Simulation-based Inference for scientific discovery
Online via Zoom
You use simulation in physics, economics, archaeology or any other domain of your choice? You want to find the simulator's parameters that best fits the observations? Then simulation-based inference is something for you!
We teach a practical simulation-based inference workshop to help you understand recent machine learning techniques and apply them to your problem. We plan to cover the following topics:
- Day 1: Using simulators for discovery, introduction to conditional density estimation.
- a discussion of simulators
- parameter inference
- Bayesian Inference without Likelihoods
- Day 2: How does neural simulation-based inference work?
- Bayes' Rule with neural density estimators
- posterior estimation (SNPE)
- likelihood estimation (SNLE and beyond)
- Day 3: Applying the sbi toolbox to your problem. Pitfalls, tricks and opportunities!
- hands-on: sbi
- hands-on: sbi and normalizing flows
- hands-on: calibration or misspecification
- bring your own data
Apply to learn, have fun, and participate in a supportive and inclusive community. The workshop will combine lectures and practical hands-on sessions by experts in the field. We strive to provide a seamless computing environment for you to focus on the content rather than in import errors.
Code of Conduct
We believe that a diverse and welcoming environment is key for a successful workshop, regardless of background or identity. To ensure that everyone in our event feel comfortable, supported and respected, we elaborated a Code of Conduct, you accept to abide by while taking part in this workshop.
Interested?
Due to teaching capacity, we can only select 20 participants for the workshop. To come up with that list, we have formed a small selection board and made this decision until end of August, 2021. We will inform successful applicants subsequently.
When & Where?
20-22 September, 9am - 5pm CEST
We will circulate the zoom link to all accepted learners.
Any other Questions?
Join our simulation-based inference discussion forum in Zulip (you are welcome whether a participant or not!)
Instructors and Support
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Jan-Matthis Lückmann |
Daniela Huppenkothen |
Helmholtz AI & Helmholtz-Zentrum Hereon |
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Jan Bölts |
Michael Deistler |
Peter Steinbach |
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Álvaro Tejero-Cantero |
Pedro J. Gonçalves |
Organisational Team
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Álvaro Tejero-Cantero |
Elena Sizana |
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Stefan Wezel |
Peter Steinbach |
Supporting Organisations
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