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You can have your ensemble and run it too -- Deep Ensembles Spread Over
  Time

You can have your ensemble and run it too -- Deep Ensembles Spread Over Time

20 September 2023
Isak Meding
Alexander Bodin
Adam Tonderski
Joakim Johnander
Christoffer Petersson
Lennart Svensson
    OOD
    UQCV
ArXivPDFHTML

Papers citing "You can have your ensemble and run it too -- Deep Ensembles Spread Over Time"

4 / 4 papers shown
Title
CATPlan: Loss-based Collision Prediction in End-to-End Autonomous Driving
Ziliang Xiong
Shipeng Liu
Nathaniel Helgesen
Joakim Johnander
Per-Erik Forssén
64
0
0
10 Mar 2025
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for
  autonomous driving
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving
Mina Alibeigi
William Ljungbergh
Adam Tonderski
Georg Hess
Adam Lilja
Carl Lindström
D. Motorniuk
Junsheng Fu
Jenny Widahl
Christoffer Petersson
VGen
47
63
0
03 May 2023
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
276
5,661
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
285
9,138
0
06 Jun 2015
1