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

96 citations

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Showing 2022 · cs.LGShow all

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cs.LG2022★ 1 cited

Riemannian data-dependent randomized smoothing for neural networks certification

Pol Labarbarie, Hatem Hajri, Marc Arnaudon

Certification of neural networks is an important and challenging problem that has been attracting the attention of the machine learning community since few years. In this paper, we…

cs.LG2022

CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies

Simo Alami. C, Fernando Llorente, Rim Kaddah +2

Reinforcement Learning has drawn huge interest as a tool for solving optimal control problems. Solving a given problem (task or environment) involves converging towards an optimal…