sbi reloaded: a toolkit for simulation-based inference workflows

Jan 1, 2025·
Jan Boelts
,
Michael Deistler
,
Manuel Glöckler
,
Álvaro Tejero-Cantero
,
Jan-Matthis Lueckmann
,
Guy Moss
,
Peter Steinbach
,
Thomas Moreau
,
Fabio Muratore
,
Julia Linhart
,
Conor Durkan
,
Julius Vetter
,
Benjamin Kurt Miller
,
Maternus Herold
,
Abolfazl Ziaeemehr
,
Matthijs Pals
,
Theo Gruner
,
Sebastian Bischoff
,
Nastya Krouglova
,
Richard Gao
,
Janne K. Lappalainen
,
Bálint Mucsányi
,
Felix Pei
,
Auguste Schulz
,
Zinovia Stefanidi
,
Pedro Rodrigues
,
Cornelius Schröder
,
Faried Abu Zaid
,
Jonas Beck
,
Jaivardhan Kapoor
,
David S. Greenberg
,
Pedro J. Gonçalves
,
Jakob H. Macke
· 0 min read
Image credit: sbi toolkit
Abstract
sbi reloaded is a comprehensive toolkit designed to facilitate simulation-based inference workflows. It provides robust tools for probabilistic modeling, simulation, and inference, enabling researchers to efficiently implement and manage complex inference tasks. The toolkit is developed collaboratively by a large team of experts and is openly available to the scientific community.
Type
Publication
Journal of Open Source Software
Simulation-Based Inference Probabilistic Modeling Open Source Scientific Software