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Brooks Paige

Improving VAE-based Representation Learning

May 28, 2022
Mingtian Zhang, Tim Z. Xiao, Brooks Paige, David Barber

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Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes

Nov 08, 2021
Hugh Dance, Brooks Paige

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I Don't Need $\mathbf{u}$: Identifiable Non-Linear ICA Without Side Information

Jun 09, 2021
Matthew Willetts, Brooks Paige

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* 11 pages plus appendix

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Barking up the right tree: an approach to search over molecule synthesis DAGs

Dec 21, 2020
John Bradshaw, Brooks Paige, Matt J. Kusner, Marwin H. S. Segler, José Miguel Hernández-Lobato

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* To appear in Advances in Neural Information Processing Systems 2020

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Bayesian Graph Neural Networks for Molecular Property Prediction

Nov 25, 2020
George Lamb, Brooks Paige

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* Presented at NeurIPS 2020 Machine Learning for Molecules workshop

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Making Graph Neural Networks Worth It for Low-Data Molecular Machine Learning

Nov 24, 2020
Aneesh Pappu, Brooks Paige

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Goal-directed Generation of Discrete Structures with Conditional Generative Models

Oct 23, 2020
Amina Mollaysa, Brooks Paige, Alexandros Kalousis

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