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Amortized Bayesian model comparison with evidential deep learning

Amortized Bayesian model comparison with evidential deep learning

22 April 2020
Stefan T. Radev
Marco D’Alessandro
U. Mertens
A. Voss
Ullrich Kothe
Paul-Christian Bürkner
    BDL
ArXivPDFHTML

Papers citing "Amortized Bayesian model comparison with evidential deep learning"

5 / 5 papers shown
Title
Amortized Bayesian Multilevel Models
Amortized Bayesian Multilevel Models
Daniel Habermann
Marvin Schmitt
Lars Kühmichel
Andreas Bulling
Stefan T. Radev
Paul-Christian Bürkner
70
3
0
23 Aug 2024
An Optimal Likelihood Free Method for Biological Model Selection
An Optimal Likelihood Free Method for Biological Model Selection
Vincent D. Zaballa
E. Hui
34
0
0
03 Aug 2022
Detecting Model Misspecification in Amortized Bayesian Inference with
  Neural Networks
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks
Marvin Schmitt
Paul-Christian Bürkner
Ullrich Kothe
Stefan T. Radev
24
34
0
16 Dec 2021
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
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,266
0
09 Jun 2012
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