David Berthelot

8 papers and 245 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 245 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 Multimodal Machine Learning Applications (3 papers), VLSI and Analog Circuit Testing (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). David Berthelot is often cited by papers focused on Multimodal Machine Learning Applications (3 papers), VLSI and Analog Circuit Testing (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 Nicholas Carlini, А.В. Куракин, Colin Raffel, Marie-Lise Flottes and Kihyuk Sohn and has published in prestigious journals such as Journal of Electronic Testing and Reliable Computing.