Alexander Litvinenko

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 18

Top Topics

Weakly Supervised

Ambrosio Tortorelli

Density Function

Top Venues

SIAM/ASA J. Uncertain. Quantification

J. Comput. Phys.

Comput. Math. Appl.

Publications

Dmitry Logashenko, Alexander Litvinenko, Raúl Tempone, Ekaterina Vasilyeva, Gabriel Wittum
Uncertainty quantification in the Henry problem using the multilevel Monte Carlo method. CoRR (2024)
Dmitry Logashenko, Alexander Litvinenko, Raúl Tempone, Ekaterina Vasilyeva, Gabriel Wittum
Uncertainty quantification in the Henry problem using the multilevel Monte Carlo method. J. Comput. Phys. 503 (2024)
Dmitry Logashenko, Alexander Litvinenko, Raúl Tempone, Gabriel Wittum
Estimation of uncertainties in the density driven flow in fractured porous media using MLMC. CoRR (2024)
Alexander Litvinenko, Youssef M. Marzouk, Hermann G. Matthies, Marco Scavino, Alessio Spantini
Computing f -divergences and distances of high-dimensional probability density functions. Numer. Linear Algebra Appl. 30 (3) (2023)
Alexander Litvinenko, Dmitry Logashenko, Raúl Tempone, Ekaterina Vasilyeva, Gabriel Wittum
Uncertainty quantification in coastal aquifers using the multilevel Monte Carlo method. CoRR (2023)
Vladimir B. Berikov, Alexander Litvinenko
Solving weakly supervised regression problem using low-rank manifold regularization. CoRR (2021)
Alexander Litvinenko, Youssef M. Marzouk, Hermann G. Matthies, Marco Scavino, Alessio Spantini
Computing f-Divergences and Distances of High-Dimensional Probability Density Functions - Low-Rank Tensor Approximations. CoRR (2021)
Vladimir B. Berikov, Alexander Litvinenko, Igor Pestunov, Yuriy Sinyavskiy
On a Weakly Supervised Classification Problem. AIST (2021)
Vladimir B. Berikov, Alexander Litvinenko
Weakly Supervised Regression Using Manifold Regularization and Low-Rank Matrix Representation. MOTOR (2021)
Alexander Litvinenko, Ronald Kriemann, Vladimir B. Berikov
Identification of unknown parameters and prediction with hierarchical matrices. CoRR (2021)
Mike Espig, Wolfgang Hackbusch, Alexander Litvinenko, Hermann G. Matthies, Elmar Zander
Iterative algorithms for the post-processing of high-dimensional data. J. Comput. Phys. 410 (2020)
Alexander Litvinenko, Dmitriy Logashenko, Raúl Tempone, Gabriel Wittum, David E. Keyes
Solution of the 3D density-driven groundwater flow problem with uncertain porosity and permeability. CoRR (2019)
Alexander Litvinenko, Ying Sun, Marc G. Genton, David E. Keyes
Likelihood approximation with hierarchical matrices for large spatial datasets. Comput. Stat. Data Anal. 137 (2019)
Alexander Litvinenko, David E. Keyes, Venera Khoromskaia, Boris N. Khoromskij, Hermann G. Matthies
Tucker Tensor Analysis of Matérn Functions in Spatial Statistics. Comput. Methods Appl. Math. 19 (1) (2019)
Mike Espig, Wolfgang Hackbusch, Alexander Litvinenko, Hermann G. Matthies, Elmar Zander
Post-Processing of High-Dimensional Data. CoRR (2019)
Vladimir B. Berikov, Alexander Litvinenko
Semi-Supervised Regression using Cluster Ensemble and Low-Rank Co-Association Matrix Decomposition under Uncertainties. CoRR (2019)
Dishi Liu, Alexander Litvinenko, Claudia Schillings, Volker Schulz
Quantification of Airfoil Geometry-Induced Aerodynamic Uncertainties - Comparison of Approaches. SIAM/ASA J. Uncertain. Quantification 5 (1) (2017)
Hermann G. Matthies, Elmar Zander, Bojana V. Rosic, Alexander Litvinenko
Parameter estimation via conditional expectation: a Bayesian inversion. Adv. Model. Simul. Eng. Sci. 3 (1) (2016)
Sergey Dolgov, Boris N. Khoromskij, Alexander Litvinenko, Hermann G. Matthies
Polynomial Chaos Expansion of Random Coefficients and the Solution of Stochastic Partial Differential Equations in the Tensor Train Format. SIAM/ASA J. Uncertain. Quantification 3 (1) (2015)
Mike Espig, Wolfgang Hackbusch, Alexander Litvinenko, Hermann G. Matthies, Philipp Wähnert
Efficient low-rank approximation of the stochastic Galerkin matrix in tensor formats. Comput. Math. Appl. 67 (4) (2014)
Loïc Giraldi, Alexander Litvinenko, Dishi Liu, Hermann G. Matthies, Anthony Nouy
To Be or Not to Be Intrusive? The Solution of Parametric and Stochastic Equations - the "Plain Vanilla" Galerkin Case. SIAM J. Sci. Comput. 36 (6) (2014)
Bojana V. Rosic, Anna Kucerová, Jan Sykora, Oliver Pajonk, Alexander Litvinenko, Hermann G. Matthies
Parameter Identification in a Probabilistic Setting CoRR (2012)
Bojana V. Rosic, Alexander Litvinenko, Oliver Pajonk, Hermann G. Matthies
Sampling-free linear Bayesian update of polynomial chaos representations. J. Comput. Phys. 231 (17) (2012)
Hermann G. Matthies, Alexander Litvinenko, Oliver Pajonk, Bojana V. Rosic, Elmar Zander
Parametric and Uncertainty Computations with Tensor Product Representations. WoCoUQ (2011)
Boris N. Khoromskij, Alexander Litvinenko, Hermann G. Matthies
Application of hierarchical matrices for computing the Karhunen-Loève expansion. Computing 84 (1-2) (2009)
Vladimir B. Berikov, Alexander Litvinenko
The influence of prior knowledge on the expected performance of a classifier. Pattern Recognit. Lett. 24 (15) (2003)