Pascal Germain
Impact in
- Artificial Intelligence top 0.2%
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
- Anomaly Detection Techniques and Applications
- Machine Learning and ELM
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
Papers in
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- Machine Learning and Algorithms 10
- Domain Adaptation and Few-Shot Learning 8
- Machine Learning and Data Classification 6
- Imbalanced Data Classification Techniques 4
- Gaussian Processes and Bayesian Inference 4
- Adversarial Robustness in Machine Learning 3
- Neural Networks and Applications 3
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- Face and Expression Recognition 5
- Co-authors
- François Laviolette (10 shared papers)Mario Marchand (9 shared papers)Hugo Larochelle (2 shared papers)Yaroslav Ganin (2 shared papers)Victor Lempitsky (2 shared papers)Evgeniya Ustinova (2 shared papers)Christian Ronse (1 shared paper)J. Baruthio (1 shared paper)
- Journals
- Neurocomputing (2 papers)Separation and Purification Technology (1 paper)Computerized Medical Imaging and Graphics (1 paper)Machine Learning (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- CanadaFranceUnited States
In The Last Decade
Pascal Germain
25 papers receiving 5.5k citations
Pascal Germain's Hit Papers
Peers
Comparison fields: 5 of 177
- Artificial Intelligence 3.6k
- Computer Vision and Pattern Recognition 2.0k
- Signal Processing 353
- Control and Systems Engineering 703
- Radiology, Nuclear Medicine and Imaging 484
Countries citing papers authored by Pascal Germain
This map shows the geographic impact of Pascal Germain'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 Pascal Germain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Germain more than expected).
Fields of papers citing papers by Pascal Germain
This network shows the impact of papers produced by Pascal Germain. 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 Pascal Germain. The network helps show where Pascal Germain may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Germain, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Domain-Adversarial Training of Neural Networks Hit paper breakdown → | 2017 | 5294 |
| 2 | 2009 | 90 | |
| 3 | 2015 | 49 | |
| 4 | 2015 | 46 | |
| 5 | 2010 | 45 | |
| 6 | 2007 | 33 | |
| 7 | 2006 | 14 | |
| 8 | 2019 | 10 | |
| 9 | {PAC-Bayesian Theory for Transductive Learning} | 2014 | 9 |
| 10 | 2017 | 9 | |
| 11 | A PAC-Bayes Sample-compression Approach to Kernel Methods | 2011 | 8 |
| 12 | 2024 | 7 | |
| 13 | From PAC-Bayes Bounds to KL Regularization | 2009 | 7 |
| 14 | 2007 | 6 | |
| 15 | 2018 | 5 | |
| 16 | 2020 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2023 | 1 |
About Pascal Germain
Pascal Germain is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Molecular Biology and Statistics and Probability, having authored 27 papers that have together received 5.6k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (10 papers), Domain Adaptation and Few-Shot Learning (8 papers), Machine Learning and Data Classification (6 papers), Face and Expression Recognition (5 papers), Imbalanced Data Classification Techniques (4 papers), Gaussian Processes and Bayesian Inference (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (3.6k citations), Computer Vision and Pattern Recognition (2.0k citations), Signal Processing (353 citations), Control and Systems Engineering (703 citations) and Radiology, Nuclear Medicine and Imaging (484 citations). Pascal Germain has collaborated with scholars based in Canada, France and United States. Frequent co-authors include François Laviolette, Mario Marchand, Hugo Larochelle, Yaroslav Ganin, Victor Lempitsky, Evgeniya Ustinova, Christian Ronse, J. Baruthio, Nicolas Passat and Nicolas Usunier. Their work appears in journals such as Neurocomputing, Separation and Purification Technology, Computerized Medical Imaging and Graphics, Machine Learning and Analytical Chemistry.
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.