Presentation Open Access

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

Defferrard, Michaël


Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Defferrard, Michaël</dc:creator>
  <dc:date>2019-06-11</dc:date>
  <dc:description>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.</dc:description>
  <dc:identifier>https://zenodo.org/record/3243381</dc:identifier>
  <dc:identifier>10.5281/zenodo.3243381</dc:identifier>
  <dc:identifier>oai:zenodo.org:3243381</dc:identifier>
  <dc:relation>arxiv:arXiv:1810.12186</dc:relation>
  <dc:relation>url:https://github.com/SwissDataScienceCenter/DeepSphere</dc:relation>
  <dc:relation>doi:10.5281/zenodo.3243380</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:title>DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications (AICosmo'19 workshop)</dc:title>
  <dc:type>info:eu-repo/semantics/lecture</dc:type>
  <dc:type>presentation</dc:type>
</oai_dc:dc>
175
91
views
downloads
All versions This version
Views 175175
Downloads 9191
Data volume 1.1 GB1.1 GB
Unique views 146146
Unique downloads 7979

Share

Cite as