Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution

6 September 2022

Papers citing "Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution"

10 / 10 papers shown

Title
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 343 1,928 0 12 Nov 2020
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users Laurent Valentin Jospin Wray Buntine F. Boussaïd Hamid Laga Bennamoun OOD BDL UQCV 84 629 0 14 Jul 2020
Bayesian Neural Networks: An Introduction and Survey Ethan Goan Clinton Fookes BDL UQCV 62 207 0 22 Jun 2020
Bayesian Deep Learning and a Probabilistic Perspective of Generalization A. Wilson Pavel Izmailov UQCV BDL OOD 109 653 0 20 Feb 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 207 1,711 0 05 Dec 2019
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 80 128 0 28 May 2018
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 83 2,110 0 17 Jan 2017
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 287 4,807 0 04 Jan 2016
Stochastic Gradient Hamiltonian Monte Carlo Tianqi Chen E. Fox Carlos Guestrin BDL 109 913 0 17 Feb 2014
MCMC using Hamiltonian dynamics Radford M. Neal 292 3,283 0 09 Jun 2012