Deep Learning for Lyapunov Exponent Estimation

Harness deep learning to estimate Lyapunov exponents, unlocking insights into the stability and predictability of complex dynamical systems.

Foundations of Lyapunov Exponents and Dynamical Systems

Unit 1: Introduction to Dynamical Systems

Unit 2: Chaos Theory and Lyapunov Exponents

Unit 3: Traditional Estimation Methods & Limitations

Deep Learning for Dynamical Systems Modeling

Unit 1: Introduction to RNNs for Dynamical Systems

Unit 2: Training RNNs for Prediction

Unit 3: Challenges and Mitigation Strategies

Hybrid Methods for Lyapunov Exponent Estimation

Unit 1: Combining DL Models with Traditional Methods

Unit 2: Feature Extraction from DL Models

Unit 3: Uncertainty Quantification

Applications and Advanced Topics

Unit 1: Lyapunov Exponents in Finance

Unit 2: Climate Science Applications

Unit 3: Engineering Applications

Unit 4: Advanced Topics