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02/13/2023
Uncertainty quantification in coastal aquifers using the multilevel Monte Carlo method
We consider a class of density-driven flow problems. We are particularly...
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11/13/2021
Computing f-Divergences and Distances of High-Dimensional Probability Density Functions – Low-Rank Tensor Approximations
Very often, in the course of uncertainty quantification tasks or data an...
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04/14/2021
Identification of unknown parameters and prediction with hierarchical matrices
Statistical analysis of massive datasets very often implies expensive li...
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04/13/2021
Solving weakly supervised regression problem using low-rank manifold regularization
We solve a weakly supervised regression problem. Under "weakly" we under...
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06/13/2019
Post-Processing of High-Dimensional Data
Scientific computations or measurements may result in huge volumes of da...
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05/31/2019
Solution of the 3D density-driven groundwater flow problem with uncertain porosity and permeability
As groundwater is an essential nutrition and irrigation resource, its po...
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05/06/2019
Propagation of Uncertainties in Density-Driven Flow
Accurate modeling of contamination in subsurface flow and water aquifers...
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04/21/2019
Kriging in Tensor Train data format
Combination of low-tensor rank techniques and the Fast Fourier transform...
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01/13/2019
Semi-Supervised Regression using Cluster Ensemble and Low-Rank Co-Association Matrix Decomposition under Uncertainties
In this paper, we solve a semi-supervised regression problem. Due to the...
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09/24/2017
HLIBCov: Parallel Hierarchical Matrix Approximation of Large Covariance Matrices and Likelihoods with Applications in Parameter Identification
The main goal of this article is to introduce the parallel hierarchical ...
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09/08/2017