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Leo Huang

2 accepted papers

2021

Scaling Gaussian Processes with Derivative Information Using Variational Inference

NeurIPS 2021poster

Gaussian processes with derivative information are useful in many settings where derivative information is available, including numerous Bayesian optimization and regression tasks that arise in the natural sciences. Incorporating derivative observations, however, comes with a dominating $O(N^3D^3)$…

Cited by 21SourcePDFScholar
2020

Neural Manifold Ordinary Differential Equations

NeurIPS 2020poster

To better conform to data geometry, recent deep generative modelling techniques adapt Euclidean constructions to non-Euclidean spaces. In this paper, we study normalizing flows on manifolds. Previous work has developed flow models for specific cases; however, these advancements hand craft layers on…

Cited by 98SourcePDFScholar