Gaussian Process Surrogate Models for Neural Networks

11 August 2022

Papers citing "Gaussian Process Surrogate Models for Neural Networks"

4 / 4 papers shown

Title
Feature Fusion for Improved Classification: Combining Dempster-Shafer Theory and Multiple CNN Architectures Ayyub Alzahem W. Boulila Maha Driss Anis Koubaa 20 2 0 23 May 2024
Bayesian Model Selection, the Marginal Likelihood, and Generalization Sanae Lotfi Pavel Izmailov Gregory W. Benton Micah Goldblum A. Wilson UQCV BDL 52 56 0 23 Feb 2022
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks Lechao Xiao Yasaman Bahri Jascha Narain Sohl-Dickstein S. Schoenholz Jeffrey Pennington 227 348 0 14 Jun 2018
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 254 3,684 0 28 Feb 2017