Xavier Muller

4 papers and 714 indexed citations i.

Xavier Muller is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Xavier Muller has authored 4 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Computational Theory and Mathematics. Recurrent topics in Xavier Muller’s work include Neural Networks and Applications (2 papers), Generative Adversarial Networks and Image Synthesis (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Xavier Muller is often cited by papers focused on Neural Networks and Applications (2 papers), Generative Adversarial Networks and Image Synthesis (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Xavier Muller collaborates with scholars based in Canada and United States. Xavier Muller's co-authors include Yoshua Bengio, Pascal Vincent, Salah Rifai, Xavier Glorot, Yann Dauphin, H. Bürkhardt, Ian Goodfellow, Guillaume Desjardins, Aaron Courville and Grégoire Mesnil and has published in prestigious journals such as IEEE Transactions on Acoustics Speech and Signal Processing, Neural Information Processing Systems and International Conference on Machine Learning.