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08/05/2020
Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes
We present a Bayesian approach to identify optimal transformations that ...
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12/23/2019
Sparse Polynomial Chaos expansions using Variational Relevance Vector Machines
The challenges for non-intrusive methods for Polynomial Chaos modeling l...
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01/06/2018
Compressive sensing adaptation for polynomial chaos expansions
Basis adaptation in Homogeneous Chaos spaces rely on a suitable rotation...
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05/30/2015
Efficient Bayesian experimentation using an expected information gain lower bound
Experimental design is crucial for inference where limitations in the da...
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10/21/2014
