Ensembling geophysical models with Bayesian Neural Networks

7 October 2020

Papers citing "Ensembling geophysical models with Bayesian Neural Networks"

5 / 5 papers shown

Title
Uncertainty Quantification in Seismic Inversion Through Integrated Importance Sampling and Ensemble Methods Luping Qu Mauricio Araya-Polo Laurent Demanet 61 0 0 10 Sep 2024
Modeling Weather Uncertainty for Multi-weather Co-Presence Estimation Qi Bi Shaodi You Theo Gevers 55 1 0 29 Mar 2024
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Naoya Takeishi Alexandros Kalousis DRL AI4CE 40 54 0 25 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 278 5,695 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015