Interests
- Machine learning
- Bayesian theory
- Geometric machine learning
Latest
- Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels
- Willie Neiswanger: Going Beyond Global Optima with Bayesian Algorithm Execution
- Matérn Gaussian Processes on Graphs
- Thu Nguyen Phuoc: Neural rendering and inverse rendering using physical inductive biases
- Matérn Gaussian Processes on Riemannian Manifolds
- Learning Contact Dynamics using Physically Structured Neural Networks
- Variational Integrator Networks
- Aligning Time Series on Incomparable Space
- Efficiently Sampling Functions from Gaussian Process Posteriors
- Efficiently Sampling Functions from Gaussian Process Posteriors
- Matérn Gaussian Processes on Riemannian Manifolds
- Aligning Time Series on Incomparable Spaces
- Variational Integrator Networks for Physically Structured Embeddings
- Michael Lutter: Inductive Biases for Learning Robot Control