Apr 27 – 30, 2026
Faculty of Economics and Management, Czech University of Life Sciences
Europe/Prague timezone

A rigorous framework to certify predictions from physics-informed neural networks

Apr 29, 2026, 12:10 PM
20m
Accept as Oral presentation with Reimbursement Control Theory for Machine Learning SESSION IX
Affiliation of the corresponding author Karlsruhe Institute of Technology
Keywords Physics-informed neural networks, rigorous error bound, a posteriori error estimator, dynamical system, boundary and initial value problem
Preferred type of presentation Oral
Are you a member of COST Action CA24136? Yes, I am a member of COST Action CA24136.
Are you applying for reimbursement? Yes, I am applying for reimbursement

Authors

Birgit Hillebrecht (Karlsruhe Institute of Technology) Prof. Benjamin Unger (Karlsruhe Institute of Technology)

Presentation materials

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