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researcher

Mehdi Cherti

Forschungszentrum Jülich, Jülich Supercomputing Centre (JSC)

6 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 author1
  • middle author5

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.DC1
  • cs.LG1
  • q-bio.QM1
affiliations
  • Forschungszentrum Jülich, Jülich Supercomputing Centre (JSC)
Homepage

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedLAION-5B: An open large-scale dataset for training next generation image-text models

1k citations · 1k across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2023

A Comparative Study on Generative Models for High Resolution Solar Observation Imaging

Mehdi Cherti, Alexander Czernik, Stefan Kesselheim +2

Solar activity is one of the main drivers of variability in our solar system and the key source of space weather phenomena that affect Earth and near Earth space. The extensive rec…

cs.CV2023

DataComp: In search of the next generation of multimodal datasets

Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang +31

Multimodal datasets are a critical component in recent breakthroughs such as Stable Diffusion and GPT-4, yet their design does not receive the same research attention as model arch…

cs.CV2022★ 1k cited

LAION-5B: An open large-scale dataset for training next generation image-text models

Christoph Schuhmann, Romain Beaumont, Richard Vencu +13

Groundbreaking language-vision architectures like CLIP and DALL-E proved the utility of training on large amounts of noisy image-text data, without relying on expensive accurate la…

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