dynamical system

Efficient and Flexible Inference for Stochastic Systems NeurIPS 2017 Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations NeurIPS 2017 Learning Dynamics Across Similar Spatiotemporally-Evolving Physical Systems CoRL 2017 Learning Models for Shared Control of Human-Machine Systems with Unknown Dynamics RSS 2017 Learning Partially Contracting Dynamical Systems from Demonstrations CoRL 2017 Learning Robot Objectives from Physical Human Interaction CoRL 2017 Model-Based Control Using Koopman Operators RSS 2017 Predictive State Recurrent Neural Networks NeurIPS 2017 Random Projection Filter Bank for Time Series Data NeurIPS 2017 Scalable Variational Inference for Dynamical Systems NeurIPS 2017 VCV Synthesis Using Task Dynamics to Animate a Factor-Based Articulatory Model Interspeech 2017 Characterizing Vocal Tract Dynamics Across Speakers Using Real-Time MRI Interspeech 2016 Coordinated multi-arm motion planning: Reaching for moving objects in the face of uncertainty RSS 2016 Dynamic Mode Decomposition with Reproducing Kernels for Koopman Spectral Analysis NeurIPS 2016 Fast Parameter Inference in Nonlinear Dynamical Systems using Iterative Gradient Matching ICML 2016 Gradient Descent Only Converges to Minimizers COLT 2016 Interpretable Nonlinear Dynamic Modeling of Neural Trajectories NeurIPS 2016 Kernel Observers: Systems-Theoretic Modeling and Inference of Spatiotemporally Evolving Processes NeurIPS 2016 Learning to Filter with Predictive State Inference Machines ICML 2016 Planning for Autonomous Cars that Leverage Effects on Human Actions RSS 2016 Poisson-Gamma dynamical systems NeurIPS 2016 Safe Control under Uncertainty with Probabilistic Signal Temporal Logic RSS 2016 Spectral Learning of Dynamic Systems from Nonequilibrium Data NeurIPS 2016 Variational Dependent Multi-output Gaussian Process Dynamical Systems JMLR 2016 A General Analysis of the Convergence of ADMM ICML 2015