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researcher

Nathanael Perraudin

35 papers hereh-index 252.8k citations67 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author8
  • middle author19
  • last author8

Across the 35 of 35 papers where every author was matched, so the position is known.

fields
  • cs.LG16
  • cs.SD6
  • cs.CV3
  • stat.ML3
  • astro-ph.CO1
  • cond-mat.mtrl-sci1

identity via Semantic Scholar / OpenAlex

activity
20142024
most citedDeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications

181 citations · 661 across the 28 of their papers we have counts for

collaborators
Showing 2017 · stat.MLShow all

1 paper · 2 filters

stat.ML2017★ 51 cited

Large Scale Graph Learning from Smooth Signals

Vassilis Kalofolias, Nathanaël Perraudin

Graphs are a prevalent tool in data science, as they model the inherent structure of the data. They have been used successfully in unsupervised and semi-supervised learning. Typica…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.