dynamical system

Liquid Time-constant Networks AAAI 2021 Machine learning structure preserving brackets for forecasting irreversible processes NeurIPS 2021 Neural Delay Differential Equations ICLR 2021 Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions NeurIPS 2021 Neural Lyapunov Redesign L4DC 2021 Neural Relational Inference with Efficient Message Passing Mechanisms AAAI 2021 Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate Systems NeurIPS 2021 On exploration requirements for learning safety constraints L4DC 2021 Online Learning and Control of Complex Dynamical Systems from Sensory Input NeurIPS 2021 Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with $\sqrt$T Regret ICML 2021 On Smoother Attributions using Neural Stochastic Differential Equations IJCAI 2021 On the Memory Mechanism of Tensor-Power Recurrent Models AISTATS 2021 Optimization with Momentum: Dynamical, Control-Theoretic, and Symplectic Perspectives JMLR 2021 Parameter Inference with Bifurcation Diagrams NeurIPS 2021 PDE-Driven Spatiotemporal Disentanglement ICLR 2021 Physics-aware, probabilistic model order reduction with guaranteed stability ICLR 2021 Physics-informed Spline Learning for Nonlinear Dynamics Discovery IJCAI 2021 PID Accelerated Value Iteration Algorithm ICML 2021 Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems NeurIPS 2021 Roto-translated Local Coordinate Frames For Interacting Dynamical Systems NeurIPS 2021 Safely Learning Dynamical Systems from Short Trajectories L4DC 2021 Segmenting Hybrid Trajectories using Latent ODEs ICML 2021 Spatially Structured Recurrent Modules ICLR 2021 Stability and Identification of Random Asynchronous Linear Time-Invariant Systems L4DC 2021 Stabilizing Dynamical Systems via Policy Gradient Methods NeurIPS 2021