| 2026 | GECCO | Analyzing Flexible Search Distributions in Black-Box Optimization with Normalizing Flow-based Estimation of Distribution Algorithms. | Sara Karami, Christian Gagn |
| 2025 | AAAI | A Layer Selection Approach to Test Time Adaptation. | Sabyasachi Sahoo, Mostafa ElAraby, Jonas Ngnaw, Yann Batiste Pequignot, Frdric Precioso, Christian Gagn |
| 2024 | AAAI | Generalizing across Temporal Domains with Koopman Operators. | Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagn, Shichun Yang, Charles X. Ling, Boyu Wang |
| 2022 | CVPR | Matching Feature Sets for Few-Shot Image Classification. | Arman Afrasiyabi, Hugo Larochelle, Jean-Franois Lalonde, Christian Gagn |
| 2022 | ICML | Fair Representation Learning through Implicit Path Alignment. | Changjian Shui, Qi Chen, Jiaqi Li, Boyu Wang, Christian Gagn |
| 2021 | ICCV | Mixture-based Feature Space Learning for Few-shot Image Classification. | Arman Afrasiyabi, Jean-Franois Lalonde, Christian Gagn |
| 2021 | ICML | Aggregating From Multiple Target-Shifted Sources. | Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagn, Charles X. Ling, Boyu Wang |
| 2020 | AI | Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks. | Mahdieh Abbasi, Arezoo Rajabi, Christian Gagn, Rakesh B. Bobba |
| 2020 | AISTATS | Deep Active Learning: Unified and Principled Method for Query and Training. | Changjian Shui, Fan Zhou, Christian Gagn, Boyu Wang |
| 2020 | ECAI | Toward Metrics for Differentiating Out-of-Distribution Sets. | Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagn, Rakesh B. Bobba |
| 2020 | ECCV | Associative Alignment for Few-Shot Image Classification. | Arman Afrasiyabi, Jean-Franois Lalonde, Christian Gagn |
| 2020 | ICIP | Input Dropout for Spatially Aligned Modalities. | Sbastien de Blois, Mathieu Garon, Christian Gagn, Jean-Franois Lalonde |
| 2019 | ICCV | Deep Parametric Indoor Lighting Estimation. | Marc-Andr Gardner, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Christian Gagn, Jean-Franois Lalonde |
| 2019 | IJCAI | A Principled Approach for Learning Task Similarity in Multitask Learning. | Changjian Shui, Mahdieh Abbasi, Louis-mile Robitaille, Boyu Wang, Christian Gagn |
| 2018 | AAAI | Learning to Become an Expert: Deep Networks Applied to Super-Resolution Microscopy. | Louis-mile Robitaille, Audrey Durand, Marc-Andr Gardner, Christian Gagn, Paul De Koninck, Flavie Lavoie-Cardinal |
| 2018 | AAAI | Rating Super-Resolution Microscopy Images With Deep Learning. | Louis-mile Robitaille, Audrey Durand, Marc-Andr Gardner, Christian Gagn, Paul De Koninck, Flavie Lavoie-Cardinal |
| 2018 | AI | Optimal Scheduling for Smart Charging of Electric Vehicles Using Dynamic Programming. | Karol Lina Lpez Bedoya, Christian Gagn |
| 2017 | ICLR | Robustness to Adversarial Examples through an Ensemble of Specialists. | Mahdieh Abbasi, Christian Gagn |
| 2017 | IJCNN | Bayesian optimization for conditional hyperparameter spaces. | Julien-Charles Levesque, Audrey Durand, Christian Gagn, Robert Sabourin |
| 2016 | CEC | Sensor control for temporal coverage optimization. | Vahab Akbarzadeh, Christian Gagn, Marc Parizeau |
| 2016 | UAI | Bayesian Hyperparameter Optimization for Ensemble Learning. | Julien-Charles Levesque, Christian Gagn, Robert Sabourin |
| 2015 | ICDM | Two-Step Heterogeneous Finite Mixture Model Clustering for Mining Healthcare Databases. | Ahmed Najjar, Christian Gagn, Daniel Reinharz |
| 2015 | ICRA | Multisensor placement in 3D environments via visibility estimation and derivative-free optimization. | Franois-Michel De Rainville, Jean-Philippe Mercier, Christian Gagn, Philippe Gigure, Denis Laurendeau |
| 2015 | IROS | Kernel density estimation for target trajectory prediction. | Vahab Akbarzadeh, Christian Gagn, Marc Parizeau |
