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cs.LG2026
Beyond Linear Superposition: Discovering Climate Features in AI Weather Models with KAN-SAE
Minjong Cheon
Deep learning weather prediction models achieve remarkable predictive skill yet remain largely opaque: we know little about how they represent physical climate phenomena internally…
cs.LG2026
KAN-CL: Per-Knot Importance Regularization for Continual Learning with Kolmogorov-Arnold Networks
Minjong Cheon
Catastrophic forgetting remains the central obstacle in continual learning (CL): parameters shared across tasks interfere with one another, and existing regularization methods such…