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Detecting Model Misspecification in Amortized Bayesian Inference with
  Neural Networks: An Extended Investigation

Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation

5 June 2024
Marvin Schmitt
Paul-Christian Burkner
Ullrich Kothe
Stefan T. Radev
ArXivPDFHTML

Papers citing "Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation"

5 / 5 papers shown
Title
Multifidelity Simulation-based Inference for Computationally Expensive Simulators
Multifidelity Simulation-based Inference for Computationally Expensive Simulators
Anastasia N. Krouglova
Hayden R. Johnson
Basile Confavreux
Michael Deistler
P. J. Gonçalves
71
1
0
17 Feb 2025
Simulation-based inference of Bayesian hierarchical models while
  checking for model misspecification
Simulation-based inference of Bayesian hierarchical models while checking for model misspecification
F. Leclercq
18
6
0
22 Sep 2022
Bayesian Model Selection, the Marginal Likelihood, and Generalization
Bayesian Model Selection, the Marginal Likelihood, and Generalization
Sanae Lotfi
Pavel Izmailov
Gregory W. Benton
Micah Goldblum
A. Wilson
UQCV
BDL
45
55
0
23 Feb 2022
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
171
870
0
21 Oct 2021
Benchmarking Simulation-Based Inference
Benchmarking Simulation-Based Inference
Jan-Matthis Lueckmann
Jan Boelts
David S. Greenberg
P. J. Gonçalves
Jakob H. Macke
96
180
0
12 Jan 2021
1