Gianmarco Mengaldo

DAW: Dynamics-Aware Weighting for Deep Learning Forecasts of Chaotic Systems

DAW reshapes the loss landscape to allocate representational capacity toward the sparse, high-d regimes where forecast errors are systematically large, and consistently outperforms uniform training, purely statistical density weighting, and its randomly permuted ablation on the chaotic KS equation.