Search Results for author: Francesco Tonin

Found 2 papers, 1 papers with code

Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine

1 code implementation16 Feb 2021 Francesco Tonin, Arun Pandey, Panagiotis Patrinos, Johan A. K. Suykens

Detecting out-of-distribution (OOD) samples is an essential requirement for the deployment of machine learning systems in the real world.

Out-of-Distribution Detection

Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints

no code implementations25 Nov 2020 Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens

We introduce Constr-DRKM, a deep kernel method for the unsupervised learning of disentangled data representations.

Cannot find the paper you are looking for? You can Submit a new open access paper.