Samuel Lavoie-Marchildon

According to our database, Samuel Lavoie-Marchildon authored at least 12 papers between 2010 and 2023.

Collaborative distances:

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

2023

A surprisingly simple technique to control the pretraining bias for better transfer: Expand or Narrow your representation.

Florian Bordes, Samuel Lavoie, Randall Balestriero, Nicolas Ballas, Pascal Vincent

CoRR, 2023

Improving Compositional Generalization using Iterated Learning and Simplicial Embeddings.

Yi Ren, Samuel Lavoie, Michael Galkin, Danica J. Sutherland, Aaron C. Courville

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Language Model Alignment with Elastic Reset.

Michael Noukhovitch, Samuel Lavoie, Florian Strub, Aaron C. Courville

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Simplicial Embeddings in Self-Supervised Learning and Downstream Classification.

Samuel Lavoie, Christos Tsirigotis, Max Schwarzer, Ankit Vani, Michael Noukhovitch, Kenji Kawaguchi, Aaron C. Courville

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Simplicial Embeddings in Self-Supervised Learning and Downstream Classification.

Samuel Lavoie, Christos Tsirigotis, Max Schwarzer, Kenji Kawaguchi, Ankit Vani, Aaron C. Courville

CoRR, 2022

2021

Integrating Categorical Semantics into Unsupervised Domain Translation.

Samuel Lavoie-Marchildon, Faruk Ahmed, Aaron C. Courville

Proceedings of the 9th International Conference on Learning Representations, 2021

2019

Serverless architecture efficiency: an exploratory study.

Samuel Lavoie, Anthony Garant, Fábio Petrillo

CoRR, 2019

Learning deep representations by mutual information estimation and maximization.

R. Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Philip Bachman, Adam Trischler, Yoshua Bengio

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Learning deep representations by mutual information estimation and maximization.

R. Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Adam Trischler, Yoshua Bengio

CoRR, 2018

LineDrone Technology: Landing an Unmanned Aerial Vehicle on a Power Line.

François Mirallès, Philippe Hamelin, Ghislain Lambert, Samuel Lavoie, Nicolas Pouliot, Matthieu Montfrond, Serge Montambault

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2011

Kinematic and dynamic analysis of a novel 6-DOF serial manipulator for underground distribution power lines.

Jean-François Allan, Samuel Lavoie, Stephane Reiher, Ghislain Lambert

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

2010

R&D phases of a mobile robot prototype applied to underground distribution lines.

Jean-François Allan, Stephane Reiher, Ghislain Lambert, Samuel Lavoie

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010