sbi reloaded: a toolkit for simulation-based inference workflows

Scientists and engineers use simulators to model empirically observed phenomena. However, tuning the parameters of a simulator to ensure its outputs match observed data presents a significant challenge. Simulation-based inference (SBI) addresses this by enabling Bayesian inference for simulators, id...

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Hauptverfasser:	Boelts, Jan, Deistler, Michael, Gloeckler, Manuel, Tejero-Cantero, Álvaro, Lueckmann, Jan-Matthis, Moss, Guy, Steinbach, Peter, Moreau, Thomas, Muratore, Fabio, Linhart, Julia, Durkan, Conor, Vetter, Julius, Miller, Benjamin Kurt, Herold, Maternus, Ziaeemehr, Abolfazl, Pals, Matthijs, Gruner, Theo, Bischoff, Sebastian, Krouglova, Nastya, Gao, Richard, Lappalainen, Janne K, Mucsányi, Bálint, Pei, Felix, Schulz, Auguste, Stefanidi, Zinovia, Rodrigues, Pedro, Schröder, Cornelius, Zaid, Faried Abu, Beck, Jonas, Kapoor, Jaivardhan, Greenberg, David S, Gonçalves, Pedro J, Macke, Jakob H
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning
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