| 2013 | CVPR | Target Trajectory Prediction in PTZ Camera Networks. | Vahab Akbarzadeh, Christian Gagn, Marc Parizeau |
| 2013 | GECCO | Evolutionary multiobjective optimization for selecting members of an ensemble streamflow forecasting model. | Darwin Brochero, Christian Gagn, Franois Anctil |
| 2013 | GECCO | Evolutionary computation for supervised learning. | Christian Gagn |
| 2013 | GECCO | Estimation of distribution algorithm based on hidden Markov models for combinatorial optimization. | Marc-Andr Gardner, Christian Gagn, Marc Parizeau |
| 2013 | GECCO | Combinatorial optimization EDA using hidden Markov models. | Marc-Andr Gardner, Christian Gagn, Marc Parizeau |
| 2013 | GECCO | Sustainable cooperative coevolution with a multi-armed bandit. | Franois-Michel De Rainville, Michle Sebag, Christian Gagn, Marc Schoenauer, Denis Laurendeau |
| 2012 | GECCO | Multi-objective evolutionary optimization for generating ensembles of classifiers in the ROC space. | Julien-Charles Levesque, Audrey Durand, Christian Gagn, Robert Sabourin |
| 2012 | GECCO | DEAP: a python framework for evolutionary algorithms. | Franois-Michel De Rainville, Flix-Antoine Fortin, Marc-Andr Gardner, Marc Parizeau, Christian Gagn |
| 2012 | GECCO | Co-adapting mobile sensor networks to maximize coverage in dynamic environments. | Franois-Michel De Rainville, Christian Gagn, Denis Laurendeau |
| 2011 | GECCO | Bloat control in genetic programming with a histogram-based accept-reject method. | Marc-Andr Gardner, Christian Gagn, Marc Parizeau |
| 2010 | PPSN | Topography-Aware Sensor Deployment Optimization with CMA-ES. | Vahab Akbarzadeh, Albert Hung-Ren Ko, Christian Gagn, Marc Parizeau |
| 2009 | EUROGP | A Statistical Learning Perspective of Genetic Programming. | Nur Merve Amil, Nicolas Bredche, Christian Gagn, Sylvain Gelly, Marc Schoenauer, Olivier Teytaud |
| 2009 | FUSION | Co-evolutionary information gathering for a cooperative unmanned aerial vehicle team. | Jean Berger, Jens Happe, Christian Gagn, Martin Lau |
| 2009 | GECCO | Improving genetic algorithms performance via deterministic population shrinkage. | Juan Luis Jimnez Laredo, Carlos M. Fernandes, Juan Julin Merelo Guervs, Christian Gagn |
| 2009 | GECCO | Optimizing low-discrepancy sequences with an evolutionary algorithm. | Franois-Michel De Rainville, Christian Gagn, Olivier Teytaud, Denis Laurendeau |
| 2007 | GECCO | Ensemble learning for free with evolutionary algorithms? | Christian Gagn, Michle Sebag, Marc Schoenauer, Marco Tomassini |
| 2006 | CEC | Resource-Aware Parameterizations of EDA. | Sylvain Gelly, Olivier Teytaud, Christian Gagn |
| 2006 | EUROGP | Genetic Programming, Validation Sets, and Parsimony Pressure. | Christian Gagn, Marc Schoenauer, Marc Parizeau, Marco Tomassini |
| 2006 | PPSN | Genetic Programming for Kernel-Based Learning with Co-evolving Subsets Selection. | Christian Gagn, Marc Schoenauer, Michle Sebag, Marco Tomassini |
| 2003 | GECCO | The Master-Slave Architecture for Evolutionary Computations Revisited. | Christian Gagn, Marc Parizeau, Marc Dubreuil |
| 2002 | GECCO | Lens System Design And Re-engineering With Evolutionary Algorithms. | Julie Beaulieu, Christian Gagn, Marc Parizeau |
| 2002 | GECCO | Open BEAGLE: A New C++ Evolutionary Computation Framework. | Christian Gagn, Marc Parizeau |
| 2002 | GECCO | Open BEAGLE: A New Versatile C++ Framework for Evolutionary Computation. | Christian Gagn, Marc Parizeau |
| 2002 | ICFHR | Genetic engineering of handwriting representations. | Alexandre Lemieux, Christian Gagn, Marc Parizeau |
| 2001 | ICDAR | Character Recognition Experiments Using Unipen Data. | Marc Parizeau, Alexandre Lemieux, Christian Gagn |