Jason McEwen
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J. D. McEwen
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Reducing cybersickness in 360-degree virtual reality
A new estimator for phase statistics
Considerations for optimizing photometric classification of supernovae from the Rubin Observatory
High-dimensional Bayesian model selection by proximal nested sampling
Posterior sampling for inverse imaging problems on the sphere
Bayesian variational regularization on the ball
Paying attention to astronomical transients: photometric classification with the time-series transformer
Slepian scale-discretised wavelets on the sphere
Sparse image reconstruction on the sphere: a general approach with uncertainty quantification
Position-dependent correlation function of weak lensing convergence
Efficient generalized spherical CNNs
Scattering networks on the sphere for scalable and rotationally equivariant spherical CNNs
Classification of multiwavelength transients with machine learning
Mapping dark matter on the celestial sphere with weak gravitational lensing
Morphology of weak lensing convergence maps
Multiscale optimal filtering on the sphere
Sifting convolution on the sphere
Sparse Bayesian mass-mapping with uncertainties: full-sky observations on the celestial sphere
Sparse Bayesian mass-mapping with uncertainties: hypothesis testing of structure
Sparse image reconstruction for the SPIDER optical interferometric telescope
Novel perspectives gained from new reconstruction algorithms
Offline and online reconstruction for radio interferometric imaging
Weak lensing skew-spectrum
Higher-order spectra of weak lensing convergence maps in parameterized theories of modified gravity
Estimating the integrated bispectrum from weak lensing maps
Results of the Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC)
The weak lensing bispectrum induced by gravity
Wavelet-based segmentation on the sphere
$w$-stacking $w$-projection hybrid algorithm for wide-field interferometric imaging: implementation details and improvements
Distributed and parallel sparse convex optimization for radio interferometry with PURIFY
Load balancing for distributed interferometric image reconstruction
A fast and exact $w$-stacking and $w$-projection hybrid algorithm for wide-field interferometric imaging
Cleaning radio interferometric images using a spherical wavelet decomposition
Cosmic shear: inference from forward models
Non-parametric cosmology with cosmic shear
Online radio interferometric imaging: assimilating and discarding visibilities on arrival
Optimising the LSST observing strategy for Supernova light curve classification with machine learning
Polarised radiative transfer on cosmological scales for investigating large-scale magnetic field structures
Quantifying uncertainty in high dimensional inverse problems by convex optimisation
Radio galaxy detection in the visibility domain
Radio interferometric imaging with uncertainties
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
Wide-field interferometric imaging via distributed sparse image reconstruction
An optimal-dimensionality sampling for spin-$s$ functions on the sphere
Evaluating machine learning techniques for predicting power spectra from reionization simulations
Localisation of directional scale-discretised wavelets on the sphere
Optimal-dimensionality sampling and robust 3D diffusion signal reconstruction
Optimizing the LSST Observing Strategy for Dark Energy Science: DESC Recommendations for the Deep Drilling Fields and other Special Programs
Optimizing the LSST Observing Strategy for Dark Energy Science: DESC Recommendations for the Wide-Fast-Deep Survey
Preparing for the cosmic shear data flood: optimal data extraction and simulation requirements for stage IV dark energy experiments
Robust sparse image reconstruction of radio interferometric observations with PURIFY
Testing the cosmic shear spatially-flat universe approximation with GLaSS
The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Data set
The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Selection of a performance metric for classification probabilities balancing diverse science goals
Uncertainty quantification for radio interferometric imaging: I. proximal MCMC methods
Uncertainty quantification for radio interferometric imaging: II. MAP estimation
A new perspective on turbulent Galactic magnetic fields through comparison of linear polarisation decomposition techniques
An optimal dimensionality multi-shell sampling scheme with accurate and efficient transforms for diffusion MRI
Iterative residual fitting for spherical harmonic transform of band-limited signals on the sphere: generalization and analysis
Multi-shell sampling scheme with accurate and efficient transforms for diffusion MRI
Optimal-dimensionality sampling on the sphere: improvements and variations
PURIFYing real radio interferometric observations
Second-generation curvelets on the sphere
Sparse image reconstruction on the sphere: analysis vs synthesis
The $w$-effect in interferometric imaging: from a fast sparse measurement operator to super-resolution
The limits of cosmic shear
Wavelet reconstruction of $E$ and $B$ modes for CMB polarisation and cosmic shear analyses
Wavelet-based segmentation method for spherical images
Wavelet-Bayesian inference of cosmic strings embedded in the cosmic microwave background
A framework for testing isotropy with the cosmic microwave background
A randomised primal-dual algorithm for distributed radio-interferometric imaging
Big data in the physical sciences: challenges and opportunities
Gauss-Legendre sampling on the rotation group
How isotropic is the universe?
