Generalized Variational Inference in Function Spaces: Gaussian Measures
meet Bayesian Deep Learning

Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning

12 May 2022

Dino Sejdinovic

Papers citing "Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning"

5 / 5 papers shown

Title
Variational Autoencoding Neural Operators Jacob H. Seidman Georgios Kissas George J. Pappas P. Perdikaris DRL AI4CE 16 7 0 20 Feb 2023
Variational Gaussian Processes: A Functional Analysis View Veit Wild George Wynne GP 34 5 0 25 Oct 2021
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Emtiyaz Khan Didrik Nielsen Voot Tangkaratt Wu Lin Y. Gal Akash Srivastava ODL 74 264 0 13 Jun 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 245 9,042 0 06 Jun 2015