53 citations · 158 across the 12 of their papers we have counts for
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cs.LG2023
Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in Medical Images
Lisa M. Koch, Christian M. Schürch, Christian F. Baumgartner +2
Distribution shifts remain a fundamental problem for the safe application of machine learning systems. If undetected, they may impact the real-world performance of such systems or…
cs.AI2023★ 10 cited
AI for Science: An Emerging Agenda
Philipp Berens, Kyle Cranmer, Neil D. Lawrence +2
This report documents the programme and the outcomes of Dagstuhl Seminar 22382 "Machine Learning for Science: Bridging Data-Driven and Mechanistic Modelling". Today's scientific ch…