system identification

Near optimal finite time identification of arbitrary linear dynamical systems ICML 2019 Receding Horizon Curiosity CoRL 2019 Safe Partial Diagnosis from Normal Observations AAAI 2019 Switching Linear Dynamics for Variational Bayes Filtering ICML 2019 TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer CoRL 2019 Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations JMLR 2018 Differentiable MPC for End-to-end Planning and Control NeurIPS 2018 Gradient Descent Learns Linear Dynamical Systems JMLR 2018 Graph Networks as Learnable Physics Engines for Inference and Control ICML 2018 Learning Equations for Extrapolation and Control ICML 2018 Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification COLT 2018 PDE-Net: Learning PDEs from Data ICML 2018 Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator NeurIPS 2018 Sim-to-Real: Learning Agile Locomotion For Quadruped Robots RSS 2018 Spectral Filtering for General Linear Dynamical Systems NeurIPS 2018 Identification of Gaussian Process State Space Models NeurIPS 2017 Learning Stable Stochastic Nonlinear Dynamical Systems ICML 2017 Model-Based Control Using Koopman Operators RSS 2017 Neural system identification for large populations separating “what” and “where” NeurIPS 2017 Preparing for the Unknown: Learning a Universal Policy with Online System Identification RSS 2017 Stepsize Control for Acoustic Feedback Cancellation Based on the Detection of Reverberant Signal Periods and the Estimated System Distance Interspeech 2017 Computationally Efficient Bayesian Learning of Gaussian Process State Space Models AISTATS 2016 Supervised Learning for Dynamical System Learning NeurIPS 2015 A Spectral Learning Approach to Range-Only SLAM ICML 2013 Spectral learning of linear dynamics from generalised-linear observations with application to neural population data NeurIPS 2012