chaotic dynamics

Decomposing Ensemble Spread in Lorenz ’96 with Learned Stochastic Parameterizations UAI 2026 ECO: Energy-Constrained Operator Learning for Chaotic Dynamics with Boundedness Guarantees L4DC 2026 A Chaotic Dynamics Framework Inspired by Dorsal Stream for Event Signal Processing ICML 2025 Learning Chaos In A Linear Way ICLR 2025 Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach NeurIPS 2024 Generalized Teacher Forcing for Learning Chaotic Dynamics ICML 2023 Training neural operators to preserve invariant measures of chaotic attractors NeurIPS 2023 Chaotic Dynamics are Intrinsic to Neural Network Training with SGD NeurIPS 2022 Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent NeurIPS 2022 Learned Simulators for Turbulence ICLR 2022 Learning Chaotic Dynamics in Dissipative Systems NeurIPS 2022 On Scrambling Phenomena for Randomly Initialized Recurrent Networks NeurIPS 2022 On the difficulty of learning chaotic dynamics with RNNs NeurIPS 2022 Follow-the-Regularized-Leader Routes to Chaos in Routing Games ICML 2021 Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function NeurIPS 2020 On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing NeurIPS 2008