Mathias Lechner

23 papers and 289 indexed citations i.

Mathias Lechner is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Mathias Lechner has authored 23 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 9 papers in Statistical and Nonlinear Physics and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Mathias Lechner’s work include Model Reduction and Neural Networks (9 papers), Adversarial Robustness in Machine Learning (8 papers) and Neural Networks and Applications (8 papers). Mathias Lechner is often cited by papers focused on Model Reduction and Neural Networks (9 papers), Adversarial Robustness in Machine Learning (8 papers) and Neural Networks and Applications (8 papers). Mathias Lechner collaborates with scholars based in Austria, United States and Poland. Mathias Lechner's co-authors include Ramin Hasani, Radu Grosu, Daniela Rus, Thomas A. Henzinger and Alexander Amini and has published in prestigious journals such as Science Robotics, Computer Graphics Forum and IEEE Robotics and Automation Letters.