Photoelectric Factor Prediction Using Automated Learning and Uncertainty Quantification

17 June 2022

Papers citing "Photoelectric Factor Prediction Using Automated Learning and Uncertainty Quantification"

6 / 6 papers shown

Title
Deep Sigma Point Processes M. Jankowiak Geoff Pleiss Jacob R. Gardner BDL 55 21 0 21 Feb 2020
When Gaussian Process Meets Big Data: A Review of Scalable GPs Haitao Liu Yew-Soon Ong Xiaobo Shen Jianfei Cai GP 101 693 0 03 Jul 2018
Deep Neural Networks as Gaussian Processes Jaehoon Lee Yasaman Bahri Roman Novak S. Schoenholz Jeffrey Pennington Jascha Narain Sohl-Dickstein UQCV BDL 137 1,100 0 01 Nov 2017
Doubly Stochastic Variational Inference for Deep Gaussian Processes Hugh Salimbeni M. Deisenroth BDL GP 91 422 0 24 May 2017
Gaussian Processes: A Quick Introduction Mark Ebden GP 37 209 0 12 May 2015
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 379 7,965 0 13 Jun 2012