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BayesFlow: Amortized Bayesian Workflows With Neural Networks

BayesFlow: Amortized Bayesian Workflows With Neural Networks

28 June 2023
Stefan T. Radev
Marvin Schmitt
Lukas Schumacher
Lasse Elsemüller
Valentin Pratz
Yannik Schalte
Ullrich Kothe
Paul-Christian Burkner
    BDL
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Papers citing "BayesFlow: Amortized Bayesian Workflows With Neural Networks"

3 / 3 papers shown
Title
MetaMolGen: A Neural Graph Motif Generation Model for De Novo Molecular Design
MetaMolGen: A Neural Graph Motif Generation Model for De Novo Molecular Design
Zimo Yan
Jie Zhang
Zheng Xie
Chang-rui Liu
Y. Liu
Yiping Song
34
0
0
22 Apr 2025
Expert-elicitation method for non-parametric joint priors using normalizing flows
Expert-elicitation method for non-parametric joint priors using normalizing flows
F. Bockting
Stefan T. Radev
Paul-Christian Burkner
BDL
88
1
0
24 Nov 2024
Amortized Bayesian Multilevel Models
Amortized Bayesian Multilevel Models
Daniel Habermann
Marvin Schmitt
Lars Kühmichel
Andreas Bulling
Stefan T. Radev
Paul-Christian Burkner
50
3
0
23 Aug 2024
1