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Mehdi Cherti

Forschungszentrum Jülich, Jülich Supercomputing Centre (JSC)

10 papers hereh-index 97.5k citations17 works total

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

author position
  • first author3
  • middle author6

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG3
  • cs.AI1
  • cs.DC1
  • q-bio.QM1
affiliations
  • Forschungszentrum Jülich, Jülich Supercomputing Centre (JSC)
Homepage

identity via Semantic Scholar / OpenAlex

activity
20162023
most citedLAION-5B: An open large-scale dataset for training next generation image-text models

1k citations · 1.7k across the 10 of their papers we have counts for

collaborators
Showing 2021Show all

2 papers · 1 filter

cs.DC2021

JUWELS Booster -- A Supercomputer for Large-Scale AI Research

Stefan Kesselheim, Andreas Herten, Kai Krajsek +15

In this article, we present JUWELS Booster, a recently commissioned high-performance computing system at the Jülich Supercomputing Center. With its system architecture, most import…

cs.LG2021★ 21 cited

Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest Images

Mehdi Cherti, Jenia Jitsev

Increasing model, data and compute budget scale in the pre-training has been shown to strongly improve model generalization and transfer learning in vast line of work done in langu…

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