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Cited article:

TEGLIE: Transformer encoders as strong gravitational lens finders in KiDS - From simulations to surveys

M. Grespan, H. Thuruthipilly, A. Pollo, M. Lochner, M. Biesiada, V. Etsebeth

A&A, 688 (2024) A34

Published online: 2024-08-02

DOI: https://doi.org/10.1051/0004-6361/202449929

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Hybrid-z: Enhancing the Kilo-Degree Survey bright galaxy sample photometric redshifts with deep learning

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Searching for Strong Lenses from DESI Legacy Surveys with a Hybrid CNN-Transformer Architecture with Self-supervised Learning

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