Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions

15 May 2019

Papers citing "Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions"

7 / 7 papers shown

Title
Thermodynamic limit in learning period three Yuichiro Terasaki Kohei Nakajima 40 1 0 12 May 2024
A connection between probability, physics and neural networks Sascha Ranftl PINN 17 9 0 26 Sep 2022
Incorporating Prior Knowledge into Neural Networks through an Implicit Composite Kernel Ziyang Jiang Tongshu Zheng Yiling Liu David Carlson 30 4 0 15 May 2022
Conditional Deep Gaussian Processes: empirical Bayes hyperdata learning Chi-Ken Lu Patrick Shafto BDL 27 4 0 01 Oct 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 31 124 0 14 May 2021
Gaussian Processes with Skewed Laplace Spectral Mixture Kernels for Long-term Forecasting Kai Chen Twan van Laarhoven E. Marchiori AI4TS 39 8 0 08 Nov 2020
Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights Theofanis Karaletsos T. Bui BDL 17 23 0 10 Feb 2020