2026
A Geometric Lens on Physics-Aligned Data Compression
ICML 2026poster
In AI for Science, physics-informed losses are becoming popular to train learned compressors, but their rate-distortion consequences are poorly understood. We formalise this problem via a geometric framework, showing that physics-aware compression is governed by the interaction of two Riemannian str…