Beta-mesh - A dynamic 3D mesh modelization. - Gaétan Marceau-Caron; Areski Hadjaz (ACC, 2011)

Increasing Air Traffic: What is the Problem? - Areski Hadjaz; Gaétan Marceau; Pierre Savéant; Marc Schoenauer (CoRR, 2012)

Online Learning for Ground Trajectory Prediction - Areski Hadjaz; Gaétan Marceau; Pierre Savéant; Marc Schoenauer (CoRR, 2012)

Multiobjective tactical planning under uncertainty for air traffic flow and capacity management. - Gaétan Marceau Caron; Pierre Savéant; Marc Schoenauer (IEEE Congress on Evolutionary Computation, 2013)

Multiobjective optimization for reducing delays and congestion in air traffic management. - Gaétan Marceau; Pierre Savéant; Marc Schoenauer (GECCO (Companion), 2013)

Strategic Planning in Air Traffic Control as a Multi-objective Stochastic Optimization Problem. - Gaétan Marceau; Pierre Savéant; Marc Schoenauer (CoRR, 2013)

Computational Methods for Probabilistic Inference of Sector Congestion in Air Traffic Management. - Gaétan Marceau; Pierre Savéant; Marc Schoenauer (CoRR, 2013)

Racing Multi-objective Selection Probabilities. - Gaétan Marceau-Caron; Marc Schoenauer (PPSN, 2014)

Optimization and Uncertainty Handling in Air Traffic Management. (Optimisation et gestion de l'incertitude du trafic aérien). - Gaétan Marceau-Caron (2014)

Practical Riemannian Neural Networks. - Gaétan Marceau-Caron; Yann Ollivier (CoRR, 2016)

Natural Langevin Dynamics for Neural Networks. - Gaétan Marceau-Caron; Yann Ollivier (GSI, 2017)

Signed particles and neural networks, towards efficient simulations of quantum systems. - Jean Michel D. Sellier; Gaétan Marceau Caron; Jacob Leygonie (J. Comput. Phys., 2019)

COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing. - Prateek Gupta; Tegan Maharaj; Martin Weiss; Nasim Rahaman; Hannah Alsdurf; Abhinav Sharma; Nanor Minoyan; Soren Harnois-Leblanc; Victor Schmidt; Pierre-Luc St-Charles; Tristan Deleu; Andrew Williams 008; et al. (CoRR, 2020)

Predicting Infectiousness for Proactive Contact Tracing. - Yoshua Bengio; Prateek Gupta; Tegan Maharaj; Nasim Rahaman; Martin Weiss; Tristan Deleu; Eilif Benjamin Müller; Meng Qu; Victor Schmidt; Pierre-Luc St-Charles; Hannah Alsdurf; Olexa Bilaniuk; et al. (ICLR, 2021)

Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning. - Arsène Fansi Tchango; Rishab Goel; Julien Martel; Zhi Wen; Gaétan Marceau-Caron; Joumana Ghosn (NeurIPS, 2022)

A Practical Survey on Faster and Lighter Transformers. - Quentin Fournier; Gaétan Marceau Caron; Daniel Aloise (ACM Comput. Surv., 2023)

CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset. - Akshatha Arodi; Margaux Luck; Jean-Luc Bedwani; Aldo Zaimi; Ge Li; Nicolas Pouliot; Julien Beaudry; Gaétan Marceau-Caron (NeurIPS, 2024)

OpenFake: An Open Dataset and Platform Toward Large-Scale Deepfake Detection. - Victor Livernoche; Akshatha Arodi; Andreea Musulan; Zachary Yang; Adam Salvail; Gaétan Marceau Caron; Jean-François Godbout; Reihaneh Rabbany (CoRR, 2025)