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Tobias Liaudat
Tobias Liaudat
Other namesTobías Ignacio Liaudat
Research Scientist at CEA Saclay, France
Verified email at cea.fr - Homepage
Title
Cited by
Cited by
Year
COSMOS-Web: An Overview of the JWST Cosmic Origins Survey
CM Casey, JS Kartaltepe, NE Drakos, M Franco, S Harish, L Paquereau, ...
The Astrophysical Journal 954 (1), 31, 2023
702023
Multi-CCD modelling of the point spread function
T Liaudat, J Bonnin, JL Starck, MA Schmitz, A Guinot, M Kilbinger, ...
A&A 646, A27, 2021
132021
ShapePipe: a new shape measurement pipeline and weak-lensing application to UNIONS/CFIS data
A Guinot, M Kilbinger, S Farrens, A Peel, A Pujol, M Schmitz, JL Starck, ...
Astronomy & Astrophysics 666, A162, 2022
112022
Rethinking data-driven point spread function modeling with a differentiable optical model
T Liaudat, JL Starck, M Kilbinger, PA Frugier
Inverse Problems 39 (3), 035008, 2023
102023
Rethinking the modeling of the instrumental response of telescopes with a differentiable optical model
T Liaudat, JL Starck, M Kilbinger, PA Frugier
arXiv preprint arXiv:2111.12541, 2021
82021
Faster and better sparse blind source separation through mini-batch optimization
C Kervazo, T Liaudat, J Bobin
Digital Signal Processing 106, 102827, 2020
72020
ShapePipe: A modular weak-lensing processing and analysis pipeline
S Farrens, A Guinot, M Kilbinger, T Liaudat, L Baumont, X Jimenez, ...
Astronomy & Astrophysics 664, A141, 2022
42022
Semi-Parametric Wavefront Modelling for the Point Spread Function
T Liaudat, JL Starck, M Kilbinger
52ème Journées de Statistique de la Société Française de Statistique (SFdS), 2021
32021
Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies
TI Liaudat, JL Starck, M Kilbinger
Frontiers in Astronomy and Space Sciences 10 (2023), 35, 2023
22023
Proximal nested sampling with data-driven priors for physical scientists
JD McEwen, TI Liaudat, MA Price, X Cai, M Pereyra
Physical Sciences Forum 9 (1), 13, 2023
12023
Scalable Bayesian uncertainty quantification with data-driven priors for radio interferometric imaging
TI Liaudat, M Mars, MA Price, M Pereyra, MM Betcke, JD McEwen
arXiv preprint arXiv:2312.00125, 2023
12023
Data-driven modelling of ground-based and space-based telescope's point spread functions
TI Liaudat
université Paris-Saclay, 2022
12022
Distributed sparse BSS for large-scale datasets
T Liaudat, J Bobin, C Kervazo
SPARS 2019 conference, 2019
12019
Black-Hole-to-Halo Mass Relation From UNIONS Weak Lensing
Q Li, M Kilbinger, W Luo, K Wang, H Wang, A Wittje, H Hildebrandt, ...
arXiv preprint arXiv:2402.10740, 2024
2024
QuantifAI: Radio interferometric imaging reconstruction with scalable Bayesian uncertainty quantification
TI Liaudat, M Mars, MA Price, M Pereyra, MM Betcke, JD McEwen
Astrophysics Source Code Library, ascl: 2401.017, 2024
2024
MCCD: Multi-CCD Point Spread Function Modelling
T Liaudat
Astrophysics Source Code Library, ascl: 2210.022, 2022
2022
ShapePipe: Galaxy shape measurement pipeline
S Farrens, A Guinot, M Kilbinger, T Liaudat, L Baumont, X Jimenez, ...
Astrophysics Source Code Library, ascl: 2206.026, 2022
2022
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