Vincent Létourneau

According to our database, Vincent Létourneau authored at least 8 papers between 2021 and 2026.

Collaborative distances:

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

2026

Manifold-Matching Autoencoders.

Laurent Cheret, Vincent Létourneau, Isar Nejadgholi, Chris Drummond, Hussein Al Osman, Maia Fraser

CoRR, March, 2026

2025

On the geometry and topology of representations: the manifolds of modular addition.

Gabriela Moisescu-Pareja, Gavin McCracken, Harley Wiltzer, Vincent Létourneau, Colin Daniels, Doina Precup, Jonathan Love

CoRR, December, 2025

Uncovering a Universal Abstract Algorithm for Modular Addition in Neural Networks.

Gavin McCracken, Gabriela Moisescu-Pareja, Vincent Létourneau, Doina Precup, Jonathan Love

CoRR, May, 2025

2024

Graph Positional and Structural Encoder.

Semih Cantürk, Renming Liu, Olivier Lapointe-Gagné, Vincent Létourneau, Guy Wolf, Dominique Beaini, Ladislav Rampásek

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

2023

Time and temporal abstraction in continual learning: tradeoffs, analogies and regret in an active measuring setting.

Vincent Létourneau, Colin Bellinger, Isaac Tamblyn, Maia Fraser

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Inexperienced RL Agents Can't Get It Right: Lower Bounds on Regret at Finite Sample Complexity.

Maia Fraser, Vincent Létourneau

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Rethinking Graph Transformers with Spectral Attention.

Devin Kreuzer, Dominique Beaini, William L. Hamilton, Vincent Létourneau, Prudencio Tossou

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Directional Graph Networks.

Dominique Beaini, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso, Pietro Lió

Proceedings of the 38th International Conference on Machine Learning, 2021