Samuel Lavoie-Marchildon

According to our database, Samuel Lavoie-Marchildon authored at least 18 papers between 2010 and 2024.

Collaborative distances:

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

2024

An Introduction to Vision-Language Modeling.

Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra

CoRR, 2024

Modeling Caption Diversity in Contrastive Vision-Language Pretraining.

Samuel Lavoie, Polina Kirichenko, Mark Ibrahim, Mahmoud Assran, Andrew Gordon Wilson, Aaron C. Courville, Nicolas Ballas

CoRR, 2024

SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision.

Ankit Vani, Bac Nguyen, Samuel Lavoie, Ranjay Krishna, Aaron C. Courville

CoRR, 2024

Mechanism Design for New Sensors Field Deployment by LineRanger Powerline Robot.

Pierre-Luc Richard, Jonathan Bellemare, Philippe Hamelin, Camille Hébert, Ghislain Lambert, Samuel Lavoie, Sébastien Leprohon, Matthieu Montfrond, Marion Nourry, Alex Sartor, Nicolas Pouliot

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Modeling Caption Diversity in Contrastive Vision-Language Pretraining.

Samuel Lavoie, Polina Kirichenko, Mark Ibrahim, Mido Assran, Andrew Gordon Wilson, Aaron C. Courville, Nicolas Ballas

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

ICARE-Chronos Technology: Drone-Deployed Probes for Accurate and Simultaneous Temperature and Sag Measurement of Power Lines.

Philippe Hamelin, Jean-François Gravel, Pierre-André Bergeron, Samuel Lavoie, Ghislain Lambert, Frédéric Nadeau, Alex Sartor, Pierre-Luc Richard, Matthieu Montfrond, Nicolas Pouliot

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

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