Alexander Litvinenko

28 papers Misc 1Journal 25Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Estimation of uncertainties in the density driven flow in fractured porous media using MLMC. Eng. Comput. Dmitry Logashenko, Alexander Litvinenko, Raúl Tempone, Gabriel Wittum
2025	J	`jnl`	HOMO-PINN: Hyperparameter Optimization of a Multi-output Physics-Informed Neural Network. Oper. Res. Forum Mariapia De Rosa, Laura Pompameo, Alexander Litvinenko, Salvatore Cuomo
2024	J	`jnl`	Estimation of uncertainties in the density driven flow in fractured porous media using MLMC. CoRR Dmitry Logashenko, Alexander Litvinenko, Raúl Tempone, Gabriel Wittum
2024	J	`jnl`	Uncertainty quantification in the Henry problem using the multilevel Monte Carlo method. CoRR Dmitry Logashenko, Alexander Litvinenko, Raúl Tempone, Ekaterina Vasilyeva, Gabriel Wittum
2024	J	`jnl`	Uncertainty quantification in the Henry problem using the multilevel Monte Carlo method. J. Comput. Phys. Dmitry Logashenko, Alexander Litvinenko, Raúl Tempone, Ekaterina Vasilyeva, Gabriel Wittum
2023	J	`jnl`	Computing f -divergences and distances of high-dimensional probability density functions. Numer. Linear Algebra Appl. Alexander Litvinenko, Youssef M. Marzouk, Hermann G. Matthies, Marco Scavino, Alessio Spantini
2023	J	`jnl`	Uncertainty quantification in coastal aquifers using the multilevel Monte Carlo method. CoRR Alexander Litvinenko, Dmitry Logashenko, Raúl Tempone, Ekaterina Vasilyeva, Gabriel Wittum
2021	J	`jnl`	Computing f-Divergences and Distances of High-Dimensional Probability Density Functions - Low-Rank Tensor Approximations. CoRR Alexander Litvinenko, Youssef M. Marzouk, Hermann G. Matthies, Marco Scavino, Alessio Spantini
2021	J	`jnl`	Identification of unknown parameters and prediction with hierarchical matrices. CoRR Alexander Litvinenko, Ronald Kriemann, Vladimir B. Berikov
2021	Misc	`conf`	On a Weakly Supervised Classification Problem. AIST Vladimir B. Berikov, Alexander Litvinenko, Igor Pestunov, Yuriy Sinyavskiy
2021	J	`jnl`	Solving weakly supervised regression problem using low-rank manifold regularization. CoRR Vladimir B. Berikov, Alexander Litvinenko
2021	—	`conf`	Weakly Supervised Regression Using Manifold Regularization and Low-Rank Matrix Representation. MOTOR Vladimir B. Berikov, Alexander Litvinenko
2020	J	`jnl`	Iterative algorithms for the post-processing of high-dimensional data. J. Comput. Phys. Mike Espig, Wolfgang Hackbusch, Alexander Litvinenko, Hermann G. Matthies, Elmar Zander
2019	J	`jnl`	Likelihood approximation with hierarchical matrices for large spatial datasets. Comput. Stat. Data Anal. Alexander Litvinenko, Ying Sun, Marc G. Genton, David E. Keyes
2019	J	`jnl`	Post-Processing of High-Dimensional Data. CoRR Mike Espig, Wolfgang Hackbusch, Alexander Litvinenko, Hermann G. Matthies, Elmar Zander
2019	J	`jnl`	Semi-Supervised Regression using Cluster Ensemble and Low-Rank Co-Association Matrix Decomposition under Uncertainties. CoRR Vladimir B. Berikov, Alexander Litvinenko
2019	J	`jnl`	Solution of the 3D density-driven groundwater flow problem with uncertain porosity and permeability. CoRR Alexander Litvinenko, Dmitriy Logashenko, Raúl Tempone, Gabriel Wittum, David E. Keyes
2019	J	`jnl`	Tucker Tensor Analysis of Matérn Functions in Spatial Statistics. Comput. Methods Appl. Math. Alexander Litvinenko, David E. Keyes, Venera Khoromskaia, Boris N. Khoromskij, Hermann G. Matthies
2017	J	`jnl`	Quantification of Airfoil Geometry-Induced Aerodynamic Uncertainties - Comparison of Approaches. SIAM/ASA J. Uncertain. Quantification Dishi Liu, Alexander Litvinenko, Claudia Schillings, Volker Schulz
2016	J	`jnl`	Parameter estimation via conditional expectation: a Bayesian inversion. Adv. Model. Simul. Eng. Sci. Hermann G. Matthies, Elmar Zander, Bojana V. Rosic, Alexander Litvinenko
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
2014	J	`jnl`	Efficient low-rank approximation of the stochastic Galerkin matrix in tensor formats. Comput. Math. Appl. Mike Espig, Wolfgang Hackbusch, Alexander Litvinenko, Hermann G. Matthies, Philipp Wähnert
2014	J	`jnl`	To Be or Not to Be Intrusive? The Solution of Parametric and Stochastic Equations - the "Plain Vanilla" Galerkin Case. SIAM J. Sci. Comput. Loïc Giraldi, Alexander Litvinenko, Dishi Liu, Hermann G. Matthies, Anthony Nouy
2012	J	`jnl`	Parameter Identification in a Probabilistic Setting CoRR Bojana V. Rosic, Anna Kucerová, Jan Sykora, Oliver Pajonk, Alexander Litvinenko, Hermann G. Matthies
2012	J	`jnl`	Sampling-free linear Bayesian update of polynomial chaos representations. J. Comput. Phys. Bojana V. Rosic, Alexander Litvinenko, Oliver Pajonk, Hermann G. Matthies
2011	—	`conf`	Parametric and Uncertainty Computations with Tensor Product Representations. WoCoUQ Hermann G. Matthies, Alexander Litvinenko, Oliver Pajonk, Bojana V. Rosic, Elmar Zander
2009	J	`jnl`	Application of hierarchical matrices for computing the Karhunen-Loève expansion. Computing Boris N. Khoromskij, Alexander Litvinenko, Hermann G. Matthies
2003	J	`jnl`	The influence of prior knowledge on the expected performance of a classifier. Pattern Recognit. Lett. Vladimir B. Berikov, Alexander Litvinenko