-
Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes
We present a Bayesian approach to identify optimal transformations that ...
read it
-
Sparse Polynomial Chaos expansions using Variational Relevance Vector Machines
The challenges for non-intrusive methods for Polynomial Chaos modeling l...
read it
-
Compressive sensing adaptation for polynomial chaos expansions
Basis adaptation in Homogeneous Chaos spaces rely on a suitable rotation...
read it
-
Efficient Bayesian experimentation using an expected information gain lower bound
Experimental design is crucial for inference where limitations in the da...
read it
-
Variational Reformulation of Bayesian Inverse Problems
The classical approach to inverse problems is based on the optimization ...
read it

Panagiotis Tsilifis
is this you? claim profile