conftrace_

dynamical system

398 papers

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DS

Co-occurring keywords

neural network (6616) recurrent neural network (1790) gaussian process (1200) variational inference (2069) time series (435) neural ordinary differential equation (139) graph neural network (3962) ordinary differential equation (139) koopman operator (38) bayesian inference (1907)

Papers

Safe Control under Uncertainty with Probabilistic Signal Temporal Logic RSS 2016
Planning for Autonomous Cars that Leverage Effects on Human Actions RSS 2016
Characterizing Vocal Tract Dynamics Across Speakers Using Real-Time MRI INTERSPEECH 2016
Fast Parameter Inference in Nonlinear Dynamical Systems using Iterative Gradient Matching ICML 2016
Learning to Filter with Predictive State Inference Machines ICML 2016
Coordinated multi-arm motion planning: Reaching for moving objects in the face of uncertainty RSS 2016
Variational Dependent Multi-output Gaussian Process Dynamical Systems JMLR 2016
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images NIPS 2015
Supervised Learning for Dynamical System Learning NIPS 2015
A General Analysis of the Convergence of ADMM ICML 2015
Sensor Selection for Crowdsensing Dynamical Systems AISTATS 2015
Interactive Control of Diverse Complex Characters with Neural Networks NIPS 2015
Variational Gaussian Process State-Space Models NIPS 2014
Modeling robot discrete movements with state-varying stiffness and damping: A framework for integrated motion generation and impedance control RSS 2014
Robust learning of low-dimensional dynamics from large neural ensembles NIPS 2013
On the difficulty of training recurrent neural networks ICML 2013
Modelling Sparse Dynamical Systems with Compressed Predictive State Representations ICML 2013
Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems NIPS 2013
A memory frontier for complex synapses NIPS 2013
Mixed LICORS: A Nonparametric Algorithm for Predictive State Reconstruction AISTATS 2013
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC NIPS 2013
On autoencoder scoring ICML 2013
Augmented-SVM: Automatic space partitioning for combining multiple non-linear dynamics NIPS 2012
Spectral learning of linear dynamics from generalised-linear observations with application to neural population data NIPS 2012
Bayesian Inference for Change Points in Dynamical Systems with Reusable States - a Chinese Restaurant Process Approach AISTATS 2012