776 citations
- Université de MontréalCA16 papers
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- McGill UniversityCA10 papers
- Mila - Quebec Artificial Intelligence InstituteCA9 papers
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- Polytechnique MontréalCA7 papers
- Peking UniversityCN6 papers
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- Centre National de la Recherche ScientifiqueFR5 papers
- Université du Québec à MontréalCA5 papers
- Ghent UniversityBE4 papers
20 papers · 1 filter
Translation-invariant functional clustering on COVID-19 deaths adjusted on population risk factors
Amay SM Cheam, Marc Fredette, Matthieu Marbac +1
The COVID-19 pandemic has taken the world by storm with its high infection rate. Investigating its geographical disparities has paramount interest in order to gauge its relationshi…
Combining Cross Entropy and MADS methods for inequality constrained global optimization
Charles Audet, Romain Couderc, Jean Bigeon
This paper proposes a way to combine the Mesh Adaptive Direct Search (MADS) algorithm with the Cross-Entropy (CE) method for non smooth constrained optimization. The CE method is u…
Stochastic RWA and Lightpath Rerouting in WDM Networks
Maryam Daryalal, Merve Bodur
In a telecommunication network, Routing and Wavelength Assignment (RWA) is the problem of finding lightpaths for incoming connection requests. When facing a dynamic traffic, greedy…
Conditional canonical correlation estimation based on covariates with random forests
Cansu Alakus, Denis Larocque, Sebastien Jacquemont +5
Investigating the relationships between two sets of variables helps to understand their interactions and can be done with canonical correlation analysis (CCA). However, the correla…
XLVIN: eXecuted Latent Value Iteration Nets
Andreea Deac, Petar Veličković, Ognjen Milinković +3
Value Iteration Networks (VINs) have emerged as a popular method to incorporate planning algorithms within deep reinforcement learning, enabling performance improvements on tasks r…
Iterative Graph Self-Distillation
Hanlin Zhang, Shuai Lin, Weiyang Liu +4
Recently, there has been increasing interest in the challenge of how to discriminatively vectorize graphs. To address this, we propose a method called Iterative Graph Self-Distilla…