Olivier Delalleau

11 papers and 771 indexed citations i.

Olivier Delalleau is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Olivier Delalleau has authored 11 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Olivier Delalleau’s work include Neural Networks and Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Olivier Delalleau is often cited by papers focused on Neural Networks and Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Olivier Delalleau collaborates with scholars based in Canada, United Kingdom and France. Olivier Delalleau's co-authors include Yoshua Bengio, Nicolas Le Roux, Pascal Vincent, Hugo Larochelle and Patrice Marcotte and has published in prestigious journals such as Neural Computation, Journal of Computer-Aided Molecular Design and Computational Intelligence.