BayesFlow: Amortized Bayesian Workflows With Neural Networks

v1v2 (latest)

BayesFlow: Amortized Bayesian Workflows With Neural Networks

28 June 2023

Stefan T. Radev

Lukas Schumacher

Lasse Elsemüller

Paul-Christian Bürkner

ArXiv (abs)PDF HTML

Papers citing "BayesFlow: Amortized Bayesian Workflows With Neural Networks"

13 / 13 papers shown

Title
MetaMolGen: A Neural Graph Motif Generation Model for De Novo Molecular Design Zimo Yan Jie Zhang Zheng Xie Chang-rui Liu Yang Liu Yiping Song 96 0 0 22 Apr 2025
Expert-elicitation method for non-parametric joint priors using normalizing flows F. Bockting Stefan T. Radev Paul-Christian Bürkner BDL 205 2 0 24 Nov 2024
Amortized Bayesian Multilevel Models Daniel Habermann Marvin Schmitt Lars Kühmichel Andreas Bulling Stefan T. Radev Paul-Christian Bürkner 230 4 0 23 Aug 2024
A Deep Learning Method for Comparing Bayesian Hierarchical Models Lasse Elsemüller Martin Schnuerch Paul-Christian Bürkner Stefan T. Radev BDL 63 10 0 27 Jan 2023
$Variational inference of fractional Brownian motion with linear computational complexity$ Variational inference of fractional Brownian motion with linear computational complexity Hippolyte Verdier Franccois Laurent Alhassan Cassé Christian L. Vestergaard Jean-Baptiste Masson 168 7 0 15 Mar 2022
Truncated Marginal Neural Ratio Estimation Benjamin Kurt Miller A. Cole Patrick Forré Gilles Louppe Christoph Weniger 114 38 0 02 Jul 2021
BayesFlow: Learning complex stochastic models with invertible neural networks Stefan T. Radev U. Mertens A. Voss Lynton Ardizzone Ullrich Kothe BDL 292 197 0 13 Mar 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 211 1,717 0 05 Dec 2019
Automatic Posterior Transformation for Likelihood-Free Inference David S. Greenberg M. Nonnenmacher Jakob H. Macke 387 331 0 17 May 2019
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows George Papamakarios D. Sterratt Iain Murray BDL 533 370 0 18 May 2018
TensorFlow Distributions Joshua V. Dillon I. Langmore Dustin Tran E. Brevdo Srinivas Vasudevan David A. Moore Brian Patton Alexander A. Alemi Matt Hoffman Rif A. Saurous GP 107 352 0 28 Nov 2017
ELFI: Engine for Likelihood-Free Inference Jarno Lintusaari H. Vuollekoski A. Kangasrääsiö Kusti Skytén Marko Jarvenpaa Pekka Marttinen Michael U. Gutmann Aki Vehtari J. Corander Samuel Kaski 58 73 0 02 Aug 2017
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 433 18,361 0 27 May 2016