Christian Gagné

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 61

Top Venues

CoRR

GRAPP

Neurocomputing

Canadian Conference on AI

Publications

Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Boyu Wang, Charles X. Ling
Generalizing across Temporal Domains with Koopman Operators. CoRR (2024)
Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Christian Gagné, Eric Eaton
Gap Minimization for Knowledge Sharing and Transfer. CoRR (2022)
Hugo Siqueira Gomes, Benjamin Léger, Christian Gagné
Meta Learning Black-Box Population-Based Optimizers. CoRR (2021)
Mohamed Abderrahmen Abid, Ihsen Hedhli, Jean-François Lalonde, Christian Gagné
Image-to-Image Translation with Low Resolution Conditioning. CoRR (2021)
Mohamed Abderrahmen Abid, Ihsen Hedhli, Christian Gagné
A Generative Model for Hallucinating Diverse Versions of Super Resolution Images. CoRR (2021)
Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles X. Ling, Boyu Wang
Aggregating From Multiple Target-Shifted Sources. CoRR (2021)
Caroline Sirois, Richard Khoury, Audrey Durand, Pierre-Luc Déziel, Olga Bukhtiyarova, Yohann Chiu, Denis Talbot, Alexandre Bureau, Philippe Després, Christian Gagné, François Laviolette, Anne-Marie Savard, Jacques Corbeil, Thierry Badard, Sonia Jean, Marc Simard
Exploring polypharmacy with artificial intelligence: data analysis protocol. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Changjian Shui, Boyu Wang, Christian Gagné
On the benefits of representation regularization in invariance based domain generalization. CoRR (2021)
Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles X. Ling, Boyu Wang
Aggregating From Multiple Target-Shifted Sources. ICML (2021)
Fan Zhou, Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné
Task Similarity Estimation Through Adversarial Multitask Neural Network. IEEE Trans. Neural Networks Learn. Syst. 32 (2) (2021)
Loïc Grossetête, Alexandre Marois, Bénédicte Chatelais, Christian Gagné, Daniel Lafond
Active Learning for Capturing Human Decision Policies in a Data Frugal Context. LOD (2021)
Changjian Shui, Fan Zhou, Christian Gagné, Boyu Wang
Deep Active Learning: Unified and Principled Method for Query and Training. AISTATS (2020)
Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagné, Rakesh B. Bobba
Toward Metrics for Differentiating Out-of-Distribution Sets. ECAI (2020)
Sébastien de Blois, Mathieu Garon, Christian Gagné, Jean-François Lalonde
Input Dropout for Spatially Aligned Modalities. CoRR (2020)
Mahdieh Abbasi, Arezoo Rajabi, Christian Gagné, Rakesh B. Bobba
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks. Canadian Conference on AI (2020)
Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, Boyu Wang
Beyond H-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence. CoRR (2020)
Mahdieh Abbasi, Denis Laurendeau, Christian Gagné
Self-supervised Robust Object Detectors from Partially Labelled datasets. CoRR (2020)
Sébastien de Blois, Mathieu Garon, Christian Gagné, Jean-François Lalonde
Input Dropout for Spatially Aligned Modalities. ICIP (2020)
Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné
Associative Alignment for Few-Shot Image Classification. ECCV (5) (2020)
Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Nick Cheney, Patryk Chrabaszcz, Antoine Cully, Stéphane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Léni K. Le Goff, Laura M. Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David P. Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Schulte, Karl Sims, Kenneth O. Stanley, François Taddei, Danesh Tarapore, Simon Thibault, Richard A. Watson, Westley Weimer, Jason Yosinski
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. Artif. Life 26 (2) (2020)
Bénédicte Chatelais, Daniel Lafond, Alexandre Hains, Christian Gagné
Improving Policy-Capturing with Active Learning for Real-Time Decision Support. IHSI (2020)
Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné
Persistent Mixture Model Networks for Few-Shot Image Classification. CoRR (2020)
Mahdieh Abbasi, Arezoo Rajabi, Christian Gagné, Rakesh B. Bobba
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks. CoRR (2020)
Changjian Shui, Fan Zhou, Christian Gagné, Boyu Wang
