152 citations
- 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
48 papers
On (distance) Laplacian characteristic polynomials of power graphs
Bilal Ahmad Rather, Mustapha Aouchiche, Victor A. Bovdi
The characteristic polynomials of the Laplacian and the distance Laplacian matrices of power graphs of groups of order , where and are { primes,} are obtained.…
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…
Subsidizing a New Technology: An Impulse Stackelberg Game Approach
Utsav Sadana, Georges Zaccour
Governments are motivated to subsidize profit-driven firms that manufacture zero-emission vehicles to ensure they become price-competitive. This paper introduces a dynamic Stackelb…