Mathieu Alain

According to our database, Mathieu Alain authored at least 7 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Graph Classification Gaussian Processes via Hodgelet Spectral Features.

Mathieu Alain, So Takao, Xiaowen Dong, 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

CoRR, 2024

Gaussian Processes on Cellular Complexes.

Mathieu Alain, So Takao, Brooks Paige, Marc Peter Deisenroth

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Graph Neural Networks Go Forward-Forward.

Daniele Paliotta, Mathieu Alain, Bálint Máté, François Fleuret

CoRR, 2023

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, Yanqiao Zhu, Kexin Huang, Michelle M. Li, Sofia Bourhim, Ilia Igashov, Alexandre Duval, Mathieu Alain, Dominique Beaini, Xinyu Yuan

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

2020

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

2017

Relations as Images.

Mathieu Alain, Jules Desharnais

Proceedings of the Relational and Algebraic Methods in Computer Science, 2017