Christian Gagné

Membre Académique Associé
Christian Gagné
Professeur titulaire, Université Laval
Christian Gagné

Christian Gagné est professeur titulaire au département de génie électrique et de génie informatique de l’Université Laval. Ses intérêts de recherche portent sur l’élaboration de méthodes pour l’apprentissage automatique et l’optimisation stochastique. En particulier, il s’intéresse aux réseaux de neurones profonds, à l’apprentissage et au transfert de représentations, au méta-apprentissage ainsi qu’à l’apprentissage multitâche.

Publications

2020-10

Task Similarity Estimation Through Adversarial Multitask Neural Network.
Fan Zhou, Changjian Shui, Mahdieh Abbasi, Louis-Emile Robitaille, Boyu Wang and Christian Gagne
IEEE Transactions on Neural Networks
(2020-10-28)
xplorestaging.ieee.org

2020-07

Beyond $\mathcal{H}$-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence
Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné and Boyu Wang
arXiv preprint arXiv:2007.15567
(2020-07-30)
arxiv.orgPDF
Neuronal activity remodels the F-actin based submembrane lattice in dendrites but not axons of hippocampal neurons
Flavie Lavoie-Cardinal, Anthony Bilodeau, Mado Lemieux, Marc-André Gardner, Theresa Wiesner, Gabrielle Laramée, Christian Gagné and Paul De Koninck
Scientific Reports
(2020-07-20)
www.nature.com[Also on bioRxiv (2020-05-30)]

2020-06

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.
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, Stephane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Fŕenoy... (33 more)
Artificial Life
(2020-06-03)
hal.inria.frPDF
Deep Active Learning: Unified and Principled Method for Query and Training
Changjian Shui, Fan Zhou, Christian Gagné and Boyu Wang

2020-05

Self-supervised Robust Object Detectors from Partially Labelled datasets.
Mahdieh Abbasi, Denis Laurendeau and Christian Gagne
arXiv preprint arXiv:2005.11549
(2020-05-23)
ui.adsabs.harvard.eduPDF
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks
Mahdieh Abbasi, Arezoo Rajabi, Christian Gagné and Rakesh B. Bobba
TRACKING AND PREDICTING COVID-19 RADIOLOGICAL TRAJECTORY USING DEEP LEARNING ON CHEST X-RAYS: INITIAL ACCURACY TESTING
Simon Duchesne, Daniel Gourdeau, Patrick Archambault, Carl Chartrand-Lefebvre, Louis Dieumegarde, Reza Forghani, Christian Gagne, Alexandre Hains, David Hornstein, Huy Le, Simon Lemieux, Marie-Helene Levesque, Diego Martin, Lorne Rosenbloom, An Tang, Fabrizio Vecchio and Nathalie Duchesne
medRxiv
(2020-05-05)
www.medrxiv.orgPDF

2020-02

Improving Policy-Capturing with Active Learning for Real-Time Decision Support
Bénédicte Chatelais, Daniel Lafond, Alexandre Hains and Christian Gagné
International Conference on Intelligent Human Systems Integration
(2020-02-19)
doi.org
Input Dropout for Spatially Aligned Modalities
Sébastien de Blois, Mathieu Garon, Christian Gagné and Jean-François Lalonde
ICIP 2020
(2020-02-07)
ui.adsabs.harvard.edu
Input Dropout for Spatially Aligned Modalities
Sébastien de Blois, Mathieu Garon, Christian Gagné and Jean-François Lalonde
arXiv preprint arXiv:2002.02852
(2020-02-07)
ui.adsabs.harvard.eduPDF

2019-12

Associative Alignment for Few-shot Image Classification
Arman Afrasiyabi, Jean-François Lalonde and Christian Gagné
ECCV 2019
(2019-12-11)
dblp.uni-trier.de
Associative Alignment for Few-shot Image Classification
Arman Afrasiyabi, Jean-François Lalonde and Christian Gagné
arXiv preprint arXiv:1912.05094
(2019-12-11)
dblp.uni-trier.dePDF

2019-11

A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift.
Azadeh Sadat Mozafari, Hugo Siqueira Gomes and Christian Gagné
arXiv preprint arXiv:1911.11195
(2019-11-25)
dblp.uni-trier.dePDF

2019-10

Toward Metrics for Differentiating Out-of-Distribution Sets
Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagné and Rakesh B. Bobba
ECAI 2019
(2019-10-18)
dblp.uni-trier.de
Toward Metrics for Differentiating Out-of-Distribution Sets.
Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagné and Rakesh Bobba
arXiv preprint arXiv:1910.08650
(2019-10-18)
dblp.uni-trier.dePDF
Deep Parametric Indoor Lighting Estimation
Marc-Andre Gardner, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Christian Gagne and Jean-Francois Lalonde

2019-09

Unsupervised Temperature Scaling: Robust Post-processing Calibration for Domain Shift
Azadeh Sadat Mozafari, Hugo Siqueira Gomes and Christian Gagne
(venue unknown)
(2019-09-25)
openreview.net
Learning of Image Dehazing Models for Segmentation Tasks
Sebastien de Blois, Ihsen Hedhli and Christian Gagne
EUSIPCO 2019
(2019-09-01)
dblp.uni-trier.dePDF

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