Jost Tobias Springenberg
About
Jost Tobias Springenberg has authored 30 papers that have received a total of 4.4k indexed citations.
This includes 24 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 4 papers in Computational Theory and Mathematics. The topics of these papers are Reinforcement Learning in Robotics (10 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Advanced Neural Network Applications (6 papers). Jost Tobias Springenberg is often cited by papers focused on Reinforcement Learning in Robotics (10 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Advanced Neural Network Applications (6 papers) and collaborates with scholars based in Germany, United States and United Kingdom. Jost Tobias Springenberg's co-authors include Martin Riedmiller, Frank Hutter, Nicolas Heess, Alexey Dosovitskiy and Thomas Brox and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Human Brain Mapping and KI - Künstliche Intelligenz.
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