ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.02709
  4. Cited By
An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their
  Asymptotic Overconfidence

An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence

6 October 2020
Agustinus Kristiadi
Matthias Hein
Philipp Hennig
    BDL
ArXivPDFHTML

Papers citing "An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence"

3 / 3 papers shown
Title
The Geometry of Neural Nets' Parameter Spaces Under Reparametrization
The Geometry of Neural Nets' Parameter Spaces Under Reparametrization
Agustinus Kristiadi
Felix Dangel
Philipp Hennig
26
11
0
14 Feb 2023
Being a Bit Frequentist Improves Bayesian Neural Networks
Being a Bit Frequentist Improves Bayesian Neural Networks
Agustinus Kristiadi
Matthias Hein
Philipp Hennig
BDL
UQCV
20
15
0
18 Jun 2021
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
5,660
0
05 Dec 2016
1