Abstract: Recently, Optimal Transport has been proposed as a probabilistic framework in Machine Learning for comparing and manipulating probability distributions. This is rooted in its rich history ...
There is a very tall and strangely accented man building a very small 1960s supercar from scratch in a very old barn in rural France. His name is Oliver Pickard, and the car he calls his Pickard ...
Abstract: Machine learning (ML) deployment projects are used by practitioners to automatically deploy ML models. While ML deployment projects aid practitioners, security vulnerabilities in these ...
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