Laurent Charlin
- Artificial Intelligence top 2%
- Topic Modeling 3
- Domain Adaptation and Few-Shot Learning 3
- Machine Learning and Algorithms 2
- Natural Language Processing Techniques 2
- Machine Learning and Data Classification 2
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- Multimodal Machine Learning Applications 3
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- Traffic Prediction and Management Techniques 2
- Control and Systems Engineering top 10%
- Traffic control and management 3
- Co-authors
- Joëlle PineauRyan LoweIulian Vlad SerbanChia‐Wei LiuM. CacciaDenis LarocqueMin LinEugene Belilovsky
- Journals
- Energy and Buildings (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)IEEE Open Journal of Intelligent Transportation Systems (2 papers)
- Partner nations
- CanadaItalyUnited States
In The Last Decade
Laurent Charlin
13 papers receiving 877 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 775
- Computer Vision and Pattern Recognition 231
- Transportation 22
- Building and Construction 43
- Control and Systems Engineering 67
Countries citing papers authored by Laurent Charlin
This map shows the geographic impact of Laurent Charlin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Laurent Charlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurent Charlin more than expected).
Fields of papers citing papers by Laurent Charlin
This network shows the impact of papers produced by Laurent Charlin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Laurent Charlin. The network helps show where Laurent Charlin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Laurent Charlin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2023 | 9 | |
| 5 | 2021 | 68 | |
| 6 | 2021 | 4 | |
| 7 | 2021 | 19 | |
| 8 | Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning | 2020 | 23 |
| 9 | Language GANs Falling Short | 2020 | 34 |
| 10 | Online Continual Learning with Maximal Interfered Retrieval | 2019 | 109 |
| 11 | How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generationbreakdown → | 2016 | 588 |
| 12 | Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning | 2013 | 20 |
| 13 | 2012 | 2 | |
| 14 | 2012 | 17 |
About Laurent Charlin
Laurent Charlin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Building and Construction, having authored 14 papers that have together received 901 indexed citations. Recurring topics across this work include Traffic control and management (3 papers), Topic Modeling (3 papers), Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Machine Learning and Algorithms (2 papers), Traffic Prediction and Management Techniques (2 papers), Natural Language Processing Techniques (2 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Artificial Intelligence (775 citations), Computer Vision and Pattern Recognition (231 citations) and Transportation (22 citations). Laurent Charlin has collaborated with scholars based in Canada, Italy and United States. Frequent co-authors include Joëlle Pineau, Ryan Lowe, Iulian Vlad Serban, Chia‐Wei Liu, M. Caccia, Denis Larocque, Min Lin, Eugene Belilovsky, Tinne Tuytelaars and Rahaf Aljundi. Their work appears in journals such as Energy and Buildings, IEEE Transactions on Intelligent Transportation Systems and IEEE Open Journal of Intelligent Transportation Systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.