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2020 – today
- 2024
[j13]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: 112854 (2024)- [i10]Dmitry Logashenko, Alexander Litvinenko, Raúl Tempone, Ekaterina Vasilyeva, Gabriel Wittum:
Uncertainty quantification in the Henry problem using the multilevel Monte Carlo method. CoRR abs/2403.17018 (2024) - [i9]Dmitry Logashenko, Alexander Litvinenko, Raúl Tempone, Gabriel Wittum:
Estimation of uncertainties in the density driven flow in fractured porous media using MLMC. CoRR abs/2404.18003 (2024) - 2023
- [j12]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) - [i8]Alexander Litvinenko, Dmitry Logashenko, Raúl Tempone, Ekaterina Vasilyeva, Gabriel Wittum:
Uncertainty quantification in coastal aquifers using the multilevel Monte Carlo method. CoRR abs/2302.07804 (2023) - 2021
- [c3]Vladimir B. Berikov, Alexander Litvinenko, Igor Pestunov, Yuriy Sinyavskiy:
On a Weakly Supervised Classification Problem. AIST 2021: 315-329 - [c2]Vladimir B. Berikov, Alexander Litvinenko:
Weakly Supervised Regression Using Manifold Regularization and Low-Rank Matrix Representation. MOTOR 2021: 447-461 - [i7]Vladimir B. Berikov, Alexander Litvinenko:
Solving weakly supervised regression problem using low-rank manifold regularization. CoRR abs/2104.06548 (2021) - [i6]Alexander Litvinenko, Ronald Kriemann, Vladimir B. Berikov:
Identification of unknown parameters and prediction with hierarchical matrices. CoRR abs/2104.07146 (2021) - [i5]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 abs/2111.07164 (2021) - 2020
- [j11]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: 109396 (2020)
2010 – 2019
- 2019
- [j10]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): 101-122 (2019) - [j9]Alexander Litvinenko, Ying Sun, Marc G. Genton, David E. Keyes:
Likelihood approximation with hierarchical matrices for large spatial datasets. Comput. Stat. Data Anal. 137: 115-132 (2019) - [i4]Vladimir B. Berikov, Alexander Litvinenko:
Semi-Supervised Regression using Cluster Ensemble and Low-Rank Co-Association Matrix Decomposition under Uncertainties. CoRR abs/1901.03919 (2019) - [i3]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 abs/1906.01632 (2019) - [i2]Mike Espig, Wolfgang Hackbusch, Alexander Litvinenko, Hermann G. Matthies, Elmar Zander:
Post-Processing of High-Dimensional Data. CoRR abs/1906.05669 (2019) - 2017
- [j8]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): 334-352 (2017) - 2016
- [j7]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): 24:1-24:21 (2016) - 2015
- [j6]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): 1109-1135 (2015) - 2014
- [j5]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): 818-829 (2014) - [j4]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) - 2012
- [j3]Bojana V. Rosic, Alexander Litvinenko, Oliver Pajonk, Hermann G. Matthies:
Sampling-free linear Bayesian update of polynomial chaos representations. J. Comput. Phys. 231(17): 5761-5787 (2012) - [i1]Bojana V. Rosic, Anna Kucerová, Jan Sykora, Oliver Pajonk, Alexander Litvinenko, Hermann G. Matthies:
Parameter Identification in a Probabilistic Setting. CoRR abs/1201.4049 (2012) - 2011
- [c1]Hermann G. Matthies, Alexander Litvinenko, Oliver Pajonk, Bojana V. Rosic, Elmar Zander:
Parametric and Uncertainty Computations with Tensor Product Representations. WoCoUQ 2011: 139-150
2000 – 2009
- 2009
- [j2]Boris N. Khoromskij, Alexander Litvinenko, Hermann G. Matthies:
Application of hierarchical matrices for computing the Karhunen-Loève expansion. Computing 84(1-2): 49-67 (2009) - 2003
- [j1]Vladimir B. Berikov, Alexander Litvinenko:
The influence of prior knowledge on the expected performance of a classifier. Pattern Recognit. Lett. 24(15): 2537-2548 (2003)
Coauthor Index
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