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[Partial] RADLER: (adversarially) Robust Adversarial Distributional LEaRner

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RADLER

(adversarially)
Robust
Adversarial
Distributional
LEaRner


This repository currently hosts what will become the codebase and the reproducibility machinery of my BSc thesis in Physics (actually covering topics in machine learning and artificial intelligence with guarantees), supervised by Prof. Luca Bortolussi and made possible by the generous computational support of the Dept. of Mathematics and Geo-Sciences at the University of Trieste.

The entire content of the repository is at a work-in-progress stage and may still be (partly) non-existent, incomplete, buggy or barely working, and will surely go through breaking changes and refactorings. This message will be removed once the codebase reaches an more-than-acceptable stability.