MS1 en-us
MS2 Associate Professor (m)
MS3 Associate Professor (m)
MS4 Associate Professor
MS2 Associate Professor (m)
MS3 Associate Professor (m)
MS4 Associate Professor
Laurent Charlin
Associate Professor, Department of Decision Sciences
Contact information
HEC Montréal3000, chemin de la Côte-Sainte-Catherine
Montréal (Québec)
Canada H3T 2A7
Email : laurent.charlin@hec.ca
Phone : 514 340-1482
Secretary: 514 340-6472
Fax : n/a
Office : 4.830
Personal page
Other title(s)
- Member, Chair « Data Science for Real-time decision making »
- Member, MILA
- Member, Centre de recherche en mathématiques
- Holder of a Canada CIFAR Chair in Artificial Intelligence
Education
- Ph. D. (informatique), University of Toronto
- MMath (informatique), University of Waterloo
Expertise
- Machine learning
- Artificial intelligence
- Recommender systems
- Bayesian statistics
- Deep learning
Current research
- Forthcoming
This publication selection covers the last five years.
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Journal articles (4)
SHI, Tianyu, DEVAILLY, François-Xavier, LAROCQUE, Denis, CHARLIN, Laurent;
« Improving the generalizability and robustness of large-scale traffic signal control »,
IEEE Open Journal of Intelligent Transportation Systems, 2023 (status : online).
ELMASRI, Mohamad, LABBE, Aurélie, LAROCQUE, Denis, CHARLIN, Laurent;
« Predictive inference for travel time on transportation networks »,
Annals of Applied Statistics, 2023 (status : accepted).
NEPOMUCENO, Marcelo Vinhal, RAHEMI, Hooman, CENESIZOGLU, Tolga, CHARLIN, Laurent;
« Should We Feed the Trolls? Using Marketer-Generated Content to Explain Average Toxicity and Product Usage »,
Journal of Interactive Marketing, vol. 58, no 4, 2023, p. 440-462.
DEVAILLY, François-Xavier, LAROCQUE, Denis, CHARLIN, Laurent;
« IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control »,
IEEE Transactions on Intelligent Transportation Systems, vol. 23, no 7, 2022, p. 7496-7507.
This selection of supervision activities covers the last five years.
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Dissertation direction – PhD in Administration (1)
In codirection with : LAROCQUE, Denis
Three essays on Inductive Graph Reinforcement Learning for Scalable Traffic Signal Control, by François-Xavier Devailly
May 2023
Three essays on Inductive Graph Reinforcement Learning for Scalable Traffic Signal Control, by François-Xavier Devailly
May 2023
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Master's thesis direction – MSc in Management (7)
In codirection with : PINEAU, Pierre-Olivier
Price Forecasting in the Ontario Electricity Market via TriConvGRU Hybrid Model: Univariate vs. Multivariate Frameworks, by Behdad Ehsani
August 2023
Price Forecasting in the Ontario Electricity Market via TriConvGRU Hybrid Model: Univariate vs. Multivariate Frameworks, by Behdad Ehsani
August 2023
Recommender Systems with Integrated Visual Representations, by Arash Hamidian
March 2023
March 2023
Monte Carlo Tree Search to Solve Integer Programming Problems, by Vincent Fortin
May 2021
May 2021
In codirection with : ADULYASAK, Yossiri
Forecasting Retail Sales Using Google Trends and Machine Learning, by Feras Al-Basha
May 2021
Forecasting Retail Sales Using Google Trends and Machine Learning, by Feras Al-Basha
May 2021
Don't forget to Tag me!: The effect of metadata in open-domain story generation, by Lourdes Crivelli
March 2021
March 2021
Optimal Order Execution with Deep Reinforcement Learning, by Brittany Rockwell
May 2020
May 2020
La segmentation par séquence: une application sur l'évolution du style de jeu des joueurs dans un jeu vidéo FPS, by Clarisse Bailliart
November 2018
November 2018
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Supervised project supervision – MSc in Management (28)
Synthetic Souls : extraction et classification de données de joueurs humains , by Mathieu Roy-Caissy
August 2023
August 2023
Conception et déploiement d'un système d'analyse de l'équilibre des jeux vidéo avec l'apprentissage automatique profond et l'algorithme génétique , by Zishi Zhong
