Why Hyperbolic Geometry Isn’t Delivering in AI Model Training—And What Researchers Should Know
Hyperbolic contrastive learning consistently underperforms traditional Euclidean methods on practical benchmarks. Researchers explore why sophisticated geometric approaches struggle with optimization dynamics, numerical stability, and data structure alignment in real-world machine learning applications.
