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06/30/2023
Proximal nested sampling with data-driven priors for physical scientists
Proximal nested sampling was introduced recently to open up Bayesian mod...
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research
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06/30/2023
Learned harmonic mean estimation of the marginal likelihood with normalizing flows
Computing the marginal likelihood (also called the Bayesian model eviden...
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09/27/2022
Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions
No existing spherical convolutional neural network (CNN) framework is bo...
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11/24/2021
Machine learning assisted Bayesian model comparison: learnt harmonic mean estimator
We resurrect the infamous harmonic mean estimator for computing the marg...
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05/12/2021
Bayesian variational regularization on the ball
We develop variational regularization methods which leverage sparsity-pr...
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05/11/2021