Small Workshop about equivariant methods for machine learning applications

Update 14.06.2022:

We are happy to announce that we are able to accept all applications for attendance given that we have managed to find a larger lecture hall on EPFL campus.

The workshop will focus on equivariant machine learning for the physical sciences in Lausanne during the 11-14th of July.

This workshop will comprise:

A few, largely pedagogical, talks put together jointly by two experts try to understand the current state of the field from various perspectives, highlighting similarities and differences between methods as well as open questions
Space for a number of hands-on tutorials to demonstrate a code or tool with the idea being that participants have something tangible to take away and use after the meeting (e.g. a jupyter notebook, runnable scripts, etc)
A number of discussion sessions where we dig deeper into particular topics or ideas so as to capitalise on the presence of numerous experts, and finally,
A number of more traditional applications or methods contributed talks to understand the breadth of applicability of these new learning models and perhaps discuss challenges faced when training such models.