David Berthelot

8 papers and 249 indexed citations i.

David Berthelot is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, David Berthelot has authored 8 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Hardware and Architecture. Recurrent topics in David Berthelot’s work include VLSI and Analog Circuit Testing (3 papers), Multimodal Machine Learning Applications (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). David Berthelot is often cited by papers focused on VLSI and Analog Circuit Testing (3 papers), Multimodal Machine Learning Applications (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). David Berthelot collaborates with scholars based in United States, France and Japan. David Berthelot's co-authors include Colin Raffel, А.В. Куракин, Nicholas Carlini, Ekin D. Cubuk, Kihyuk Sohn, Han Zhang, Daniel Hewlett, Illia Polosukhin, Llion Jones and Matthew Kelcey and has published in prestigious journals such as Journal of Electronic Testing, Reliable Computing and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).