dynamical system

Trainability, Expressivity and Interpretability in Gated Neural ODEs ICML 2023 Training neural operators to preserve invariant measures of chaotic attractors NeurIPS 2023 Understanding Self-attention Mechanism via Dynamical System Perspective ICCV 2023 Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model NeurIPS 2023 Untangled: A Complete Dynamic Topological Logic AAAI 2023 User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems ICML 2023 A Dynamical System Perspective for Lipschitz Neural Networks ICML 2022 AFRNN: Stable RNN with Top Down Feedback and Antisymmetry ACML 2022 An Algorithm for Learning Switched Linear Dynamics from Data NeurIPS 2022 An Operator Theoretic View On Pruning Deep Neural Networks ICLR 2022 A Regret Minimization Approach to Multi-Agent Control ICML 2022 A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis L4DC 2022 Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows AAAI 2022 Capturing actionable dynamics with structured latent ordinary differential equations UAI 2022 Constants of motion network NeurIPS 2022 Constrained Physical-Statistics Models for Dynamical System Identification and Prediction ICLR 2022 D-CODE: Discovering Closed-form ODEs from Observed Trajectories ICLR 2022 Diffeomorphic Transforms for Generalised Imitation Learning L4DC 2022 Distilling Governing Laws and Source Input for Dynamical Systems from Videos IJCAI 2022 Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification NeurIPS 2022 Expressivity of Neural Networks via Chaotic Itineraries beyond Sharkovsky’s Theorem AISTATS 2022 Extracting computational mechanisms from neural data using low-rank RNNs NeurIPS 2022 Finite Sample Analysis Of Dynamic Regression Parameter Learning NeurIPS 2022 Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems AAAI 2022 iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data ICLR 2022