system identification

Constrained Physical-Statistics Models for Dynamical System Identification and Prediction ICLR 2022 Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations NeurIPS 2022 Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs AISTATS 2022 Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios ICLR 2022 Improved rates for prediction and identification of partially observed linear dynamical systems ALT 2022 Learning Deep Input-Output Stable Dynamics NeurIPS 2022 Learning Linear Complementarity Systems L4DC 2022 Learning to Control Linear Systems can be Hard COLT 2022 Robust Policy Learning over Multiple Uncertainty Sets ICML 2022 Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data NeurIPS 2022 Vision-based System Identification and 3D Keypoint Discovery using Dynamics Constraints L4DC 2022 Accelerated Concurrent Learning Algorithms via Data-Driven Hybrid Dynamics and Nonsmooth ODEs L4DC 2021 A New Objective for Identification of Partially Observed Linear Time-Invariant Dynamical Systems from Input-Output Data L4DC 2021 Automating Discovery of Physics-Informed Neural State Space Models via Learning and Evolution L4DC 2021 Differentiable Simulation of Soft Multi-body Systems NeurIPS 2021 Exact Asymptotics for Linear Quadratic Adaptive Control JMLR 2021 Finite Time LTI System Identification JMLR 2021 Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems L4DC 2021 gradSim: Differentiable simulation for system identification and visuomotor control ICLR 2021 How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control? L4DC 2021 Learning from Censored and Dependent Data: The case of Linear Dynamics COLT 2021 Learning local modules in dynamic networks L4DC 2021 Learning Nonparametric Volterra Kernels with Gaussian Processes NeurIPS 2021 Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples L4DC 2021 Learning Recurrent Neural Net Models of Nonlinear Systems L4DC 2021