GATSBI: Generative Adversarial Training for Simulation-Based Inference

GATSBI: Generative Adversarial Training for Simulation-Based Inference

12 March 2022

Poornima Ramesh

Jan-Matthis Lueckmann

Álvaro Tejero-Cantero

David S. Greenberg

P. J. Gonçalves

Jakob H. Macke

Papers citing "GATSBI: Generative Adversarial Training for Simulation-Based Inference"

8 / 8 papers shown

Title
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 Surface Accumulation and Basal Melt Rates of an Antarctic Ice Shelf from Isochronal Layers Guy Moss V. Višnjević Olaf Eisen Falk M. Oraschewski Cornelius Schroder Jakob H. Macke R. Drews 6 1 0 03 Dec 2023
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference Pablo Lemos A. Coogan Y. Hezaveh Laurence Perreault Levasseur 27 30 0 06 Feb 2023
Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization Lorenzo Pacchiardi Ritabrata Dutta TPM BDL UQCV GAN 13 18 0 31 May 2022
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks Marvin Schmitt Paul-Christian Burkner Ullrich Kothe Stefan T. Radev 22 34 0 16 Dec 2021
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 96 184 0 12 Jan 2021
Easy High-Dimensional Likelihood-Free Inference Vinay Jethava Devdatt Dubhashi BDL GAN 72 3 0 29 Nov 2017
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,387 0 21 Nov 2016