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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…
cs.LG2020★ 6 cited
A light neural network for modulation detection under impairments
Thomas Courtat, Hélion du Mas des Bourboux
We present a neural network architecture able to efficiently detect modulation scheme in a portion of I/Q signals. This network is lighter by up to two orders of magnitude than oth…