Jean-Luc Starck

Affiliations: 
1994- CEA - Saclay 
Area:
cosmology, statistics, signal processing
Website:
http://jstarck.cosmostat.org
Google:
"Jean-Luc Starck"
Cross-listing: Physics Tree - Computer Science Tree

Children

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Pierrick Abrial grad student 2008 Univ. de Cergy-Pontoise (Physics Tree)
Jerome Bobin grad student 2008 Université Paris-Sud 11 (Physics Tree)
Sandrine Pires grad student 2008 Université Paris-Sud 11 (Physics Tree)
Arnaud Woiselle grad student 2010 Univ. de Paris VII (Physics Tree)
Jeremy Schmitt grad student 2011 Université Paris-Sud 11 (Physics Tree)
Antoine Labatie grad student 2012 Université Paris-Sud 11 (Physics Tree)
Francois Lanusse grad student 2015 Université Paris-Saclay (Physics Tree)
Daniel Machado grad student 2015 Université Paris-Sud 11 (Physics Tree)
Fred Ngolè grad student 2016 Université Paris-Saclay (Physics Tree)
Ming Jiang grad student 2017 Université Paris-Saclay (Physics Tree)
Remy Elie Joseph grad student 2018 Swiss Federal Institute of Technology (EPFL) (Physics Tree)
Morgan A. Schmitz grad student 2019 University Paris Saclay (Physics Tree)
Khanh-Hung Tran grad student 2021 University Paris Saclay (Physics Tree)
Olivier Fourt post-doc 2008-2010 CEA - Saclay (Physics Tree)
Erwan Deriaz post-doc 2009-2010 CEA - Saclay (Physics Tree)
Francois-Xavier Dupé post-doc 2010-2011 CEA - Saclay (Physics Tree)
Georgios Tzagkarakis post-doc 2010-2012 CEA - Saclay (Physics Tree)
Adrienne Leonard post-doc 2010-2014 CEA - Saclay (Physics Tree)
Paniez Paykari post-doc 2010-2014 CEA - Saclay (Physics Tree)
Julien Girard post-doc 2013-2015 CEA - Saclay (Physics Tree)
Samuel Farrens post-doc 2015-2017 CEA - Saclay (Physics Tree)
Austin Peel post-doc 2015-2019 CEA - Saclay (Physics Tree)
Kostas Themelis post-doc 2017-2020 CEA - Saclay (Physics Tree)
Santiago Casas post-doc 2018-2021 CEA - Saclay (Physics Tree)
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Publications

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Stivaktakis R, Tsagkatakis G, Moraes B, et al. (2020) Convolutional Neural Networks for Spectroscopic Redshift Estimation on Euclid Data Ieee Transactions On Big Data. 6: 460-476
Jeffrey N, Lanusse F, Lahav O, et al. (2020) Deep learning dark matter map reconstructions from DES SV weak lensing data Monthly Notices of the Royal Astronomical Society. 492: 5023-5029
Peel A, Lalande F, Starck J, et al. (2019) Distinguishing standard and modified gravity cosmologies with machine learning Physical Review D. 100
Merten J, Giocoli C, Baldi M, et al. (2019) On the dissection of degenerate cosmologies with machine learning Monthly Notices of the Royal Astronomical Society. 487: 104-122
Sellentin E, Starck J. (2019) Debiasing inference with approximate covariance matrices and other unidentified biases Journal of Cosmology and Astroparticle Physics. 2019: 021-021
Peel A, Pettorino V, Giocoli C, et al. (2018) Breaking degeneracies in modified gravity with higher (than 2nd) order weak-lensing statistics Astronomy & Astrophysics. 619: A38
Peel A, Lanusse F, Starck J. (2017) Sparse Reconstruction of the Merging A520 Cluster System The Astrophysical Journal. 847: 23
Jiang M, Bobin J, Starck J. (2017) Joint Multichannel Deconvolution and Blind Source Separation Siam Journal On Imaging Sciences. 10: 1997-2021
Peel A, Lin C, Lanusse F, et al. (2017) Cosmological constraints with weak-lensing peak counts and second-order statistics in a large-field survey Astronomy & Astrophysics. 599: A79
Lanusse F, Starck J, Leonard A, et al. (2016) High resolution weak lensing mass mapping combining shear and flexion Astronomy & Astrophysics. 591: A2
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