Xavier Glorot
Impact in
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- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Artificial Intelligence top 0.1%
- Topic Modeling
- Domain Adaptation and Few-Shot Learning
- Advanced Graph Neural Networks
- Anomaly Detection Techniques and Applications
- Neural Networks and Applications
- Natural Language Processing Techniques
Papers in
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- Domain Adaptation and Few-Shot Learning 2
- Neural Networks and Applications 2
- Natural Language Processing Techniques 2
- Machine Learning and Data Classification 2
- Topic Modeling 2
- Gaussian Processes and Bayesian Inference 1
- Advanced Graph Neural Networks 1
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- Generative Adversarial Networks and Image Synthesis 4
- Co-authors
- Yoshua BengioIrina HigginsChristopher BurgessArka PalShakir MohamedAlexander LerchnerLöıc MattheyMatthew Botvinick
- Journals
- Journal of Machine Learning Research (1 paper)Machine Learning (1 paper)International Conference on Machine Learning (3 papers)International Conference on Learning Representations (1 paper)
- Partner nations
- CanadaFranceUnited States
In The Last Decade
Xavier Glorot
7 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Computer Vision and Pattern Recognition 3.9k
- Artificial Intelligence 4.7k
- Signal Processing 987
- Media Technology 577
- Computational Mathematics 29
Countries citing papers authored by Xavier Glorot
This map shows the geographic impact of Xavier Glorot'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 Xavier Glorot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xavier Glorot more than expected).
Fields of papers citing papers by Xavier Glorot
This network shows the impact of papers produced by Xavier Glorot. 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 Xavier Glorot. The network helps show where Xavier Glorot may publish in the future.
Co-authors
The 25 scholars most cited alongside Xavier Glorot, 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 | 1198 |
| 2 | A semantic matching energy function for learning with multi-relational data Hit paper breakdown → | 2013 | 416 |
| 3 | Contractive Auto-Encoders: Explicit Invariance During Feature Extraction Hit paper breakdown → | 2011 | 675 |
| 4 | Large-Scale Learning of Embeddings with Reconstruction Sampling | 2011 | 18 |
| 5 | Unsupervised and Transfer Learning Challenge: a Deep Learning Approach | 2011 | 90 |
| 6 | Deep Learners Benefit More from Out-of-Distribution Examples | 2011 | 52 |
| 7 | Understanding the difficulty of training deep feedforward neural networks Hit paper breakdown → | 2010 | 7836 |
About Xavier Glorot
Xavier Glorot is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 10.3k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (4 papers), Domain Adaptation and Few-Shot Learning (2 papers), Neural Networks and Applications (2 papers), Natural Language Processing Techniques (2 papers), Machine Learning and Data Classification (2 papers), Topic Modeling (2 papers), Gaussian Processes and Bayesian Inference (1 paper) and Advanced Graph Neural Networks (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (3.9k citations), Artificial Intelligence (4.7k citations), Signal Processing (987 citations), Media Technology (577 citations) and Computational Mathematics (29 citations). Xavier Glorot has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Yoshua Bengio, Irina Higgins, Christopher Burgess, Arka Pal, Shakir Mohamed, Alexander Lerchner, Löıc Matthey, Matthew Botvinick, Xavier Muller and Salah Rifai. Their work appears in journals such as Journal of Machine Learning Research, Machine Learning, International Conference on Machine Learning 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.