Löıc Matthey
Impact in
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- Generative Adversarial Networks and Image Synthesis
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
- Anomaly Detection Techniques and Applications
- Adversarial Robustness in Machine Learning
Papers in
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- Domain Adaptation and Few-Shot Learning 4
- Machine Learning and Data Classification 2
- Adversarial Robustness in Machine Learning 1
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- Generative Adversarial Networks and Image Synthesis 2
- Co-authors
- Alexander Lerchner (8 shared papers)Christopher Burgess (5 shared papers)Irina Higgins (5 shared papers)Matthew Botvinick (4 shared papers)Arka Pal (2 shared papers)Shakir Mohamed (1 shared paper)Xavier Glorot (1 shared paper)Alcherio Martinoli (2 shared papers)
- Journals
- PLoS Computational Biology (1 paper)UCL Discovery (University College London) (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (2 papers)Neural Information Processing Systems (1 paper)International Conference on Learning Representations (2 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Löıc Matthey
11 papers receiving 1.3k citations
Löıc Matthey's Hit Papers
Peers
Comparison fields: 5 of 117
- Computer Vision and Pattern Recognition 621
- Artificial Intelligence 712
- Signal Processing 146
- Computer Graphics and Computer-Aided Design 26
- Cognitive Neuroscience 107
Countries citing papers authored by Löıc Matthey
This map shows the geographic impact of Löıc Matthey'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 Löıc Matthey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Löıc Matthey more than expected).
Fields of papers citing papers by Löıc Matthey
This network shows the impact of papers produced by Löıc Matthey. 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 Löıc Matthey. The network helps show where Löıc Matthey may publish in the future.
Co-authors
The 25 scholars most cited alongside Löıc Matthey, 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 | beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework Hit paper breakdown → | 2017 | 1219 |
| 2 | 2008 | 53 | |
| 3 | 2015 | 38 | |
| 4 | Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies | 2018 | 18 |
| 5 | SCAN: Learning Hierarchical Compositional Visual Concepts | 2018 | 17 |
| 6 | Multi-Object Representation Learning with Iterative Variational Inference | 2019 | 13 |
| 7 | 2010 | 8 | |
| 8 | 2024 | 6 | |
| 9 | Unsupervised Model Selection for Variational Disentangled Representation Learning | 2020 | 5 |
| 10 | 2021 | 4 | |
| 11 | A Heuristic for Unsupervised Model Selection for Variational Disentangled Representation Learning. | 2019 | 1 |
| 12 | 2023 | 0 |
About Löıc Matthey
Löıc Matthey is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Biomedical Engineering and Computer Networks and Communications, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (4 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Machine Learning and Data Classification (2 papers), Insect Pheromone Research and Control (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Adversarial Robustness in Machine Learning (1 paper), Language and cultural evolution (1 paper) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (621 citations), Artificial Intelligence (712 citations), Signal Processing (146 citations), Computer Graphics and Computer-Aided Design (26 citations) and Cognitive Neuroscience (107 citations). Löıc Matthey has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Alexander Lerchner, Christopher Burgess, Irina Higgins, Matthew Botvinick, Arka Pal, Shakir Mohamed, Xavier Glorot, Alcherio Martinoli, Peter Dayan and Paul M. Bays. Their work appears in journals such as PLoS Computational Biology, UCL Discovery (University College London), Infoscience (Ecole Polytechnique Fédérale de Lausanne), Neural Information Processing Systems and International Conference on Learning Representations.
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.