sbi reloaded: A toolkit for simulation-based inference workflows

We present sbi reloaded, a comprehensive update to the sbi Python package that provides researchers with state-of-the-art algorithms and tools for simulation-based inference workflows across scientific domains.

April 2025 · Jan Boelts*, Michael Deistler*, Manuel Gloeckler, 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

sbi: A toolkit for simulation-based inference

We introduce sbi, a Python package providing a unified interface for simulation-based inference methods, making these powerful techniques accessible to researchers across disciplines.

August 2020 · Álvaro Tejero-Cantero*, Jan Boelts*, Michael Deistler*, Jan-Matthis Lueckmann*, Conor Durkan*, Pedro J. Gonçalves, David S. Greenberg, Jakob H. Macke