Online, 20, 21 and 22 September 2021, 9am - 5pm CEST.

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Goal

You use simulation in physics, economics, archaeology and want to find the simulator parameters that best fits the observations?

We teach a practical simulation-based inference workshop to help you understand recent machine learning techniques and apply them to your problem.

Apply to learn, have fun, and participate in a supportive community! (applications closed August 31, 2021).

Program


Instructors

We are a group of advanced users, package developers, and sbi researchers.

Álvaro Tejero-Cantero, mlcolab @ Tübingen University

Álvaro Tejero-Cantero, mlcolab @ Tübingen University

Michael Deistler, mackelab @ T├╝bingen University

Michael Deistler, mackelab @ T├╝bingen University

Jan B├Âlts, mackelab @ T├╝bingen University

Jan B├Âlts, mackelab @ T├╝bingen University

Pedro J. Gon├žalves, mackelab @ caesar

Pedro J. Gon├žalves, mackelab @ caesar

Jan-Matthis L├╝ckmann, mackelab @ T├╝bingen University

Jan-Matthis L├╝ckmann, mackelab @ T├╝bingen University

David Greenberg, Helmholtz Zentrum Hereon

David Greenberg, Helmholtz Zentrum Hereon

Organizers

Álvaro Tejero-Cantero, mlcolab @ Tübingen University

Álvaro Tejero-Cantero, mlcolab @ Tübingen University

Peter Steinbach, Helmholtz-Zentrum Dresden-Rossendorf

Peter Steinbach, Helmholtz-Zentrum Dresden-Rossendorf

Alex Gessner, mlcolab @ T├╝bingen University

Alex Gessner, mlcolab @ T├╝bingen University

Stefan Wezel, mlcolab @ T├╝bingen University

Stefan Wezel, mlcolab @ T├╝bingen University