August 2023
August 2023
Détection de «covariate shift» , by Jihene Jamila Ben Miled
August 2023
August 2023
Federated Learning on Sensitive Mobile Data , by Rongde Liang
August 2023
August 2023
Prédiction des admissions au service d'urgence du Centre Hospitalier Universitaire de Montréal , by Lorrie Herbault
March 2023
March 2023
Topic classification with NLP models , by Huanhuan Huang
March 2023
March 2023
Mise en place d'un modèle de prédiction des émotions basées sur la voix ou des fichiers audio , by Rivelino Rodriguez Manigat
November 2022
November 2022
Conception d'un modèle d'acquisition de nouveaux contributeurs , by Abdoulaye Sakho
August 2022
August 2022
Daily Prediction of Major Incidents Occurring on Société Générale's Applications , by Fatima Bohsali
August 2022
August 2022
Étude comparative de techniques d'apprentissage automatique pour le traitement des commentaires formulés par les répondants au cours du Recensement Canadien de 2021 , by Alexandre Istrate
August 2022
August 2022
Système de recommandation d'adresses gourmandes à l'aide de méthodes d'ensemble , by Samy Senoune
August 2022
August 2022
In codirection with : VIAL, Gregory
Managing data quality issues within the CDPQ data lake: From anomaly prediction to anomaly detection , by Franck Joseph Benichou
August 2022
Managing data quality issues within the CDPQ data lake: From anomaly prediction to anomaly detection , by Franck Joseph Benichou
August 2022
Conception d'un système de recommandation équitable et diversifié de bonnes adresses gastronomiques , by Alassane Dial Diop
March 2022
March 2022
Les modèles de sujets pour les évaluations clients , by Ella Tatiana Kenfack Tezembong
September 2021
September 2021
Leveraging deep learning and remote sensing for the detection and management of wildfires , by Yuchen Wang
September 2021
September 2021
Mise en place d'un modèle de détection et de tracking d'individus dans le but de pouvoir les compter , by Mohamed Amine Zoglat
September 2021
September 2021
Extraction de l'information pertinente contenue dans les curriculum vitae à l'aide de modèles en apprentissage automatique , by Vincent Morel
September 2021
September 2021
In codirection with : LABRECQUE, JoAnne
Création d'un système de recommandation algorithmique chez tastet.ca , by Gabriella Bincoletto-Montpetit
September 2021
Création d'un système de recommandation algorithmique chez tastet.ca , by Gabriella Bincoletto-Montpetit
September 2021
The use of machine learning to support the decision-making process in venture capital , by Arthur Gerbé
May 2021
May 2021
Advanced Recommender Systems for E-commerce: Graph Neural Networks at Decathlon , by Jérémi DeBlois-Beaucage
May 2021
May 2021
People Counting System for the Static Entrance of PDM , by Qiuhua Liu
March 2021
March 2021
Implémentation d'un système de recommandation pour un journal numérique , by Yahya Laraki
January 2021
January 2021
Comment prédire les incidents majeurs sur les applications de l'equity chain pour une meilleure anticipation des risques ? , by Vinh Nguyen
January 2021
January 2021
Optimisation de la catégorisation des commentaires de sondages de satisfaction , by El Mehdi El Aouni
September 2020
September 2020
Prototypes dans le cadre du projet Legacy Equipment Digitalization au Conseil national de recherches Canada , by Pier-Luc Dassylva Menier
September 2020
September 2020
In codirection with : VAN NORDEN, Simon
Visualisation de données, réduction des dimensions et crises financières , by Jessica Renaud
March 2019
Visualisation de données, réduction des dimensions et crises financières , by Jessica Renaud
March 2019
Réalisation d'une analyse de regroupements de clients selon l'exposition au risque de leur portefeuille comme nouvel outil de mesure de performance , by Charles Vallières-Gingras
November 2018
November 2018
Optimisation de l'environnement urbain par l'apprentissage automatisé des parcours , by Amir Haddad
March 2018
March 2018