Deep Active Learning: Unified and Principled Method for Query and Training. CoRR (2019)
Sébastien de Blois, Ihsen Hedhli, Christian Gagné
Learning of Image Dehazing Models for Segmentation Tasks. EUSIPCO (2019)
Marc-André Gardner, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Christian Gagné, Jean-François Lalonde
Deep Parametric Indoor Lighting Estimation. CoRR (2019)
Karol Lina López Bedoya, Christian Gagné, Marc-André Gardner
Demand-Side Management Using Deep Learning for Smart Charging of Electric Vehicles. IEEE Trans. Smart Grid 10 (3) (2019)
Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné
A Principled Approach for Learning Task Similarity in Multitask Learning. CoRR (2019)
Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagné, Rakesh Bobba
Toward Metrics for Differentiating Out-of-Distribution Sets. CoRR (2019)
Sébastien de Blois, Ihsen Hedhli, Christian Gagné
Learning of Image Dehazing Models for Segmentation Tasks. CoRR (2019)
Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné
Associative Alignment for Few-shot Image Classification. CoRR (2019)
Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Christian Gagné
A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift. CoRR (2019)
Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Wilson Leão, Christian Gagné
Unsupervised Temperature Scaling: Post-Processing Unsupervised Calibration of Deep Models Decisions. CoRR (2019)
Marc-André Gardner, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Christian Gagné, Jean-François Lalonde
Deep Parametric Indoor Lighting Estimation. ICCV (2019)
Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné
A Principled Approach for Learning Task Similarity in Multitask Learning. IJCAI (2019)
Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Steeven Janny, Christian Gagné
A New Loss Function for Temperature Scaling to have Better Calibrated Deep Networks. CoRR (2018)
Changjian Shui, Ihsen Hedhli, Christian Gagné
Accumulating Knowledge for Lifelong Online Learning. CoRR (2018)
Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal
Learning to Become an Expert: Deep Networks Applied To Super-Resolution Microscopy. CoRR (2018)
Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Patryk Chrabaszcz, Nick Cheney, Antoine Cully, Stéphane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Leni K. Le Goff, Laura M. Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David P. Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Schulte, Karl Sims, Kenneth O. Stanley, François Taddei, Danesh Tarapore, Simon Thibault, Westley Weimer, Richard A. Watson, Jason Yosinski
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. CoRR (2018)
Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal
Learning to Become an Expert: Deep Networks Applied to Super-Resolution Microscopy. AAAI (2018)
Ahmed Najjar, Daniel Reinharz, Catherine Girouard, Christian Gagné
A two-step approach for mining patient treatment pathways in administrative healthcare databases. Artif. Intell. Medicine 87 (2018)
Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal
Rating Super-Resolution Microscopy Images With Deep Learning. AAAI (2018)
Arezoo Rajabi, Mahdieh Abbasi, Christian Gagné, Rakesh B. Bobba
Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning. CoRR (2018)
Alejandro Cervantes, Christian Gagné, Pedro Isasi, Marc Parizeau
Evaluating and Characterizing Incremental Learning from Non-Stationary Data. CoRR (2018)
Changjian Shui, Azadeh Sadat Mozafari, Jonathan Marek, Ihsen Hedhli, Christian Gagné
Diversity regularization in deep ensembles. CoRR (2018)
Mahdieh Abbasi, Arezoo Rajabi, Azadeh Sadat Mozafari, Rakesh B. Bobba, Christian Gagné
Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection. CoRR (2018)
Mahdieh Abbasi, Christian Gagné
Out-distribution training confers robustness to deep neural networks. CoRR (2018)
Karol Lina López Bedoya, Christian Gagné
Optimal Scheduling for Smart Charging of Electric Vehicles Using Dynamic Programming. Canadian Conference on AI (2018)
Audrey Durand, Jean-Alexandre Beaumont, Christian Gagné, Michel Lemay, Sébastien Paquet
Query Completion Using Bandits for Engines Aggregation. CoRR (2017)
