Alexander Litvinenko

According to our database, Alexander Litvinenko authored at least 25 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Uncertainty quantification in the Henry problem using the multilevel Monte Carlo method.

Dmitry Logashenko, Alexander Litvinenko, Raúl Tempone, Ekaterina Vasilyeva, Gabriel Wittum

J. Comput. Phys., 2024

Estimation of uncertainties in the density driven flow in fractured porous media using MLMC.

Dmitry Logashenko, Alexander Litvinenko, Raúl Tempone, Gabriel Wittum

CoRR, 2024

2023

Computing f -divergences and distances of high-dimensional probability density functions.

Alexander Litvinenko, Youssef M. Marzouk, Hermann G. Matthies, Marco Scavino, Alessio Spantini

Numer. Linear Algebra Appl., May, 2023

Uncertainty quantification in coastal aquifers using the multilevel Monte Carlo method.

Alexander Litvinenko, Dmitry Logashenko, Raúl Tempone, Ekaterina Vasilyeva, Gabriel Wittum

CoRR, 2023

2021

Computing f-Divergences and Distances of High-Dimensional Probability Density Functions - Low-Rank Tensor Approximations.

Alexander Litvinenko, Youssef M. Marzouk, Hermann G. Matthies, Marco Scavino, Alessio Spantini

CoRR, 2021

Identification of unknown parameters and prediction with hierarchical matrices.

Alexander Litvinenko, Ronald Kriemann, Vladimir B. Berikov

CoRR, 2021

Solving weakly supervised regression problem using low-rank manifold regularization.

Vladimir B. Berikov, Alexander Litvinenko

CoRR, 2021

Weakly Supervised Regression Using Manifold Regularization and Low-Rank Matrix Representation.

Vladimir B. Berikov, Alexander Litvinenko

Proceedings of the Mathematical Optimization Theory and Operations Research, 2021

On a Weakly Supervised Classification Problem.

Vladimir B. Berikov, Alexander Litvinenko, Igor Pestunov, Yuriy Sinyavskiy

Proceedings of the Analysis of Images, Social Networks and Texts, 2021

2020

Iterative algorithms for the post-processing of high-dimensional data.

Mike Espig, Wolfgang Hackbusch, Alexander Litvinenko, Hermann G. Matthies, Elmar Zander

J. Comput. Phys., 2020

2019

Likelihood approximation with hierarchical matrices for large spatial datasets.

Alexander Litvinenko, Ying Sun, Marc G. Genton, David E. Keyes

Comput. Stat. Data Anal., 2019

Post-Processing of High-Dimensional Data.

Mike Espig, Wolfgang Hackbusch, Alexander Litvinenko, Hermann G. Matthies, Elmar Zander

CoRR, 2019

Solution of the 3D density-driven groundwater flow problem with uncertain porosity and permeability.

Alexander Litvinenko, Dmitriy Logashenko, Raúl Tempone, Gabriel Wittum, David E. Keyes

CoRR, 2019

Semi-Supervised Regression using Cluster Ensemble and Low-Rank Co-Association Matrix Decomposition under Uncertainties.

Vladimir B. Berikov, Alexander Litvinenko

CoRR, 2019

Tucker Tensor Analysis of Matérn Functions in Spatial Statistics.

Alexander Litvinenko, David E. Keyes, Venera Khoromskaia, Boris N. Khoromskij, Hermann G. Matthies

Comput. Methods Appl. Math., 2019

2017

Quantification of Airfoil Geometry-Induced Aerodynamic Uncertainties - Comparison of Approaches.

Dishi Liu, Alexander Litvinenko, Claudia Schillings, Volker Schulz

SIAM/ASA J. Uncertain. Quantification, 2017

2016

Parameter estimation via conditional expectation: a Bayesian inversion.

Hermann G. Matthies, Elmar Zander, Bojana V. Rosic, Alexander Litvinenko

Adv. Model. Simul. Eng. Sci., 2016

2015

Polynomial Chaos Expansion of Random Coefficients and the Solution of Stochastic Partial Differential Equations in the Tensor Train Format.

Sergey Dolgov, Boris N. Khoromskij, Alexander Litvinenko, Hermann G. Matthies

SIAM/ASA J. Uncertain. Quantification, 2015

2014

To Be or Not to Be Intrusive? The Solution of Parametric and Stochastic Equations - the "Plain Vanilla" Galerkin Case.

Loïc Giraldi, Alexander Litvinenko, Dishi Liu, Hermann G. Matthies, Anthony Nouy

SIAM J. Sci. Comput., 2014

Efficient low-rank approximation of the stochastic Galerkin matrix in tensor formats.

Mike Espig, Wolfgang Hackbusch, Alexander Litvinenko, Hermann G. Matthies, Philipp Wähnert

Comput. Math. Appl., 2014

2012

Sampling-free linear Bayesian update of polynomial chaos representations.

Bojana V. Rosic, Alexander Litvinenko, Oliver Pajonk, Hermann G. Matthies

J. Comput. Phys., 2012

Parameter Identification in a Probabilistic Setting

Bojana V. Rosic, Anna Kucerová, Jan Sykora, Oliver Pajonk, Alexander Litvinenko, Hermann G. Matthies

CoRR, 2012

2011

Parametric and Uncertainty Computations with Tensor Product Representations.

Hermann G. Matthies, Alexander Litvinenko, Oliver Pajonk, Bojana V. Rosic, Elmar Zander

Proceedings of the Uncertainty Quantification in Scientific Computing, 2011

2009

Application of hierarchical matrices for computing the Karhunen-Loève expansion.

Boris N. Khoromskij, Alexander Litvinenko, Hermann G. Matthies

Computing, 2009

2003

The influence of prior knowledge on the expected performance of a classifier.

Vladimir B. Berikov, Alexander Litvinenko

Pattern Recognit. Lett., 2003