11 citations · 11 across the 3 of their papers we have counts for
3 papers
Proximal nested sampling with data-driven priors for physical scientists
Jason D. McEwen, Tobías I. Liaudat, Matthew A. Price +2
Proximal nested sampling was introduced recently to open up Bayesian model selection for high-dimensional problems such as computational imaging. The framework is suitable for mode…
ShapePipe: A modular weak-lensing processing and analysis pipeline
S. Farrens, A. Guinot, M. Kilbinger +8
We present the first public release of ShapePipe, an open-source and modular weak-lensing measurement, analysis, and validation pipeline written in Python. We describe the design o…
Rethinking the modeling of the instrumental response of telescopes with a differentiable optical model
Tobias Liaudat, Jean-Luc Starck, Martin Kilbinger +1
We propose a paradigm shift in the data-driven modeling of the instrumental response field of telescopes. By adding a differentiable optical forward model into the modeling framewo…