Online, 20, 21 and 22 September 2021, 9am - 5pm CEST.
👻 missed this workshop?
There will be future editions - stay tuned on Twitter or ...
... join our Zulip stream on simulation-based inference! We are building a community open to both simulation scientists and machine learning methods researchers.
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).
We are a group of advanced users, package developers, and sbi researchers.
Álvaro Tejero-Cantero, mlcolab @ Tübingen University
Michael Deistler, mackelab @ Tübingen University
Jan Bölts, mackelab @ Tübingen University
Pedro J. Gonçalves, mackelab @ caesar
Jan-Matthis Lückmann, mackelab @ Tübingen University
David Greenberg, Helmholtz Zentrum Hereon
Álvaro Tejero-Cantero, mlcolab @ Tübingen University
Peter Steinbach, Helmholtz-Zentrum Dresden-Rossendorf
Alex Gessner, mlcolab @ Tübingen University
Stefan Wezel, mlcolab @ Tübingen University
Daniela Huppenkothen, SRON Netherlands Institute for Space Research
Elena Sizana, mlcolab @ Tübingen University
Cluster of excellence Machine Learning, Uni Tübingen
To ensure a comfortable, supportive, and respectful environment, the workshop was run under a code of conduct. You can download it below.
SBI_Workshop-Code_of_Conduct.pdf
Our Zulip stream on simulation-based inference is open to both simulation scientists and machine learning methods researchers. Please write to Elena Sizana if you have trouble joining.