Relations as Images. - Mathieu Alain; Jules Desharnais (RAMiCS, 2017)

Implicit Variational Inference: the Parameter and the Predictor Space. - Yann Pequignot; Mathieu Alain; Patrick Dallaire; Alireza Yeganehparast; Pascal Germain; Josée Desharnais; François Laviolette (CoRR, 2020)

The Second Learning on Graphs Conference: Preface. - Soledad Villar; Benjamin Paul Chamberlain; Yuanqi Du; Hannes Stärk; Chaitanya K. Joshi; Andreea Deac; Iulia Duta; Joshua Robinson 001; Yanqiao Zhu 001; Kexin Huang; Michelle M. Li; Sofia Bourhim; et al. (LoG, 2023)

Graph Neural Networks Go Forward-Forward. - Daniele Paliotta; Mathieu Alain; Bálint Máté; François Fleuret (CoRR, 2023)

Gaussian Processes on Cellular Complexes. - Mathieu Alain; So Takao; Brooks Paige; Marc Peter Deisenroth (ICML, 2024)

Graph Classification Gaussian Processes via Hodgelet Spectral Features. - Mathieu Alain; So Takao; Xiaowen Dong 001; Bastian Rieck; Emmanuel Noutahi (CoRR, 2024)

MANTRA: The Manifold Triangulations Assemblage. - Rubén Ballester; Ernst Röell; Daniel Bin Schmid; Mathieu Alain; Sergio Escalera; Carles Casacuberta; Bastian Rieck (ICLR, 2025)

Graph and Simplicial Complex Prediction Gaussian Process via the Hodgelet Representations. - Mathieu Alain; So Takao; Xiaowen Dong 001; Bastian Rieck; Emmanuel Noutahi (CoRR, 2025)