoRR Egor Kornev, Sergey Dolgov, Karan Pinto, Markus Pflitsch, Michael Perelshtein, Artem Melnikov
2023	J	`jnl`	Scalable conditional deep inverse Rosenblatt transports using tensor trains and gradient-based dimension reduction. J. Comput. Phys. Tiangang Cui, Sergey Dolgov, Olivier Zahm
2023	J	`jnl`	Self-reinforced polynomial approximation methods for concentrated probability densities. CoRR Tiangang Cui, Sergey Dolgov, Olivier Zahm
2023	J	`jnl`	State-constrained Optimization Problems under Uncertainty: A Tensor Train Approach. CoRR Harbir Antil, Sergey Dolgov, Akwum Onwunta
2023	J	`jnl`	Statistical Proper Orthogonal Decomposition for model reduction in feedback control. CoRR Sergey Dolgov, Dante Kalise, Luca Saluzzi
2023	J	`jnl`	TTRISK: Tensor train decomposition algorithm for risk averse optimization. Numer. Linear Algebra Appl. Harbir Antil, Sergey Dolgov, Akwum Onwunta
2022	J	`jnl`	A quantum-inspired approach to exploit turbulence structures. Nat. Comput. Sci. Nikita Gourianov, Michael Lubasch, Sergey Dolgov, Quincy Y. van den Berg, Hessam Babaee, Peyman Givi, Martin Kiffner, Dieter Jaksch
2022	J	`jnl`	Data-driven Tensor Train Gradient Cross Approximation for Hamilton-Jacobi-Bellman Equations. CoRR Sergey Dolgov, Dante Kalise, Luca Saluzzi
2022	J	`jnl`	Deep Composition of Tensor-Trains Using Squared Inverse Rosenblatt Transports. Found. Comput. Math. Tiangang Cui, Sergey Dolgov
2022	J	`jnl`	Deep importance sampling using tensor-trains with application to a priori and a posteriori rare event estimation. CoRR Tiangang Cui, Sergey Dolgov, Robert Scheichl
2022	J	`jnl`	Optimizing semilinear representations for State-dependent Riccati Equation-based feedback control. CoRR Sergey Dolgov, Dante Kalise, Luca Saluzzi
2022	J	`jnl`	Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format. SIAM/ASA J. Uncertain. Quantification Paul B. Rohrbach, Sergey Dolgov, Lars Grasedyck, Robert Scheichl
2022	J	`jnl`	Undersampling Raster Scans in Spectromicroscopy for reduced dose and faster measurements. CoRR Oliver Townsend, Silvia Gazzola, Sergey Dolgov, Paul Quinn
2021	J	`jnl`	Conditional Deep Inverse Rosenblatt Transports. CoRR Tiangang Cui, Sergey Dolgov, Olivier Zahm
2021	J	`jnl`	Functional Tucker Approximation Using Chebyshev Interpolation. SIAM J. Sci. Comput. Sergey Dolgov, Daniel Kressner, Christoph Strössner
2021	J	`jnl`	TTRISK: Tensor Train Decomposition Algorithm for Risk Averse Optimization. CoRR Harbir Antil, Sergey Dolgov, Akwum Onwunta
2021	J	`jnl`	Tensor Decomposition Methods for High-dimensional Hamilton-Jacobi-Bellman Equations. SIAM J. Sci. Comput. Sergey Dolgov, Dante Kalise, Karl Kunisch
2020	J	`jnl`	A Low-Rank Tensor Method for PDE-Constrained Optimization with Isogeometric Analysis. SIAM J. Sci. Comput. Alexandra Bünger, Sergey Dolgov, Martin Stoll
2020	J	`jnl`	Approximation and sampling of multivariate probability distributions in the tensor train decomposition. Stat. Comput. Sergey Dolgov, Karim Anaya-Izquierdo, Colin Fox, Robert Scheichl
