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Diffusion Models for Constrained Domains


Apr 11, 2023
Nic Fishman, Leo Klarner, Valentin De Bortoli, Emile Mathieu, Michael Hutchinson

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Spectral Diffusion Processes


Sep 28, 2022
Angus Phillips, Thomas Seror, Michael Hutchinson, Valentin De Bortoli, Arnaud Doucet, Emile Mathieu

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* 16 pages, 11 figures, submitted to Score-based Method Workshop at 36th Conference on Neural Information Processing Systems (NeurIPS 2022) 

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Riemannian Diffusion Schrödinger Bridge


Jul 07, 2022
James Thornton, Michael Hutchinson, Emile Mathieu, Valentin De Bortoli, Yee Whye Teh, Arnaud Doucet

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* Accepted to Continuous Time Methods for Machine Learning, ICML 2022 

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Riemannian Score-Based Generative Modeling


Feb 06, 2022
Valentin De Bortoli, Emile Mathieu, Michael Hutchinson, James Thornton, Yee Whye Teh, Arnaud Doucet

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* 31 pages 

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Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels


Nov 25, 2021
Michael Hutchinson, Alexander Terenin, Viacheslav Borovitskiy, So Takao, Yee Whye Teh, Marc Peter Deisenroth

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* Advances in Neural Information Processing Systems, 2021 

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Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Equivariant Projected Kernels


Oct 28, 2021
Michael Hutchinson, Alexander Terenin, Viacheslav Borovitskiy, So Takao, Yee Whye Teh, Marc Peter Deisenroth

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* Advances in Neural Information Processing Systems, 2021 

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LieTransformer: Equivariant self-attention for Lie Groups


Dec 20, 2020
Michael Hutchinson, Charline Le Lan, Sheheryar Zaidi, Emilien Dupont, Yee Whye Teh, Hyunjik Kim

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Equivariant Conditional Neural Processes


Nov 25, 2020
Peter Holderrieth, Michael Hutchinson, Yee Whye Teh

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Differentially Private Federated Variational Inference


Nov 24, 2019
Mrinank Sharma, Michael Hutchinson, Siddharth Swaroop, Antti Honkela, Richard E. Turner

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* Privacy in Machine Learning Workshop (PriML 2019) at the 33rd Conference in Neural Information and Processing Systems (NeurIPS) 

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