Photometric Supernova classification with machine learning
Scalable splitting algorithms for big-data interferometric imaging in the SKA era
SILC: a new Planck Internal Linear Combination CMB temperature map using directional wavelets
Slepian spatial-spectral concentration on the ball
Spin-SILC: CMB polarisation component separation with spin wavelets
3D weak lensing with spin wavelets on the ball
A novel sampling theorem on the rotation group
Analysing the polarisation of the CMB with spin scale-discretised wavelets
Directional spin wavelets on the sphere
Euclid & SKA Synergies
Synergy between the Large Synoptic Survey Telescope and the Square Kilometre Array
Why CLEAN when you can PURIFY? A new approach for next-generation radio interferometric imaging
An optimal-dimensionality sampling scheme on the sphere with fast spherical harmonic transforms
On spin scale-discretised wavelets on the sphere for the analysis of CMB polarisation
Probabilistic image reconstruction for radio interferometers
PURIFY: a new algorithmic framework for next-generation radio-interferometric imaging
PURIFY: a new approach to radio-interferometric imaging
Sparse inpainting and isotropy
Bayesian analysis of anisotropic cosmologies: Bianchi VII$_h$ and WMAP
Classification and construction of closed-form kernels for signal representation on the 2-sphere
Fast directional spatially localized spherical harmonic transform
Flaglets for studying the large-scale structure of the Universe
Flaglets: Exact wavelets on the ball
Fourier-Laguerre transform, convolution and wavelets on the ball
Hierarchical Bayesian detection algorithm for early-Universe relics in the cosmic microwave background
On sparsity averaging
On the computation of directional scale-discretized wavelet transforms on the sphere
Revisiting the spread spectrum effect in radio interferometric imaging: a sparse variant of the $w$-projection algorithm
S2LET: A code to perform fast wavelet analysis on the sphere
Sparse image reconstruction on the sphere: implications of a new sampling theorem
Sparsity averaging for compressive imaging
Sparsity averaging for radio interferometric imaging
The varying-$w$ spread spectrum effect for radio interferometric imaging
Detecting candidate cosmic bubble collisions with optimal filters
Exact wavelets on the ball
Optimal filters for detecting cosmic bubble collisions
Sparsity Averaging Reweighted Analysis (SARA): a novel algorithm for radio-interferometric imaging
A novel sampling theorem on the sphere
Compressed sensing for radio interferometric imaging: review and future direction
Compressed sensing for wide-field radio interferometric imaging
Data compression on the sphere
Fast, exact (but unstable) spin spherical harmonic transforms
Harmonic analysis of spherical sampling in diffusion MRI
Implications for compressed sensing of a new sampling theorem on the sphere
Intrinsic advantages of the $w$ component and spherical imaging for wide-field radio interferometry
Sampling theorems and compressive sensing on the sphere
A high-significance detection of non-Gaussianity in the WMAP 5-year data using directional spherical wavelets
Bianchi VII$_h$ signatures and the cold spot texture
Exact reconstruction with directional wavelets on the sphere
Optimal filters on the sphere
Probing dark energy with steerable wavelets through correlation of WMAP and NVSS local morphological measures
Simulating full-sky interferometric observations
Complex data processing: fast wavelet analysis on the sphere
Cosmological applications of a wavelet analysis on the sphere
Detecting dark energy with wavelets on the sphere
Detection of the ISW effect and corresponding dark energy constraints made with directional spherical wavelets
Fast directional continuous spherical wavelet transform algorithms
Markov chain Monte Carlo analysis of Bianchi VII$_h$ models
A directional continuous wavelet transform on the sphere
A high-significance detection of non-Gaussianity in the WMAP 3-year data using directional spherical wavelets
Detection of the ISW effect and corresponding dark energy constraints
Non-Gaussianity detections in the Bianchi VII$_h$ corrected WMAP 1-year data made with directional spherical wavelets
A high-significance detection of non-Gaussianity in the WMAP 1-year data using directional spherical wavelets
A fast directional continuous spherical wavelet transform
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