Online, 20, 21 and 22 September 2021, 9am - 5pm CEST.
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... join our Zulip stream on simulation-based inference! We are building a community open to both simulation scientists and machine learning methods researchers.
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).
Álvaro Tejero-Cantero
Introduction to sbi: simulation & inference
Álvaro Tejero-Cantero
Notebook (GitHub)
Pedro J. Gonçalves
PDF slides
Michael Deistler
Notebook (GitHub)
Michael Deistler
Notebook (GitHub)
David Greenberg
Notebook (GitHub)
Jan-Matthis Lückmann
PDF slides
Jan Bölts
Notebook (GitHub)
Jan Bölts
Notebook (GitHub)
Jan Bölts
Notebook (GitHub)
Jan Bölts
PDF slides
Participant led!
N/A
Instructors
We are a group of advanced users, package developers, and sbi researchers.
Organizers
Code of conduct
To ensure a comfortable, supportive, and respectful environment, the workshop was run under a code of conduct. You can download it below.
Any other Questions?
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.