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cs.LG2022
TrustGAN: Training safe and trustworthy deep learning models through generative adversarial networks
Hélion du Mas des Bourboux
Deep learning models have been developed for a variety of tasks and are deployed every day to work in real conditions. Some of these tasks are critical and models need to be truste…
astro-ph.CO2022★ 19 cited
The Alcock-Paczyński effect from Lyman- forest correlations: Analysis validation with synthetic data
Andrei Cuceu, Andreu Font-Ribera, Paul Martini +6
The three-dimensional distribution of the Ly forest has been extensively used to constrain cosmology through measurements of the baryon acoustic oscillations (BAO) scale. Howeve…