J. D. McEwen

Latest

• LoFi: Neural local fields for scalable image reconstruction
• Generative modelling for mass-mapping with fast uncertainty quantification
• Field-level cosmological model selection: simulation-based inference for Stage IV cosmic shear can distinguish dynamical dark energy
• Accelerated Bayesian parameter estimation and model selection for gravitational waves with normalizing flows
• Simulation-based inference with scattering representations: scattering is all you need
• Generative models of astrophysical fields with scattering transforms on the sphere
• Scattering transforms on the sphere: application to large scale structure modelling
• Using conditional GANs for convergence map reconstruction with uncertainties
• 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
• Learned radio interferometric imaging for varying visibility coverage
• A covariant formulation for cosmological radiative transfer of the 21-cm line
• Differentiable and accelerated spherical harmonic and Wigner transforms
• Differentiable and accelerated wavelet transforms on the sphere and ball
• Paying Attention to Astronomical Transients: Introducing the Time-series Transformer for Photometric Classification
• 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
• Proximal nested sampling with data-driven priors for physical scientists
• Scalable and equivariant spherical CNNs by discrete-continuous (DISCO) convolutions
• Impact of Rubin Observatory cadence choices on supernovae photometric classification
• The tiny time-series Transformer: low-latency high-throughput classification of astronomical transients using deep model compression
• Learned Interferometric Imaging for the SPIDER Instrument
• Position-dependent correlation function of weak lensing convergence
• Results of the Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC)
• Sparse Bayesian mass-mapping using trans-dimensional MCMC
• How can spherical CNNs benefit ML-based diffusion MRI parameter estimation?
• Machine learning assisted Bayesian model comparison: learnt harmonic mean estimator
• Posterior sampling for inverse imaging problems on the sphere in seismology and cosmology
• Weak lensing trispectrum and kurt-spectra
• Proximal nested sampling for high-dimensional Bayesian model selection
• On weak lensing response functions
• A new estimator for phase statistics
• Considerations for optimizing photometric classification of supernovae from the Rubin Observatory
• Mapping dark matter on the celestial sphere with weak gravitational lensing
• Scattering networks on the sphere for scalable and rotationally equivariant spherical CNNs
• Slepian scale-discretised wavelets on the sphere
• Reducing cybersickness in 360-degree virtual reality
• Bayesian variational regularization on the ball
• Sparse image reconstruction on the sphere: a general approach with uncertainty quantification
• Efficient generalized spherical CNNs
• Classification of multiwavelength transients with machine learning
• 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
• $w$-stacking $w$-projection hybrid algorithm for wide-field interferometric imaging: implementation details and improvements
• Estimating the integrated bispectrum from weak lensing maps
• The weak lensing bispectrum induced by gravity
• Wavelet-based segmentation on the sphere
• 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
• The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Selection of a performance metric for classification probabilities balancing diverse science goals
• 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
• 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