Scalable Training of Inference Networks for Gaussian-Process Models

Scalable Training of Inference Networks for Gaussian-Process Models

27 May 2019

Mohammad Emtiyaz Khan

Jun Zhu

Papers citing "Scalable Training of Inference Networks for Gaussian-Process Models"

4 / 4 papers shown

Title
Function-Space Regularization for Deep Bayesian Classification J. Lin Joe Watson Pascal Klink Jan Peters UQCV BDL 38 1 0 12 Jul 2023
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 73 24 0 01 Sep 2022
Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model Inversion D. Svendsen Pablo Morales-Álvarez A. Ruescas Rafael Molina Gustau Camps-Valls 30 29 0 16 Apr 2021
Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO Pablo Morales-Álvarez Pablo Ruiz S. Coughlin Rafael Molina Aggelos K. Katsaggelos 21 14 0 05 Nov 2019