Laurent Charlin

Laurent Charlin

HEC Montréal

H-index: 30

North America-Canada

About Laurent Charlin

Laurent Charlin, With an exceptional h-index of 30 and a recent h-index of 28 (since 2020), a distinguished researcher at HEC Montréal, specializes in the field of Machine Learning, Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Joint bayesian inference of graphical structure and parameters with a single generative flow network

LitLLM: A Toolkit for Scientific Literature Review

Integrating Present and Past in Unsupervised Continual Learning

Applying Recurrent Neural Networks and Blocked Cross-Validation to Model Conventional Drinking Water Treatment Processes

Price forecasting in the Ontario electricity market via TriConvGRU hybrid model: Univariate vs. multivariate frameworks

Model-Based Graph Reinforcement Learning for Inductive Traffic Signal Control

Towards compute-optimal transfer learning

Improving the generalizability and robustness of large-scale traffic signal control

Laurent Charlin Information

University

Position

Assistant Professor & Mila Canada CIFAR AI Chair

Citations(all)

7510

Citations(since 2020)

6100

Cited By

3764

hIndex(all)

30

hIndex(since 2020)

28

i10Index(all)

44

i10Index(since 2020)

42

Email

University Profile Page

HEC Montréal

Google Scholar

View Google Scholar Profile

Laurent Charlin Skills & Research Interests

Machine Learning

Artificial Intelligence

Top articles of Laurent Charlin

Title

Journal

Author(s)

Publication Date

Joint bayesian inference of graphical structure and parameters with a single generative flow network

Neural Information Processing Systems 2023

Tristan Deleu

Mizu Nishikawa-Toomey

Jithendaraa Subramanian

Nikolay Malkin

Laurent Charlin

...

2023/5/30

LitLLM: A Toolkit for Scientific Literature Review

Shubham Agarwal

Issam H Laradji

Laurent Charlin

Christopher Pal

2024/2/2

Integrating Present and Past in Unsupervised Continual Learning

arXiv preprint arXiv:2404.19132

Yipeng Zhang

Laurent Charlin

Richard Zemel

Mengye Ren

2024/4/29

Applying Recurrent Neural Networks and Blocked Cross-Validation to Model Conventional Drinking Water Treatment Processes

Water

Aleksandar Jakovljevic

Laurent Charlin

Benoit Barbeau

2024/4/4

Price forecasting in the Ontario electricity market via TriConvGRU hybrid model: Univariate vs. multivariate frameworks

Applied Energy

Behdad Ehsani

Pierre-Olivier Pineau

Laurent Charlin

2024/4/1

Model-Based Graph Reinforcement Learning for Inductive Traffic Signal Control

arXiv preprint arXiv:2208.00659

François-Xavier Devailly

Denis Larocque

Laurent Charlin

2022/8/1

Towards compute-optimal transfer learning

arXiv preprint arXiv:2304.13164

Massimo Caccia

Alexandre Galashov

Arthur Douillard

Amal Rannen-Triki

Dushyant Rao

...

2023/4/25

Improving the generalizability and robustness of large-scale traffic signal control

IEEE Open Journal of Intelligent Transportation Systems

Tianyu Shi

François-Xavier Devailly

Denis Larocque

Laurent Charlin

2023/11/13

Should We Feed the Trolls? Using Marketer-Generated Content to Explain Average Toxicity and Product Usage

Journal of Interactive Marketing

Marcelo Vinhal Nepomuceno

Hooman Rahemi

Tolga Cenesizoglu

Laurent Charlin

2023/11

Plan-based Prompting Improves Literature Review Generation

Shubham Agarwal

Issam H Laradji

Laurent Charlin

Christopher Pal

2023/10/13

A Case Study of Instruction Tuning with Mixture of Parameter-Efficient Experts

Oleksiy Ostapenko

Lucas Caccia

Zhan Su

Nicolas Le Roux

Laurent Charlin

...

2023/11/26

Operational Research: methods and applications

Fotios Petropoulos

Gilbert Laporte

Emel Aktas

Sibel A Alumur

Claudia Archetti

...

2023/9/9

Challenging Common Assumptions about Catastrophic Forgetting and Knowledge Accumulation

Timothée Lesort

Oleksiy Ostapenko

Pau Rodríguez

Diganta Misra

Md Rifat Arefin

...

2023/11/20

From IID to the Independent Mechanisms assumption in continual learning

Oleksiy Ostapenko

Pau Rodríguez

Alexandre Lacoste

Laurent Charlin

2023/6/4

Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges

Massimo Caccia

Jonas Mueller

Taesup Kim

Laurent Charlin

Rasool Fakoor

2022

COIL: A deep architecture for column generation

Behrouz Babaki

Laurent Charlin

Sanjay Dominik Jena

2022/9

The machine learning for combinatorial optimization competition (ml4co): Results and insights

Maxime Gasse

Simon Bowly

Quentin Cappart

Jonas Charfreitag

Laurent Charlin

...

2022/7/20

Recommender Systems with Integrated Visual Representations

Arash Hamidian

Laurent Charlin

2022/12

Continual learning with foundation models: An empirical study of latent replay

Oleksiy Ostapenko

Timothee Lesort

Pau Rodríguez

Md Rifat Arefin

Arthur Douillard

...

2022/11/28

Learning to cut by looking ahead: Cutting plane selection via imitation learning

Max B Paulus

Giulia Zarpellon

Andreas Krause

Laurent Charlin

Chris Maddison

2022

See List of Professors in Laurent Charlin University(HEC Montréal)

Co-Authors

H-index: 227
Yoshua Bengio

Yoshua Bengio

Université de Montréal

H-index: 106
David Blei

David Blei

Columbia University in the City of New York

H-index: 98
Aaron Courville

Aaron Courville

Université de Montréal

H-index: 79
Richard Zemel

Richard Zemel

University of Toronto

H-index: 74
Joelle Pineau

Joelle Pineau

McGill University

H-index: 20
Iulian Vlad Serban

Iulian Vlad Serban

Université de Montréal

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