Gaussian Processes on Cellular Complexes

no code implementations • 2 Nov 2023 • Mathieu Alain, So Takao, Brooks Paige, Marc Peter Deisenroth

In this paper, we go beyond this dyadic setting and consider polyadic relations that include interactions between vertices, edges and one of their generalisations, known as cells.

Gaussian Processes

Graph Neural Networks Go Forward-Forward

no code implementations • 10 Feb 2023 • Daniele Paliotta, Mathieu Alain, Bálint Máté, François Fleuret

We present the Graph Forward-Forward (GFF) algorithm, an extension of the Forward-Forward procedure to graphs, able to handle features distributed over a graph's nodes.

Graph Property Prediction Property Prediction

Out-of-distribution detection for regression tasks: parameter versus predictor entropy

no code implementations • 24 Oct 2020 • Yann Pequignot, Mathieu Alain, Patrick Dallaire, Alireza Yeganehparast, Pascal Germain, Josée Desharnais, François Laviolette

Focusing on regression tasks, we choose a simple yet insightful model for this OOD distribution and conduct an empirical evaluation of the ability of various methods to discriminate OOD samples from the data.

Out-of-Distribution Detection Out of Distribution (OOD) Detection +2