Jensen-Shannon Divergence Based Novel Loss Functions for Bayesian Neural Networks

23 September 2022

Papers citing "Jensen-Shannon Divergence Based Novel Loss Functions for Bayesian Neural Networks"

9 / 9 papers shown

Title
On the Robustness of Bayesian Neural Networks to Adversarial Attacks Luca Bortolussi Ginevra Carbone Luca Laurenti A. Patané G. Sanguinetti Matthew Wicker AAML 43 12 0 13 Jul 2022
An overview on deep learning-based approximation methods for partial differential equations C. Beck Martin Hutzenthaler Arnulf Jentzen Benno Kuckuck 67 151 0 22 Dec 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 84 628 0 14 Jul 2020
Bayesian Neural Networks: An Introduction and Survey Ethan Goan Clinton Fookes BDL UQCV 62 205 0 22 Jun 2020
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects Zewen Li Wenjie Yang Shouheng Peng Fan Liu HAI 3DV 101 2,720 0 01 Apr 2020
Accelerating MCMC Algorithms Christian P. Robert Victor Elvira Nicholas G. Tawn Changye Wu 67 141 0 08 Apr 2018
Deep Learning for Medical Image Analysis Mina Rezaei Haojin Yang Christoph Meinel 75 2,064 0 17 Aug 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 669 10,786 0 19 Feb 2017
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks José Miguel Hernández-Lobato Ryan P. Adams UQCV BDL 130 945 0 18 Feb 2015