Likelihood Approximation With Hierarchical Matrices For Large Spatial
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Likelihood Approximation With Hierarchical Matrices For Large Spatial Datasets

8 September 2017

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Papers citing "Likelihood Approximation With Hierarchical Matrices For Large Spatial Datasets"

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Title
Scalable Physics-based Maximum Likelihood Estimation using Hierarchical Matrices Yian Chen M. Anitescu 41 8 0 17 Mar 2023
Scalable3-BO: Big Data meets HPC - A scalable asynchronous parallel high-dimensional Bayesian optimization framework on supercomputers Anh Tran 55 0 0 12 Aug 2021
Identification of unknown parameters and prediction with hierarchical matrices A. Litvinenko Ronald Kriemann V. Berikov 18 0 0 14 Apr 2021
Solving weakly supervised regression problem using low-rank manifold regularization V. Berikov A. Litvinenko 27 2 0 13 Apr 2021
Geostatistical Modeling and Prediction Using Mixed-Precision Tile Cholesky Factorization Sameh Abdulah Hatem Ltaief Ying Sun M. Genton David E. Keyes 49 20 0 08 Jan 2020
Semi-Supervised Regression using Cluster Ensemble and Low-Rank Co-Association Matrix Decomposition under Uncertainties V. Berikov A. Litvinenko 42 7 0 13 Jan 2019
Scalable Gaussian Process Computations Using Hierarchical Matrices Christopher J. Geoga M. Anitescu Michael L. Stein 84 43 0 09 Aug 2018
Neural-net-induced Gaussian process regression for function approximation and PDE solution G. Pang Liu Yang George Karniadakis 78 73 0 22 Jun 2018
ExaGeoStat: A High Performance Unified Software for Geostatistics on Manycore Systems Sameh Abdulah Hatem Ltaief Ying Sun M. Genton David E. Keyes 92 67 0 09 Aug 2017