R&D phases of a mobile robot prototype applied to underground distribution lines. - Jean-François Allan; Stephane Reiher; Ghislain Lambert; Samuel Lavoie (IROS, 2010)

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 (IROS, 2011)

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 (ICRA, 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)

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 (ICLR, 2019)

Serverless architecture efficiency: an exploratory study. - Samuel Lavoie; Anthony Garant; Fábio Petrillo (CoRR, 2019)

Integrating Categorical Semantics into Unsupervised Domain Translation. - Samuel Lavoie-Marchildon; Faruk Ahmed; Aaron C. Courville (ICLR, 2021)

Simplicial Embeddings in Self-Supervised Learning and Downstream Classification. - Samuel Lavoie; Christos Tsirigotis; Max Schwarzer; Kenji Kawaguchi; Ankit Vani; Aaron C. Courville (CoRR, 2022)

Simplicial Embeddings in Self-Supervised Learning and Downstream Classification. - Samuel Lavoie; Christos Tsirigotis; Max Schwarzer; Ankit Vani; Michael Noukhovitch; Kenji Kawaguchi; Aaron C. Courville (ICLR, 2023)

Language Model Alignment with Elastic Reset. - Michael Noukhovitch; Samuel Lavoie; Florian Strub; Aaron C. Courville (NeurIPS, 2023)

Improving Compositional Generalization using Iterated Learning and Simplicial Embeddings. - Yi Ren; Samuel Lavoie; Michael Galkin; Danica J. Sutherland; Aaron C. Courville (NeurIPS, 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)

SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision. - Ankit Vani; Bac Nguyen; Samuel Lavoie; Ranjay Krishna; Aaron C. Courville (ECCV (66), 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 (I2MTC, 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 (ICML, 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 (ICRA, 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 002; Bargav Jayaraman; Mark Ibrahim; Melissa Hall; et al. (CoRR, 2024)

Compositional Discrete Latent Code for High Fidelity, Productive Diffusion Models. - Samuel Lavoie; Michael Noukhovitch; Aaron C. Courville (CoRR, 2025)