Deep Gaussian Processes with Convolutional Kernels

5 June 2018

Papers citing "Deep Gaussian Processes with Convolutional Kernels"

8 / 8 papers shown

Title
Distributional Gaussian Processes Layers for Out-of-Distribution Detection S. Popescu D. Sharp James H. Cole Konstantinos Kamnitsas Ben Glocker OOD 29 0 0 27 Jun 2022
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 35 124 0 14 May 2021
Probabilistic Numeric Convolutional Neural Networks Marc Finzi Roberto Bondesan Max Welling BDL AI4TS 31 13 0 21 Oct 2020
DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction Wanfang Chen Yuxiao Li Brian J. Reich Ying Sun 18 30 0 23 Jul 2020
Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes Greg Yang 33 194 0 28 Oct 2019
On Exact Computation with an Infinitely Wide Neural Net Sanjeev Arora S. Du Wei Hu Zhiyuan Li Ruslan Salakhutdinov Ruosong Wang 65 906 0 26 Apr 2019
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes Roman Novak Lechao Xiao Jaehoon Lee Yasaman Bahri Greg Yang Jiri Hron Daniel A. Abolafia Jeffrey Pennington Jascha Narain Sohl-Dickstein UQCV BDL 25 307 0 11 Oct 2018
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks John Bradshaw A. G. Matthews Zoubin Ghahramani BDL AAML 72 171 0 08 Jul 2017