Welcome to the 2024 workshop hosted by the CHAIR theme Structured learning, which is held for the second year.
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:
- How can we encode structure (e.g., scientific domain knowledge) into learning systems?
- How does domain knowledge affect uncertainty quantification and out-of-distribution predictions?
- 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.
- How can these strategies help scientific discovery?
Location: A Working Lab, Chalmers Campus Johanneberg