Rethinking the modeling of the instrumental response of telescopes with a differentiable optical model. - Tobías I. Liaudat; Jean-Luc Starck; Martin Kilbinger; Pierre-Antoine Frugier (CoRR, 2021)

Rethinking data-driven point spread function modeling with a differentiable optical model. - Tobías I. Liaudat; Jean-Luc Starck; Martin Kilbinger; Pierre-Antoine Frugier (CoRR, 2022)

Sidestepping the inversion of the weak-lensing covariance matrix with Approximate Bayesian Computation. - Martin Kilbinger; Emille E. O. Ishida; Jessi Cisewski-Kehe (Astron. Comput., 2023)

Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies. - Tobías I. Liaudat; Jean-Luc Starck; Martin Kilbinger; Pierre-Antoine Frugier (CoRR, 2023)

Data-driven templates with dictionary learning and sparse representations for photometric redshift estimation. - Joana Frontera-Pons; Florent Sureau; Jérôme Bobin; Martin Kilbinger (Astron. Comput., 2023)