Deep kernel learning for integral measurements

4 September 2019

Papers citing "Deep kernel learning for integral measurements"

4 / 4 papers shown

Title
Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors Cédric Travelletti D. Ginsbourger N. Linde 30 3 0 08 Sep 2021
Using Distance Correlation for Efficient Bayesian Optimization T. Kanazawa 44 3 0 17 Feb 2021
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 92 271 0 24 Feb 2014
Variable noise and dimensionality reduction for sparse Gaussian processes Edward Snelson Zoubin Ghahramani 87 79 0 27 Jun 2012