- 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
- A covariant formulation for cosmological radiative transfer of the 21-cm line
- Learned harmonic mean estimation of the Bayesian evidence with normalizing flows
- Learned radio interferometric imaging for varying visibility coverage
- 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
- 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
- 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
- Paying Attention to Astronomical Transients: Introducing the Time-series Transformer for Photometric Classification
- 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
- 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
- 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

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