Marc Deisenroth
Marc Deisenroth
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A Unifying Variational Framework for Gaussian Process Motion Planning
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels
Pathwise Conditioning of Gaussian Processes
Aligning Time Series on Incomparable Spaces
Learning Contact Dynamics using Physically Structured Neural Networks
Matérn Gaussian Processes on Graphs
Matérn Gaussian Processes on Riemannian Manifolds
Efficiently Sampling Functions from Gaussian Process Posteriors
Aligning Time Series on Incomparable Spaces
Variational Integrator Networks for Physically Structured Embeddings
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