Christian Gagné
Christian Gagné
Professor at Université Laval - IID - LVSN - CeRVIM - CRDM - CIFAR - Mila
Verified email at - Homepage
Cited by
Cited by
DEAP: Evolutionary algorithms made easy
FA Fortin, FM De Rainville, MA Gardner, M Parizeau, C Gagné
Journal of Machine Learning Research 13, 2171-2175, 2012
Learning to predict indoor illumination from a single image
MA Gardner, K Sunkavalli, E Yumer, X Shen, E Gambaretto, C Gagné, ...
ACM Transactions on Graphics 9 (4), 2017
The surprising creativity of digital evolution: A collection of anecdotes from the evolutionary computation and artificial life research communities
J Lehman, J Clune, D Misevic, C Adami, L Altenberg, J Beaulieu, ...
Artificial life 26 (2), 274-306, 2020
DEAP: A Python Framework for Evolutionary Algorithms
FM De Rainville, FA Fortin, MA Gardner, M Parizeau, C Gagné
EvoSoft Workshop, Genetic and Evolutionary Computation Conference (GECCO …, 2012
Demand-side management using deep learning for smart charging of electric vehicles
KL López, C Gagné, MA Gardner
IEEE Transactions on Smart Grid 10 (3), 2683-2691, 2019
Deep active learning: Unified and principled method for query and training
C Shui, F Zhou, C Gagné, B Wang
International Conference on Artificial Intelligence and Statistics, 1308-1318, 2020
Genericity in evolutionary computation software tools: Principles and case-study
C Gagné, M Parizeau
International Journal on Artificial Intelligence Tools 15 (2), 173-194, 2006
Associative alignment for few-shot image classification
A Afrasiyabi, JF Lalonde, C Gagné
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Probabilistic Sensing Model for Sensor Placement Optimization Based on Line-of-Sight Coverage
V Akbarzadeh, C Gagné, M Parizeau, M Argany, MA Mostafavi
IEEE Transactions on Instrumentation and Measurement 62 (2), 293-303, 2013
Robustness to adversarial examples through an ensemble of specialists
M Abbasi, C Gagné
International Conference on Learning Representations (ICLR), Workshop Track, 2017
Deep parametric indoor lighting estimation
MA Gardner, Y Hold-Geoffroy, K Sunkavalli, C Gagné, JF Lalonde
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Analysis of a master-slave architecture for distributed evolutionary computations
M Dubreuil, C Gagné, M Parizeau
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 36 …, 2006
Genetic programming, validation sets, and parsimony pressure
C Gagné, M Schoenauer, M Parizeau, M Tomassini
European Conference on Genetic Programming (EuroGP), 109-120, 2006
Matching feature sets for few-shot image classification
A Afrasiyabi, H Larochelle, JF Lalonde, C Gagné
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
A GIS based wireless sensor network coverage estimation and optimization: a Voronoi approach
M Argany, MA Mostafavi, F Karimipour, C Gagné
Transactions on Computational Science XIV: Special Issue on Voronoi Diagrams …, 2011
Mixture-based feature space learning for few-shot image classification
A Afrasiyabi, JF Lalonde, C Gagné
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
Open BEAGLE: A new versatile C++ framework for evolutionary computation
C Gagné, M Parizeau
Genetic and Evolutionary Computation Conference (GECCO), Late-Breaking Papers, 2002
Bayesian hyperparameter optimization for ensemble learning
JC Lévesque, C Gagné, R Sabourin
Uncertainty in Artificial Intelligence (UAI), 2016
A machine learning approach for online automated optimization of super-resolution optical microscopy
A Durand, T Wiesner, MA Gardner, LÉ Robitaille, A Bilodeau, C Gagné, ...
Nature communications 9, 2018
Distributed BEAGLE: An environment for parallel and distributed evolutionary computations
C Gagné, M Parizeau, M Dubreuil
International Symposium on High Performance Computing Systems and …, 2003
The system can't perform the operation now. Try again later.
Articles 1–20