A survey of unsupervised learning methods for high-dimensional
uncertainty quantification in black-box-type problems

v1v2 (latest)

A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems

9 February 2022

Katiana Kontolati

Dimitrios Loukrezis

Lohit Vandanapu

Michael D. Shields

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Papers citing "A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems"

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Title
High-dimensional multimodal uncertainty estimation by manifold alignment:Application to 3D right ventricular strain computations Maxime Di Folco Gabriel Bernardino Patrick Clarysse Nicolas Duchateau 96 1 0 21 Jan 2025
Learning signals defined on graphs with optimal transport and Gaussian process regression Raphael Carpintero Perez Sébastien da Veiga Josselin Garnier B. Staber 210 1 0 21 Oct 2024
Stratospheric aerosol source inversion: Noise, variability, and uncertainty quantification J. Hart I. Manickam M. Gulian L. Swiler D. Bull T. Ehrmann H. Brown B. Wagman J. Watkins 62 6 0 10 Sep 2024
NeurAM: nonlinear dimensionality reduction for uncertainty quantification through neural active manifolds Andrea Zanoni Gianluca Geraci Matteo Salvador Alison L. Marsden Daniele E. Schiavazzi 41 3 0 07 Aug 2024
End-to-end Conditional Robust Optimization A. Chenreddy Erick Delage 115 11 0 07 Mar 2024
Dimensionality reduction can be used as a surrogate model for high-dimensional forward uncertainty quantification Jungho Kim Sang-ri Yi Ziqi Wang 78 6 0 07 Feb 2024
Polynomial Chaos Expansions on Principal Geodesic Grassmannian Submanifolds for Surrogate Modeling and Uncertainty Quantification Dimitris G. Giovanis Dimitrios Loukrezis Ioannis G. Kevrekidis Michael D. Shields 77 4 0 30 Jan 2024
Model-Agnostic Interpretation Framework in Machine Learning: A Comparative Study in NBA Sports Shun Liu 68 0 0 05 Jan 2024
A physics and data co-driven surrogate modeling method for high-dimensional rare event simulation Jianhua Xian Ziqi Wang AI4CE 65 11 0 30 Sep 2023
Learning in latent spaces improves the predictive accuracy of deep neural operators Katiana Kontolati S. Goswami George Karniadakis Michael D. Shields AI4CE 88 22 0 15 Apr 2023
Probabilistic partition of unity networks for high-dimensional regression problems Tiffany Fan N. Trask M. DÉlia Eric F. Darve 60 1 0 06 Oct 2022
Solving Coupled Differential Equation Groups Using PINO-CDE Wenhao Ding Qing He Hanghang Tong Qingjing Wang Ping Wang OOD AI4CE 52 4 0 01 Oct 2022
On the influence of over-parameterization in manifold based surrogates and deep neural operators Katiana Kontolati S. Goswami Michael D. Shields George Karniadakis 73 42 0 09 Mar 2022
Grassmannian diffusion maps based surrogate modeling via geometric harmonics K. R. D. dos Santos Dimitris G. Giovanis Katiana Kontolati Dimitrios Loukrezis Michael D. Shields 49 9 0 28 Sep 2021
Active Learning with Multifidelity Modeling for Efficient Rare Event Simulation Somayajulu L. N. Dhulipala Michael D. Shields B. Spencer C. Bolisetti A. Slaughter V. Labouré P. Chakroborty 56 24 0 25 Jun 2021