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An Overview of Uncertainty Quantification Methods for Infinite Neural
  Networks

An Overview of Uncertainty Quantification Methods for Infinite Neural Networks

13 January 2022
Florian Juengermann
Maxime Laasri
Marius Merkle
    BDL
ArXivPDFHTML

Papers citing "An Overview of Uncertainty Quantification Methods for Infinite Neural Networks"

2 / 2 papers shown
Title
Tensor Programs II: Neural Tangent Kernel for Any Architecture
Tensor Programs II: Neural Tangent Kernel for Any Architecture
Greg Yang
101
136
0
25 Jun 2020
Uncertainty-Aware (UNA) Bases for Deep Bayesian Regression Using
  Multi-Headed Auxiliary Networks
Uncertainty-Aware (UNA) Bases for Deep Bayesian Regression Using Multi-Headed Auxiliary Networks
Sujay Thakur
Cooper Lorsung
Yaniv Yacoby
Finale Doshi-Velez
Weiwei Pan
BDL
UQCV
49
4
0
21 Jun 2020
1