sbi: A toolkit for simulation-based inference

By Álvaro Tejero-Cantero, Jan Boelts, Michael Deistler, Jan-Matthis Lueckmann, Conor Durkan, Pedro J. Gonccalves, David S. Greenberg, Jakob H. Macke Computational Neuroengineering, D. Electrical, Computer Engineering and 16 more. Journal of Open Source Software, 2020

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e Equally contributing authors 1 Computational Neuroengineering, Department of Electrical and Computer Engineering, Technical University of Munich 2 School of Informatics, University of Edinburgh 3 Neural Systems Analysis, Center of Advanced European Studies and Research (caesar), Bonn 4 Model-Driven Machine Learning, Centre for Materials and Coastal Research, Helmholtz-Zentrum Geesthacht 5 Machine Learning in Science, University of Tübingen 6 Empirical Inference, Max Planck Institute for Intelligent Systems, Tübingen DOI: 10.21105/joss.02505

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f84f2cc648a338a6b1317d039c018dbfb8989b9b