38 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of StuttgartDE22 papers
- Simulation Technologies (United States)US2 papers
- American Institute of Aeronautics and AstronauticsUS1 paper
- AO FoundationCH1 paper
- Chalmers University of TechnologySE1 paper
- Delft University of TechnologyNL1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- Flatiron Health (United States)US1 paper
- Flatiron Institute1 paper
- Heidelberg UniversityDE1 paper
- Karlsruhe Institute of TechnologyDE1 paper
- Laboratoire de Probabilités, Statistique et ModélisationFR1 paper
Showing 2022 · cs.LGShow all
2 papers · 2 filters
cs.LG2022★ 6 cited
Certified machine learning: Rigorous a posteriori error bounds for PDE defined PINNs
Birgit Hillebrecht, Benjamin Unger
Prediction error quantification in machine learning has been left out of most methodological investigations of neural networks, for both purely data-driven and physics-informed app…
cs.LG2022★ 11 cited
Certified machine learning: A posteriori error estimation for physics-informed neural networks
Birgit Hillebrecht, Benjamin Unger
Physics-informed neural networks (PINNs) are one popular approach to incorporate a priori knowledge about physical systems into the learning framework. PINNs are known to be robust…