This is a 3 days lunch-to-lunch event with international and local speakers. We broadly cover topics related to Structured Learning, targeting specifically the following questions:

1. How can we encode structure (e.g., scientific domain knowledge) into learning systems?
2. How does domain knowledge affect uncertainty quantification and out-of-distribution predictions?
3. Can these insights enable us to solve problems in a data and computationally-efficient manner? We will have a particular focus on inverse and surrogate modeling.
4. How can these strategies help scientific discovery?
    

Location: A Working Lab, Chalmers Campus Johanneberg

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