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OutbreakFlow: Model-based Bayesian inference of disease outbreak
  dynamics with invertible neural networks and its application to the COVID-19
  pandemics in Germany
v1v2v3v4 (latest)

OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany

1 October 2020
Stefan T. Radev
Frederik Graw
Simiao Chen
N. Mutters
V. Eichel
T. Bärnighausen
Ullrich Kothe
ArXiv (abs)PDFHTML

Papers citing "OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany"

4 / 4 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
252
4
0
23 Aug 2024
Sensitivity-Aware Amortized Bayesian Inference
Sensitivity-Aware Amortized Bayesian Inference
Lasse Elsemüller
Hans Olischläger
Marvin Schmitt
Paul-Christian Bürkner
Ullrich Kothe
Stefan T. Radev
118
9
0
17 Oct 2023
A Deep Learning Method for Comparing Bayesian Hierarchical Models
A Deep Learning Method for Comparing Bayesian Hierarchical Models
Lasse Elsemüller
Martin Schnuerch
Paul-Christian Bürkner
Stefan T. Radev
BDL
108
10
0
27 Jan 2023
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
91
39
0
16 Dec 2021
1