Philip Haeusser

3 papers and 249 indexed citations i.

Philip Haeusser is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Philip Haeusser has authored 3 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Materials Chemistry. Recurrent topics in Philip Haeusser’s work include Domain Adaptation and Few-Shot Learning (2 papers), Advanced Neural Network Applications (1 paper) and Mechanical and Optical Resonators (1 paper). Philip Haeusser is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Advanced Neural Network Applications (1 paper) and Mechanical and Optical Resonators (1 paper). Philip Haeusser collaborates with scholars based in United States, Taiwan and Germany. Philip Haeusser's co-authors include Alexander Mordvintsev, Daniel Cremers, Huan‐Cheng Chang, Thomas Hümmer, Helmut Fedder, David Hunger and Theodor W. Hänsch and has published in prestigious journals such as Physical Review Applied and arXiv (Cornell University).