2020	J	`jnl`	Deep Composition of Tensor Trains using Squared Inverse Rosenblatt Transports. CoRR Tiangang Cui, Sergey Dolgov
2020	J	`jnl`	Efficient Structure-preserving Support Tensor Train Machine. CoRR Kirandeep Kour, Sergey Dolgov, Martin Stoll, Peter Benner
2020	J	`jnl`	Functional Tucker approximation using Chebyshev interpolation. CoRR Sergey Dolgov, Daniel Kressner, Christoph Strössner
2020	J	`jnl`	Parallel cross interpolation for high-precision calculation of high-dimensional integrals. Comput. Phys. Commun. Sergey Dolgov, Dmitry V. Savostyanov
2020	J	`jnl`	Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format. CoRR Paul B. Rohrbach, Sergey Dolgov, Lars Grasedyck, Robert Scheichl
2019	J	`jnl`	A Hybrid Alternating Least Squares-TT-Cross Algorithm for Parametric PDEs. SIAM/ASA J. Uncertain. Quantification Sergey Dolgov, Robert Scheichl
2019	J	`jnl`	A Tensor Decomposition Approach for High-Dimensional Hamilton-Jacobi-Bellman Equations. CoRR Sergey Dolgov, Dante Kalise, Karl Kunisch
2019	J	`jnl`	Preconditioners and Tensor Product Solvers for Optimal Control Problems from Chemotaxis. SIAM J. Sci. Comput. Sergey Dolgov, John W. Pearson
2019	J	`jnl`	Solving differential Riccati equations: A nonlinear space-time method using tensor trains. CoRR Tobias Breiten, Sergey Dolgov, Martin Stoll
2018	J	`jnl`	Direct tensor-product solution of one-dimensional elliptic equations with parameter-dependent coefficients. Math. Comput. Simul. Sergey Dolgov, Vladimir A. Kazeev, Boris N. Khoromskij
2017	J	`jnl`	Fast iterative solution of the Bethe-Salpeter eigenvalue problem using low-rank and QTT tensor approximation. J. Comput. Phys. Peter Benner, Sergey Dolgov, Venera Khoromskaia, Boris N. Khoromskij
2017	J	`jnl`	Low-Rank Solution to an Optimization Problem Constrained by the Navier-Stokes Equations. SIAM J. Sci. Comput. Sergey Dolgov, Martin Stoll
2016	J	`jnl`	Erratum: Two-Level QTT-Tucker Format for Optimized Tensor Calculus. SIAM J. Matrix Anal. Appl. Simon Etter, Sergey Dolgov, Boris N. Khoromskij
2016	J	`jnl`	Fast tensor product solvers for optimization problems with fractional differential equations as constraints. Appl. Math. Comput. Sergey Dolgov, John W. Pearson, Dmitry V. Savostyanov, Martin Stoll
2015	J	`jnl`	Polynomial Chaos Expansion of Random Coefficients and the Solution of Stochastic Partial Differential Equations in the Tensor Train Format. SIAM/ASA J. Uncertain. Quantification Sergey Dolgov, Boris N. Khoromskij, Alexander Litvinenko, Hermann G. Matthies
2015	J	`jnl`	Simultaneous state-time approximation of the chemical master equation using tensor product formats. Numer. Linear Algebra Appl. Sergey Dolgov, Boris N. Khoromskij
2014	J	`jnl`	Alternating Minimal Energy Methods for Linear Systems in Higher Dimensions. SIAM J. Sci. Comput. Sergey Dolgov, Dmitry V. Savostyanov
2013	—	`conf`	Corrected One-Site Density Matrix Renormalization Group and Alternating Minimal Energy Algorithm. ENUMATH Sergey Dolgov, Dmitry V. Savostyanov
2013	J	`jnl`	Two-Level QTT-Tucker Format for Optimized Tensor Calculus. SIAM J. Matrix Anal. Appl. Sergey Dolgov, Boris N. Khoromskij