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Repulsive Deep Ensembles are Bayesian
Neural Information Processing Systems (NeurIPS), 2021
22 June 2021
Francesco DÁngelo
Vincent Fortuin
UQCV
BDL
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Papers citing
"Repulsive Deep Ensembles are Bayesian"
50 / 79 papers shown
Accelerated Execution of Bayesian Neural Networks using a Single Probabilistic Forward Pass and Code Generation
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233
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Simulation Priors for Data-Efficient Deep Learning
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226
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06 Sep 2025
Quantifying Out-of-Training Uncertainty of Neural-Network based Turbulence Closures
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Som Dhulipala
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166
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23 Aug 2025
Principled Input-Output-Conditioned Post-Hoc Uncertainty Estimation for Regression Networks
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312
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01 Jun 2025
Universal Value-Function Uncertainties
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Max Weltevrede
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Pascal R. van der Vaart
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337
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27 May 2025
Repulsive Ensembles for Bayesian Inference in Physics-informed Neural Networks
Philipp Pilar
Markus Heinonen
Niklas Wahlström
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372
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22 May 2025
Are vision language models robust to uncertain inputs?
Xi Wang
Eric Nalisnick
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455
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Annika Leinweber
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505
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Thomas Hamelryck
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30 Oct 2024
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343
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494
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Chris Holmes
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347
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Andreas Krause
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396
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G. Nam
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249
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Atri Guha
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MU
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526
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Xuehui Du
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Amin Kharraz
Cuong V Nguyen
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274
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Günter Klambauer
Sepp Hochreiter
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Push: Concurrent Probabilistic Programming for Bayesian Deep Learning
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Christian Camaño
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Input-gradient space particle inference for neural network ensembles
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Luigi Acerbi
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307
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Improving Neural Additive Models with Bayesian Principles
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Hugo Yèche
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Ruqi Zhang
322
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