152 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Polytechnique MontréalCA27 papers
- HEC MontréalCA13 papers
- McGill UniversityCA9 papers
- Université de MontréalCA6 papers
- Mila - Quebec Artificial Intelligence InstituteCA5 papers
- Université de SherbrookeCA4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Université Fédérale de Toulouse Midi-PyrénéesFR3 papers
- University of EdinburghGB3 papers
- Kyoto UniversityJP2 papers
- Laboratoire des Sciences du Numérique de NantesFR2 papers
- Laboratoire des Sciences pour la Conception, l'Optimisation et la ProductionFR2 papers
4 papers · 1 filter
Modeling Hierarchical Spaces: A Review and Unified Framework for Surrogate-Based Architecture Design
Paul Saves, Edward Hallé-Hannan, Jasper Bussemaker +2
Simulation-based problems involving mixed-variable inputs frequently feature domains that are hierarchical, conditional, heterogeneous, or tree-structured. These characteristics po…
MTLoc: A Confidence-Based Source-Free Domain Adaptation Approach For Indoor Localization
Negar Mehregan, Berk Bozkurt, Eric Granger +2
Various deep learning models have been developed for indoor localization based on radio-frequency identification (RFID) tags. However, they often require adaptation to ensure accur…
High-Dimensional Bayesian Optimization Using Both Random and Supervised Embeddings
Rémy Priem, Youssef Diouane, Nathalie Bartoli +2
Bayesian optimization (BO) is one of the most powerful strategies to solve computationally expensive-to-evaluate blackbox optimization problems. However, BO methods are conventiona…
A Theoretical Justification for Asymmetric Actor-Critic Algorithms
Gaspard Lambrechts, Damien Ernst, Aditya Mahajan
In reinforcement learning for partially observable environments, many successful algorithms have been developed within the asymmetric learning paradigm. This paradigm leverages add…