Alexander Neitz

3 papers and 12 indexed citations i.

Alexander Neitz is a scholar working on Artificial Intelligence, Signal Processing and Statistical and Nonlinear Physics. According to data from OpenAlex, Alexander Neitz has authored 3 papers receiving a total of 12 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Signal Processing and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Alexander Neitz’s work include Time Series Analysis and Forecasting (2 papers), Neural Networks and Applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Alexander Neitz is often cited by papers focused on Time Series Analysis and Forecasting (2 papers), Neural Networks and Applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Alexander Neitz collaborates with scholars based in Germany and Switzerland. Alexander Neitz's co-authors include Giambattista Parascandolo, Bernhard Schölkopf and Stefan Bauer and has published in prestigious journals such as Neural Information Processing Systems and International Conference on Learning Representations.