"Can Machine Learning Predict Chaos? This Paper from UT Austin Performs a Large-Scale Comparison of Modern Forecasting Methods on a Giant Dataset of 135 Chaotic

"Can Machine Learning Predict Chaos? This Paper from UT Austin Performs a Large-Scale Comparison of Modern Forecasting Methods on a Giant Dataset of 135 Chaotic Systems" https://www.marktechpost.com/2023/12/25/can-machine-learning-predict-chaos-this-paper-from-ut-austin-performs-a-large-scale-comparison-of-modern-forecasting-methods-on-a-giant-dataset-of-135-chaotic-systems/?amp https://www.marktechpost.com/2023/12/25/can-machine-learning... : From https://twitter.com/wgilpin0/status/1737934964757565848 https://twitter.com/wgilpin0/status/1737934964757565848 : > I found that large domain-agnostic models (Transformers, LSTM, etc) can forecast chaos really far into the future (>10 Lyapunov times). With enough training history, they outperform physics methods (next-gen reservoir computers, neural ODE, etc).