nonlinear dynamical system

Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling L4DC 2020 Learning nonlinear dynamical systems from a single trajectory L4DC 2020 NeuralExplorer: State Space Exploration of Closed Loop Control Systems Using Neural Networks L4DC 2020 Optimizing Neural Networks via Koopman Operator Theory NeurIPS 2020 Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems ICML 2019 Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs AISTATS 2019 Kernel Learning for Data-Driven Spectral Analysis of Koopman Operators ACML 2019 Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling ICLR 2019 Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition NeurIPS 2017 Complexity in Prosody: A Nonlinear Dynamical Systems Approach for Dyadic Conversations; Behavior and Outcomes in Couples Therapy Interspeech 2016 Fast Parameter Inference in Nonlinear Dynamical Systems using Iterative Gradient Matching ICML 2016 Input-Output Non-Linear Dynamical Systems applied to Physiological Condition Monitoring MLHC 2016 Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images NeurIPS 2015 Variational Gaussian Process State-Space Models NeurIPS 2014 Augmented-SVM: Automatic space partitioning for combining multiple non-linear dynamics NeurIPS 2012 A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NeurIPS 2006 Blind Source Recovery: A Framework in the State Space JMLR 2003