output
20142025
most citedGeomstats: A Python Package for Riemannian Geometry in Machine Learning

96 citations

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cs.LG2024

ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design)

Mouadh Yagoubi, Milad Leyli-Abadi, David Danan +6

The use of machine learning (ML) techniques to solve complex physical problems has been considered recently as a promising approach. However, the evaluation of such learned physica…

cs.LG2024★ 3 cited

Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey

Lucas Schott, Josephine Delas, Hatem Hajri +5

Deep Reinforcement Learning (DRL) is a subfield of machine learning for training autonomous agents that take sequential actions across complex environments. Despite its significant…