Published:
Overview of my research published in ICML 2019.
[Link] to blog post in Towards Data Science.
Disclaimer: For ease of exposition, some notations have been simplified compared to the original notations from the paper.
Published:
[Link] to blog post in Towards Data Science.
Published:
[Link] to blog post in Towards Data Science.
Published:
C++ toolbox for the statistical analysis of galaxy surveys.
[Link]
Published:
[Link] to readme and source.
Published:
[Link] to readme and source.
Published:
[Link] to readme and source.
Published in Astronomical Data Analysis VI, 2010
[Paper]
Published in In Advances in Modern Cosmology, InTech, 2011
[Chapter]
Published in In Astronomical Data Analysis VII, 2012
Published in In 47th Rencontres de Moriond on Cosmology, 2012
[Paper]
Published in ApJ, 760(2):97, 2012
[Paper]
Published in ApJ, 746(2):172, 2012
[Paper]
Published in Statistical Methodology, 9(1-2):85–100, 2012
[Paper]
Published in A&A, 542:A34, 2012
[Paper]
Published in MNRAS, 425(1):415–437, 2012
[Paper]
Published in MNRAS, 427(4):3435–3467, 2012
[Paper]
Published in A&A, 554:A131, 2013
[Paper]
Published in 36th International Conference on Machine Learning (ICML 2019), 2019
[Paper]
Published in arXiv, 2021
[Paper]
Published in 35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2021
[Paper]
Published:
Introduction to statistical analysis of the galaxy distribution, with a particular look at fractal analysis.
[Slides in French]
Published:
Presentation of my results on the reliability of galaxy correlation function estimators at the conference Astronomical Data Analysis VI.
[Poster]
Published:
Presentation of my results on uncertainty in correlation function estimators and reliability of BAO detection from my first paper published in Statistical Methodology.
[Slides]
Published:
Presentation of the state of my research on BAO detection. This research was continued and later published in ApJ.
[Slides]
Published:
Presentation of the state of my research on BAO detection and BAO study with model-dependent covariance matrix. This research was continued and later published in 2 ApJ papers.
[Slides]
Published:
Presentation of my results on BAO detection at the conference 47th Rencontres de Moriond.
[Poster]
Published:
Presentation of my results on BAO study with model-dependent covariance matrix at the conference Astronomical Data Analysis VII.
[Slides]
Published:
Presentation given for my PhD Defense.
[Slides in French]
Published:
Presentation on machine learning and deep learning for internal training at PEAT.
[Slides]
Published:
Talk given at the 8th gathering of Berlin AI with numerous AI professionals.
[Slides]
Published:
Presentation of my research on the characterization of deep neural networks at ICML 2019.
[Slides] [Poster]
Disclaimer: For ease of exposition, some notations have been simplified compared to the original notations from the paper.
Published:
Presentation of my research during a seminar at Imagine Lab, ENPC.
[Slides]
Published:
Presentation of my research on the normalization of CNNs in a Graphcore webinar.
[Slides]
Published:
Presentation of my research on Proxy Norm at NeurIPS 2021.
[Slides] [Poster]