Danijar Hafner

55 total papers · 3.3k total citations
13 papers, 169 citations indexed

Danijar Hafner is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Danijar Hafner has authored 13 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Theory and Mathematics. Recurrent topics in Danijar Hafner’s work include Adversarial Robustness in Machine Learning (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Multimodal Machine Learning Applications (2 papers). Danijar Hafner is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Multimodal Machine Learning Applications (2 papers). Danijar Hafner collaborates with scholars based in United States, Germany and United Kingdom. Danijar Hafner's co-authors include Timothy Lillicrap, James Davidson, Thomas Parr, Casper Hesp, Karl Friston, Lancelot Da Costa, Honglak Lee, Ruben Villegas, Ian Fischer and David Ha and has published in prestigious journals such as Nature, Neural Computation and AI Communications.