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Understanding Pathologies of Deep Heteroskedastic Regression
29 June 2023
Eliot Wong-Toi
Alex Boyd
Vincent Fortuin
Stephan Mandt
UQCV
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Papers citing
"Understanding Pathologies of Deep Heteroskedastic Regression"
5 / 5 papers shown
Title
Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression
Megh Shukla
Aziz Shameem
Mathieu Salzmann
Alexandre Alahi
44
1
0
14 Feb 2025
Identifying Drivers of Predictive Aleatoric Uncertainty
Pascal Iversen
Simon Witzke
Katharina Baum
Bernhard Y. Renard
UD
62
2
0
12 Dec 2023
Why neural networks find simple solutions: the many regularizers of geometric complexity
Benoit Dherin
Michael Munn
M. Rosca
David Barrett
57
31
0
27 Sep 2022
Deep Classifiers with Label Noise Modeling and Distance Awareness
Vincent Fortuin
Mark Collier
F. Wenzel
J. Allingham
J. Liu
Dustin Tran
Balaji Lakshminarayanan
Jesse Berent
Rodolphe Jenatton
E. Kokiopoulou
UQCV
34
11
0
06 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,683
0
05 Dec 2016
1