210 citations · 374 across the 9 of their papers we have counts for
3 papers · 1 filter
Spatial images from temporal data
Alex Turpin, Gabriella Musarra, Valentin Kapitany +8
Traditional paradigms for imaging rely on the use of a spatial structure, either in the detector (pixels arrays) or in the illumination (patterned light). Removal of the spatial st…
Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy
Hunter Gabbard, Chris Messenger, Ik Siong Heng +2
Gravitational wave (GW) detection is now commonplace and as the sensitivity of the global network of GW detectors improves, we will observe s of transient GW even…
Variational Inference for Computational Imaging Inverse Problems
Francesco Tonolini, Jack Radford, Alex Turpin +2
Machine learning methods for computational imaging require uncertainty estimation to be reliable in real settings. While Bayesian models offer a computationally tractable way of re…