conftrace_

system identification

99 papers

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Co-occurring keywords

dynamical system (398) linear dynamical system (86) gaussian process (1200) nonlinear system (36) parameter estimation (274) adaptive control (47) robust control (56) neural network (6616) optimal control (218) sample complexity (1169)

Papers

Sim-to-Real: Learning Agile Locomotion For Quadruped Robots RSS 2018
PDE-Net: Learning PDEs from Data ICML 2018
Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification COLT 2018
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations JMLR 2018
Learning Equations for Extrapolation and Control ICML 2018
Spectral Filtering for General Linear Dynamical Systems NIPS 2018
Differentiable MPC for End-to-end Planning and Control NIPS 2018
Preparing for the Unknown: Learning a Universal Policy with Online System Identification RSS 2017
Identification of Gaussian Process State Space Models NIPS 2017
Neural system identification for large populations separating “what” and “where” NIPS 2017
Stepsize Control for Acoustic Feedback Cancellation Based on the Detection of Reverberant Signal Periods and the Estimated System Distance INTERSPEECH 2017
Learning Stable Stochastic Nonlinear Dynamical Systems ICML 2017
Model-Based Control Using Koopman Operators RSS 2017
Computationally Efficient Bayesian Learning of Gaussian Process State Space Models AISTATS 2016
Supervised Learning for Dynamical System Learning NIPS 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 NIPS 2012
A General Linear Non-Gaussian State-Space Model: Identifiability, Identification, and Applications ACML 2011
Identifying Dendritic Processing NIPS 2010
Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NIPS 2010
Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming JMLR 2008
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems NIPS 2007
Unsupervised Regression with Applications to Nonlinear System Identification NIPS 2006
A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics RSS 2006