dynamical system

Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach AAAI 2024 Simple Cycle Reservoirs are Universal JMLR 2024 Simulation-Free Training of Neural ODEs on Paired Data NeurIPS 2024 Spectral Learning of Shared Dynamics Between Generalized-Linear Processes NeurIPS 2024 Stability Analysis of Switched Linear Systems with Neural Lyapunov Functions AAAI 2024 Stable Implementation of Probabilistic ODE Solvers JMLR 2024 Stochastic Neural Simulator for Generalizing Dynamical Systems across Environments IJCAI 2024 Structural Inference of Dynamical Systems with Conjoined State Space Models NeurIPS 2024 Symmetry-Informed Governing Equation Discovery NeurIPS 2024 Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems NeurIPS 2024 The Attractor of the Replicator Dynamic in Zero-Sum Games ALT 2024 The behavioral toolbox L4DC 2024 Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning ICLR 2024 Understanding the Differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks NeurIPS 2024 When are dynamical systems learned from time series data statistically accurate? NeurIPS 2024 Zero-Shot Transfer of Neural ODEs NeurIPS 2024 Active Learning based Structural Inference ICML 2023 A Dynamical Systems Perspective on Discrete Optimization L4DC 2023 A Dynamical System View of Langevin-Based Non-Convex Sampling NeurIPS 2023 Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections ICLR 2023 Automata Cascades: Expressivity and Sample Complexity AAAI 2023 Automated Reachability Analysis of Neural Network-Controlled Systems via Adaptive Polytopes L4DC 2023 Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis NeurIPS 2023 Bifurcations and loss jumps in RNN training NeurIPS 2023 Combining Slow and Fast: Complementary Filtering for Dynamics Learning AAAI 2023