Vincent Létourneau

11 papers A* 3Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Manifold-Matching Autoencoders.
CoRR
Laurent Cheret, Vincent Létourneau, Isar Nejadgholi, Chris Drummond, Hussein Al Osman, Maia Fraser
2025 J jnl
On the geometry and topology of representations: the manifolds of modular addition.
CoRR
Gabriela Moisescu-Pareja, Gavin McCracken, Harley Wiltzer, Vincent Létourneau, Colin Daniels, Doina Precup, Jonathan Love
2025 J jnl
Uncovering a Universal Abstract Algorithm for Modular Addition in Neural Networks.
CoRR
Gavin McCracken, Gabriela Moisescu-Pareja, Vincent Létourneau, Doina Precup, Jonathan Love
2024 A* conf
Graph Positional and Structural Encoder.
ICML
Semih Cantürk, Renming Liu, Olivier Lapointe-Gagné, Vincent Létourneau, Guy Wolf, Dominique Beaini, Ladislav Rampásek
2023 J jnl
Graph Positional and Structural Encoder.
CoRR
Renming Liu, Semih Cantürk, Olivier Lapointe-Gagné, Vincent Létourneau, Guy Wolf, Dominique Beaini, Ladislav Rampásek
2023 — conf
Time and temporal abstraction in continual learning: tradeoffs, analogies and regret in an active measuring setting.
CoLLAs
Vincent Létourneau, Colin Bellinger, Isaac Tamblyn, Maia Fraser
2022 — conf
Inexperienced RL Agents Can't Get It Right: Lower Bounds on Regret at Finite Sample Complexity.
CoLLAs
Maia Fraser, Vincent Létourneau
2021 A* conf
Directional Graph Networks.
ICML
Dominique Beaini, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso, Pietro Lió
2021 A* conf
Rethinking Graph Transformers with Spectral Attention.
NeurIPS
Devin Kreuzer, Dominique Beaini, William L. Hamilton, Vincent Létourneau, Prudencio Tossou
2021 J jnl
Rethinking Graph Transformers with Spectral Attention.
CoRR
Devin Kreuzer, Dominique Beaini, William L. Hamilton, Vincent Létourneau, Prudencio Tossou
2020 J jnl
Directional Graph Networks.
CoRR
Dominique Beaini, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso, Pietro Liò