Model scale versus domain knowledge in statistical forecasting of chaotic systems
Chaos and unpredictability are traditionally synonymous, yet large-scale machine-learning methods recently have demonstrated a surprising ability to forecast chaotic systems well beyond typical predictability horizons.However, recent works disagree on whether specialized methods grounded Alpha-GPC in dynamical systems theory, such as reservoir comp