Marc-André Gardner, Kalyan Sunkavalli, Ersin Yumer, Xiaohui Shen, Emiliano Gambaretto, Christian Gagné, Jean-François Lalonde
Learning to predict indoor illumination from a single image. ACM Trans. Graph. 36 (6) (2017)
Mahdieh Abbasi, Christian Gagné
Robustness to Adversarial Examples through an Ensemble of Specialists. CoRR (2017)
Audrey Durand, Christian Gagné
Estimating Quality in User-Guided Multi-Objective Bandits Optimization. CoRR (2017)
Julien-Charles Levesque, Audrey Durand, Christian Gagné, Robert Sabourin
Bayesian optimization for conditional hyperparameter spaces. IJCNN (2017)
Mahdieh Abbasi, Christian Gagné
Robustness to Adversarial Examples through an Ensemble of Specialists. ICLR (Workshop) (2017)
Marc-André Gardner, Kalyan Sunkavalli, Ersin Yumer, Xiaohui Shen, Emiliano Gambaretto, Christian Gagné, Jean-François Lalonde
Learning to Predict Indoor Illumination from a Single Image. CoRR (2017)
Farkhondeh Kiaee, Christian Gagné, Hamid Sheikhzadeh
A double-layer ELM with added feature selection ability using a sparse Bayesian approach. Neurocomputing 216 (2016)
Farkhondeh Kiaee, Christian Gagné, Mahdieh Abbasi
Alternating Direction Method of Multipliers for Sparse Convolutional Neural Networks. CoRR (2016)
Julien-Charles Levesque, Christian Gagné, Robert Sabourin
Bayesian Hyperparameter Optimization for Ensemble Learning. UAI (2016)
Julien-Charles Levesque, Christian Gagné, Robert Sabourin
Bayesian Hyperparameter Optimization for Ensemble Learning. CoRR (2016)
Vahab Akbarzadeh, Christian Gagné, Marc Parizeau
Sensor control for temporal coverage optimization. CEC (2016)
Sophie Baillargeon, Simon Hallé, Christian Gagné
Stream clustering of tweets. ASONAM (2016)
Meysam Argany, Mir Abolfazl Mostafavi, Christian Gagné
Context-Aware Local Optimization of Sensor Network Deployment. J. Sens. Actuator Networks 4 (3) (2015)
François-Michel De Rainville, Jean-Philippe Mercier, Christian Gagné, Philippe Giguère, Denis Laurendeau
Multisensor placement in 3D environments via visibility estimation and derivative-free optimization. ICRA (2015)
Mahdieh Abbasi, Hamid R. Rabiee, Christian Gagné
Monocular 3D Human Pose Estimation with a Semi-supervised Graph-Based Method. 3DV (2015)
Karol Lina López Bedoya, Christian Gagné, Germán Castellanos-Domínguez, Mauricio Orozco-Alzate
Training subset selection in Hourly Ontario Energy Price forecasting using time series clustering-based stratification. Neurocomputing 156 (2015)
Zahra Toony, Denis Laurendeau, Christian Gagné
PGP2X: Principal Geometric Primitives Parameters Extraction. GRAPP (2015)
Marc-André Gardner, Christian Gagné, Marc Parizeau
Controlling code growth by dynamically shaping the genotype size distribution. Genet. Program. Evolvable Mach. 16 (4) (2015)
Vahab Akbarzadeh, Christian Gagné, Marc Parizeau
Kernel density estimation for target trajectory prediction. IROS (2015)
Ahmed Najjar, Christian Gagné, Daniel Reinharz
Two-Step Heterogeneous Finite Mixture Model Clustering for Mining Healthcare Databases. ICDM (2015)
Ahmed Najjar, Christian Gagné, Daniel Reinharz
A novel mixed values k-prototypes algorithm with application to health care databases mining. CICARE (2014)
Zahra Toony, Denis Laurendeau, Philippe Giguère, Christian Gagné
3D-NCuts: Adapting Normalized Cuts to 3D Triangulated Surface Segmentation. GRAPP (2014)
Vahab Akbarzadeh, Julien-Charles Levesque, Christian Gagné, Marc Parizeau
Efficient Sensor Placement Optimization Using Gradient Descent and Probabilistic Coverage. Sensors 14 (8) (2014)
Vahab Akbarzadeh, Christian Gagné, Marc Parizeau
Target Trajectory Prediction in PTZ Camera Networks. CVPR Workshops (2013)
Yannick Hold-Geoffroy, Marc-André Gardner, Christian Gagné, Maxime Latulippe, Philippe Giguère
ros4mat: A Matlab Programming Interface for Remote Operations of ROS-Based Robotic Devices in an Educational Context. CRV (2013)
Vahab Akbarzadeh, Christian Gagné, Marc Parizeau, Meysam Argany, Mir Abolfazl Mostafavi
Probabilistic Sensing Model for Sensor Placement Optimization Based on Line-of-Sight Coverage. IEEE Trans. Instrum. Meas. 62 (2) (2013)
Darwin Brochero, Christian Gagné, François Anctil
Evolutionary multiobjective optimization for selecting members of an ensemble streamflow forecasting model. GECCO (2013)
