Jason McEwen
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M. A. Price
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The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparison
Learned harmonic mean estimation of the Bayesian evidence with normalizing flows
Differentiable and accelerated spherical harmonic and Wigner transforms
Differentiable and accelerated wavelet transforms on the sphere and ball
Scalable Bayesian uncertainty quantification with data-driven priors for radio interferometric imaging
Bayesian model comparison for simulation-based inference
Fast emulation of anisotropies induced in the cosmic microwave background by cosmic strings
Learned harmonic mean estimation of the marginal likelihood with normalizing flows
Learned harmonic mean estimation of the marginal likelihood with normalizing flows
Proximal nested sampling with data-driven priors for physical scientists
Scalable and equivariant spherical CNNs by discrete-continuous (DISCO) convolutions
Machine learning assisted Bayesian model comparison: learnt harmonic mean estimator
Mapping dark matter on the celestial sphere with weak gravitational lensing
Bayesian variational regularization on the ball
Sparse image reconstruction on the sphere: a general approach with uncertainty quantification
Efficient generalized spherical CNNs
Sparse Bayesian mass-mapping with uncertainties: full-sky observations on the celestial sphere
Sparse Bayesian mass-mapping with uncertainties: hypothesis testing of structure
Scale-discretised ridgelet transform on the sphere
Sparse Bayesian mass-mapping with uncertainties
Sparse Bayesian mass-mapping with uncertainties: local credible intervals
Sparse Bayesian mass-mapping with uncertainties: peak statistics and feature locations
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