Institut d'Astrophysique de Paris - Journal-clubs
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Journal-club Machine learning


These journal-clubs are informal meetings that take place every other Wednesday at 2:30 pm, in order to discuss recent subjects of machine learning. One topic is briefly presented at each session, followed by a discussion on recent publications. Anyone is welcome to attend, and to give a presentation.

 Contact: Tom Charnock


    Wednesday 06 December 2017
    Tom Charnock
    Institut d'Astrophysique de Paris, Paris, France
    "(Festive) open discussion "
    Invited by : CHARNOCK Tom
    Wednesday 22 November 2017
    Tom Charnock
    Institut d'Astrophysique de Paris, Paris, France
    "Taking the square (Information maximising non-linear data compression)"
    Invited by : CHARNOCK Tom
    Wednesday 08 November 2017
    Marc Huertas-Company
    Laboratoire d'Etudes du Rayonnement et de la Matière en Astrophysique et Atmosphères, Observatoire de Paris, Paris, France
    "Deep-learning for galaxy evolution"
    Invited by : CHARNOCK Tom
    Thursday 26 October 2017
    Jean-Marc Delouis
    Institut d'Astrophysique de Paris, Paris, France
    "Unsupervised classification based on scattering transform and t-SNE"
    Invited by : CHARNOCK Tom
    Wednesday 11 October 2017
    Farhang Habibi
    Inst. National de Physique Nucléaire et de Physique des Particules (IN2P3), Paris, France
    "Object classification and analysis for SDSS DR12"
    Invited by : CHARNOCK Tom
    Friday 15 September 2017
    Nino Vieillard
    CentraleSupélec, Gif-sur-Yvette, France
    "Measurement of nearby galaxies' morphology by deep learning "
    Invited by : DE LAPPARENT Valérie and DELOUIS Jean-Marc
    Thursday 06 July 2017
    Tom Charnock
    Institut d'Astrophysique de Paris, Paris, France
    "Tips, tricks and some classification using neural networks"
    Invited by : CHARNOCK Tom
    Thursday 08 June 2017
    Tom Charnock
    Institut d'Astrophysique de Paris, Paris, France
    "Beginner's guide to neural networks"
    Invited by : CHARNOCK Tom

 


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