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Found 3 papers, 1 papers with code
On Evaluating Explainability Algorithms
A plethora of methods attempting to explain predictions of black-box models have been proposed by the Explainable Artificial Intelligence (XAI) community.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
Defending Against Adversarial Attacks by Leveraging an Entire GAN
Based on this, we propose a cleaning method which uses both the discriminator and generator of the GAN to project the samples back onto the data manifold.
Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit
Observations of astrophysical objects such as galaxies are limited by various sources of random and systematic noise from the sky background, the optical system of the telescope and the detector used to record the data.
