3 papers
physics.ao-ph2026
Rescene: band-limited stochastic forcing turns a frozen neural weather operator into a climate emulator
Minjong Cheon
Over the past few years, the rapid development of machine learning (ML) models for weather forecasting has produced deterministic models whose medium-range skill matches or exceeds…
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…