Louis-Émile Robitaille

According to our database, Louis-Émile Robitaille authored at least 5 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2021

Task Similarity Estimation Through Adversarial Multitask Neural Network.

Fan Zhou, Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné

IEEE Trans. Neural Networks Learn. Syst., 2021

2019

A Principled Approach for Learning Task Similarity in Multitask Learning.

Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Rating Super-Resolution Microscopy Images With Deep Learning.

Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Learning to Become an Expert: Deep Networks Applied to Super-Resolution Microscopy.

Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2015

Efficient Learning of Ensembles with QuadBoost.

Louis Fortier-Dubois, François Laviolette, Mario Marchand, Louis-Émile Robitaille, Jean-Francis Roy

CoRR, 2015