Hippolyt Ritter

5 papers and 82 indexed citations i.

Hippolyt Ritter is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Materials Chemistry. According to data from OpenAlex, Hippolyt Ritter has authored 5 papers receiving a total of 82 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Statistical and Nonlinear Physics and 1 paper in Materials Chemistry. Recurrent topics in Hippolyt Ritter’s work include Domain Adaptation and Few-Shot Learning (2 papers), Neural Networks and Applications (2 papers) and Model Reduction and Neural Networks (2 papers). Hippolyt Ritter is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Neural Networks and Applications (2 papers) and Model Reduction and Neural Networks (2 papers). Hippolyt Ritter collaborates with scholars based in United Kingdom, United States and Switzerland. Hippolyt Ritter's co-authors include Aleksandar Botev, David Barber, Louis Kirsch, Zhen Xiang, Hang Wang, David J. Miller, Ousmane Dia, Jiahui Chen and George Kesidis and has published in prestigious journals such as Entropy, Neural Information Processing Systems and International Conference on Machine Learning.