Search Results for author: Leo Huang

Found 3 papers, 1 papers with code

Scaling Gaussian Processes with Derivative Information Using Variational Inference

no code implementations NeurIPS 2021 Misha Padidar, Xinran Zhu, Leo Huang, Jacob R. Gardner, David Bindel

We demonstrate the full scalability of our approach on a variety of tasks, ranging from a high dimensional stellarator fusion regression task to training graph convolutional neural networks on Pubmed using Bayesian optimization.

Gaussian Processes Variational Inference

Density of States Graph Kernels

no code implementations21 Oct 2020 Leo Huang, Andrew Graven, David Bindel

A fundamental problem on graph-structured data is that of quantifying similarity between graphs.

Neural Manifold Ordinary Differential Equations

2 code implementations NeurIPS 2020 Aaron Lou, Derek Lim, Isay Katsman, Leo Huang, Qingxuan Jiang, Ser-Nam Lim, Christopher De Sa

To better conform to data geometry, recent deep generative modelling techniques adapt Euclidean constructions to non-Euclidean spaces.

Density Estimation

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