Alexander Terenin

Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn 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
Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models
Asynchronous Gibbs Sampling
Variational Integrator Networks for Physically Meaningful Embeddings

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