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Mehdi Cherti Mehdi Cherti Postdoc at Jülich Supercomputing Centre (JSC) / LAION team, Germany I received my PhD in Machine Learning from Université Paris Saclay in 2018. Currently, I am a postdoctoral researcher at Jülich Supercomputing Center (JSC) and part of the LAION team . I am interested in large scale training, generative models, models that can learn efficiently (transfer learning, few-shot learning, meta-learning) and generalize out of their training distribution (OOD generalization), enabling broader and more robust applicability. Selected Publications Reproducible scaling laws for contrastive language-image learning Mehdi Cherti, Romain Beaumon, Ross Wightman, Mitchell Wortsman, Gabriel Ilharco, Cade Gordon, Christoph Schuhmann, Ludwig Schmidt, Jenia Jitsev CVPR 2023 Code / Poster / Slides / Video LAION-5B: An open large-scale dataset for training next generation image-text models Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade ...
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