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Towards Dependable Autonomous Systems Based on Bayesian Deep Learning
  Components

Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components

12 January 2023
F. Arnez
H. Espinoza
A. Radermacher
F. Terrier
    UQCV
ArXivPDFHTML

Papers citing "Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components"

3 / 3 papers shown
Title
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Sergio Casas
Cole Gulino
Simon Suo
Katie Z Luo
Renjie Liao
R. Urtasun
147
155
0
23 Jul 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
1