Stefanie Jegelka
About
Stefanie Jegelka has authored 60 papers that have received a total of 1.9k indexed citations.
This includes 36 papers in Artificial Intelligence, 16 papers in Computational Theory and Mathematics and 15 papers in Computer Vision and Pattern Recognition. The topics of these papers are Combinatorial Optimization and Complexity Theory (13 papers), Machine Learning and Algorithms (12 papers) and Domain Adaptation and Few-Shot Learning (10 papers). Stefanie Jegelka is often cited by papers focused on Combinatorial Optimization and Complexity Theory (13 papers), Machine Learning and Algorithms (12 papers) and Domain Adaptation and Few-Shot Learning (10 papers) and collaborates with scholars based in United States, Germany and Switzerland. Stefanie Jegelka's co-authors include Jeff Bilmes, Ken‐ichi Kawarabayashi, Hyun Oh Song, Suvrit Sra and Keyulu Xu and has published in prestigious journals such as Nature Communications, Bioinformatics and IEEE Transactions on Information Theory
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