Xavier Glorot
About
Xavier Glorot has authored 8 papers that have received a total of 8.2k indexed citations.
This includes 8 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. The topics of these papers are Neural Networks and Applications (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Xavier Glorot is often cited by papers focused on Neural Networks and Applications (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers) and collaborates with scholars based in Canada, United States and France. Xavier Glorot's co-authors include Yoshua Bengio, Yann Dauphin, Xavier Muller, Salah Rifai and Antoine Bordes and has published in prestigious journals such as Machine Learning and Journal of Machine Learning Research
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