Matthew A. Price | DeepAI

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Featured Co-authors

Xiaohao Cai
22 publications
Jason D. McEwen
20 publications
Marcelo Pereyra
19 publications
Christopher G. R. Wallis
4 publications
Luke Pratley
2 publications
Alessio Spurio Mancini
2 publications
Tobías I. Liaudat
1 publication
Alicja Polanska
1 publication
Matthew M. Docherty
1 publication
Jeremy Ocampo
1 publication

∙ 06/30/2023

Proximal nested sampling with data-driven priors for physical scientists

Proximal nested sampling was introduced recently to open up Bayesian mod...

0 Jason D. McEwen, et al. ∙

∙ 06/30/2023

Learned harmonic mean estimation of the marginal likelihood with normalizing flows

Computing the marginal likelihood (also called the Bayesian model eviden...

0 Alicja Polanska, et al. ∙

∙ 09/27/2022

Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions

No existing spherical convolutional neural network (CNN) framework is bo...

0 Jeremy Ocampo, et al. ∙

∙ 11/24/2021

Machine learning assisted Bayesian model comparison: learnt harmonic mean estimator

We resurrect the infamous harmonic mean estimator for computing the marg...

0 Jason D. McEwen, et al. ∙

∙ 05/12/2021

Bayesian variational regularization on the ball

We develop variational regularization methods which leverage sparsity-pr...

0 Matthew A. Price, et al. ∙

∙ 05/11/2021

Sparse image reconstruction on the sphere: a general approach with uncertainty quantification

Inverse problems defined naturally on the sphere are becoming increasing...

0 Matthew A. Price, et al. ∙

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