Bayesian model and dimension reduction for uncertainty propagation:
applications in random media

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Bayesian model and dimension reduction for uncertainty propagation: applications in random media

7 November 2017

Constantin Grigo

P. Koutsourelakis

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Papers citing "Bayesian model and dimension reduction for uncertainty propagation: applications in random media"

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Title
Self-supervised optimization of random material microstructures in the small-data regime Maximilian Rixner P. Koutsourelakis AI4CE 46 15 0 05 Aug 2021
Incorporating physical constraints in a deep probabilistic machine learning framework for coarse-graining dynamical systems Sebastian Kaltenbach P. Koutsourelakis AI4CE 205 35 0 30 Dec 2019
A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regime Constantin Grigo P. Koutsourelakis AI4CE 129 26 0 11 Feb 2019
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data Yinhao Zhu N. Zabaras P. Koutsourelakis P. Perdikaris PINN AI4CE 136 876 0 18 Jan 2019
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification Yinhao Zhu N. Zabaras UQCV BDL 115 649 0 21 Jan 2018