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DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications (AICosmo'19 workshop)

Defferrard, Michaël

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{
  "description": "<p>Talk on DeepSphere, a graph-based spherical CNN for cosmological applications, presented at the AI methods in Cosmology workshop (https://sites.google.com/site/aicosmo2019) in Ascona, Switzerland.</p>", 
  "license": "http://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "EPFL", 
      "@id": "https://orcid.org/0000-0002-6028-9024", 
      "@type": "Person", 
      "name": "Defferrard, Micha\u00ebl"
    }
  ], 
  "url": "https://zenodo.org/record/3243381", 
  "datePublished": "2019-06-11", 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3243381", 
  "@id": "https://doi.org/10.5281/zenodo.3243381", 
  "@type": "PresentationDigitalDocument", 
  "name": "DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications (AICosmo'19 workshop)"
}
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Publication date:
June 11, 2019
DOI:
10.5281/zenodo.3243381

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10.5281/zenodo.3243381

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arXiv:1810.12186, https://github.com/SwissDataScienceCenter/DeepSphere
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Creative Commons Attribution 4.0 International

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Version 1 10.5281/zenodo.3243381 Jun 11, 2019
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