dynamical system

Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks L4DC 2023 ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction ICML 2023 Continuous-time identification of dynamic state-space models by deep subspace encoding ICLR 2023 Data-driven memory-dependent abstractions of dynamical systems L4DC 2023 Distributionally Robust Lyapunov Function Search Under Uncertainty L4DC 2023 DLKoopman: A deep learning software package for Koopman theory L4DC 2023 Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? IJCAI 2023 Dynamics-inspired Neuromorphic Visual Representation Learning ICML 2023 Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning ICML 2023 Equilibrium Point Learning ACML 2023 Estimating Koopman operators with sketching to provably learn large scale dynamical systems NeurIPS 2023 FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities ICLR 2023 Generalized Teacher Forcing for Learning Chaotic Dynamics ICML 2023 Geometric Clifford Algebra Networks ICML 2023 Guaranteed Conformance of Neurosymbolic Models to Natural Constraints L4DC 2023 Koopman Kernel Regression NeurIPS 2023 Latent Field Discovery in Interacting Dynamical Systems with Neural Fields NeurIPS 2023 Learning Efficient Surrogate Dynamic Models with Graph Spline Networks NeurIPS 2023 Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium IJCAI 2023 Learning the dynamics of autonomous nonlinear delay systems L4DC 2023 Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains ICML 2023 Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed! ICML 2023 Modulated Neural ODEs NeurIPS 2023 Multi Time Scale World Models NeurIPS 2023 Multi-view Collaborative Gaussian Process Dynamical Systems JMLR 2023