Christian Gagné
Evolutionary computation for supervised learning. GECCO (Companion) (2013)
François-Michel De Rainville, Michèle Sebag, Christian Gagné, Marc Schoenauer, Denis Laurendeau
Sustainable cooperative coevolution with a multi-armed bandit. GECCO (2013)
Julien-Charles Levesque, Louis-Philippe Morency, Christian Gagné
Sequential emotion recognition using Latent-Dynamic Conditional Neural Fields. FG (2013)
Marc-André Gardner, Christian Gagné, Marc Parizeau
Combinatorial optimization EDA using hidden Markov models. GECCO (Companion) (2013)
Zahra Toony, Denis Laurendeau, Philippe Giguère, Christian Gagné
3D-PIC: Power Iteration Clustering for segmenting three-dimensional models. 3DTV-Conference (2013)
François-Michel De Rainville, Michèle Sebag, Christian Gagné, Marc Schoenauer, Denis Laurendeau
Sustainable Cooperative Coevolution with a Multi-Armed Bandit CoRR (2013)
Marc-André Gardner, Christian Gagné, Marc Parizeau
Estimation of distribution algorithm based on hidden Markov models for combinatorial optimization. GECCO (Companion) (2013)
François-Michel De Rainville, Félix-Antoine Fortin, Marc-André Gardner, Marc Parizeau, Christian Gagné
DEAP: a python framework for evolutionary algorithms. GECCO (Companion) (2012)
François-Michel De Rainville, Christian Gagné, Olivier Teytaud, Denis Laurendeau
Evolutionary optimization of low-discrepancy sequences. ACM Trans. Model. Comput. Simul. 22 (2) (2012)
François-Michel De Rainville, Christian Gagné, Denis Laurendeau
Co-adapting mobile sensor networks to maximize coverage in dynamic environments. GECCO (Companion) (2012)
Félix-Antoine Fortin, François-Michel De Rainville, Marc-André Gardner, Marc Parizeau, Christian Gagné
DEAP: evolutionary algorithms made easy. J. Mach. Learn. Res. 13 (2012)
Audrey Durand, Christian Gagné, Léon Nshimyumukiza, Mathieu Gagnon, François Rousseau, Yves Giguère, Daniel Reinharz
Population-Based Simulation for Public Health: Generic Software Infrastructure and Its Application to Osteoporosis. IEEE Trans. Syst. Man Cybern. Part A 42 (6) (2012)
Julien-Charles Levesque, Audrey Durand, Christian Gagné, Robert Sabourin
Multi-objective evolutionary optimization for generating ensembles of classifiers in the ROC space. GECCO (2012)
Meysam Argany, Mir Abolfazl Mostafavi, Farid Karimipour, Christian Gagné
A GIS Based Wireless Sensor Network Coverage Estimation and Optimization: A Voronoi Approach. Trans. Comput. Sci. 14 (2011)
Marc-André Gardner, Christian Gagné, Marc Parizeau
Bloat control in genetic programming with a histogram-based accept-reject method. GECCO (Companion) (2011)
Vahab Akbarzadeh, Christian Gagné, Marc Parizeau, Mir Abolfazl Mostafavi
Black-box optimization of sensor placement with elevation maps and probabilistic sensing models. ROSE (2011)
Vahab Akbarzadeh, Albert Hung-Ren Ko, Christian Gagné, Marc Parizeau
Topography-Aware Sensor Deployment Optimization with CMA-ES. PPSN (2) (2010)
Audrey Durand, Christian Gagné, Marc-André Gardner, François Rousseau, Yves Giguère, Daniel Reinharz
SCHNAPS: a generic population-based simulator for public health purposes. SummerSim (2010)
Jean Berger, Jens Happe, Christian Gagné, Martin Lau
Co-evolutionary information gathering for a cooperative unmanned aerial vehicle team. FUSION (2009)
Nur Merve Amil, Nicolas Bredèche, Christian Gagné, Sylvain Gelly, Marc Schoenauer, Olivier Teytaud
A Statistical Learning Perspective of Genetic Programming. EuroGP (2009)
Juan Luis Jiménez Laredo, Carlos M. Fernandes, Juan Julián Merelo Guervós, Christian Gagné
Improving genetic algorithms performance via deterministic population shrinkage. GECCO (2009)
François-Michel De Rainville, Christian Gagné, Olivier Teytaud, Denis Laurendeau
Optimizing low-discrepancy sequences with an evolutionary algorithm. GECCO (2009)
Benoit Quenneville, Suzanne Fortier, Christian Gagné
A non-parametric iterative smoothing method for benchmarking and temporal distribution. Comput. Stat. Data Anal. 53 (9) (2009)
Christian Gagné, Julie Beaulieu, Marc Parizeau, Simon Thibault
Human-competitive lens system design with evolution strategies. Appl. Soft Comput. 8 (4) (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Christian Gagné