Uncertainty-aware Safe Planning using Gaussian Process and Neural Control Contraction Metric

Uncertainty-aware Safe Planning using Gaussian Process and Neural Control Contraction Metric

Safe Motion Planning with Tubes and Contraction MetricsПодробнее

Safe Motion Planning with Tubes and Contraction Metrics

Batch simulations and uncertainty quantification in Gaussian process surrogate approximate BayesianПодробнее

Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian

Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian ProcessesПодробнее

Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes

Uncertainty-aware Contact-safe Model-based Reinforcement LearningПодробнее

Uncertainty-aware Contact-safe Model-based Reinforcement Learning

Model Error Propagation via Learned Contraction Metrics for Safe Fdbk. Motion Plan. of Unknown Sys.Подробнее

Model Error Propagation via Learned Contraction Metrics for Safe Fdbk. Motion Plan. of Unknown Sys.

Easy introduction to gaussian process regression (uncertainty models)Подробнее

Easy introduction to gaussian process regression (uncertainty models)

Safety-critical AI Applications | Spectral-normalized Neural Gaussian Process SNGPПодробнее

Safety-critical AI Applications | Spectral-normalized Neural Gaussian Process SNGP

Tube-Certified Trajectory Tracking with Robust Control Contraction MetricsПодробнее

Tube-Certified Trajectory Tracking with Robust Control Contraction Metrics

Safe Learning-based Control Using Gaussian Processes @ IFAC2020Подробнее

Safe Learning-based Control Using Gaussian Processes @ IFAC2020

CoRL 2020, Spotlight Talk 347: Learning Certified Control Using Contraction MetricПодробнее

CoRL 2020, Spotlight Talk 347: Learning Certified Control Using Contraction Metric

Gaussian Process solutions to the tractography problemПодробнее

Gaussian Process solutions to the tractography problem

Marcus Noack - Gaussian Process Approximation & Uncertainty Quantification for Autonomous ExperimentПодробнее

Marcus Noack - Gaussian Process Approximation & Uncertainty Quantification for Autonomous Experiment

NeurIPS 2022: Posterior and Computational Uncertainty in Gaussian ProcessesПодробнее

NeurIPS 2022: Posterior and Computational Uncertainty in Gaussian Processes