Ludwig Schmidt

31 papers and 1.7k indexed citations i.

Ludwig Schmidt has authored 31 papers that have received a total of 1.7k indexed citations. This includes 20 papers in Artificial Intelligence, 9 papers in Computational Mechanics and 8 papers in Computer Vision and Pattern Recognition. The topics of these papers are Sparse and Compressive Sensing Techniques (8 papers), Machine Learning and Algorithms (8 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Ludwig Schmidt is often cited by papers focused on Sparse and Compressive Sensing Techniques (8 papers), Machine Learning and Algorithms (8 papers) and Domain Adaptation and Few-Shot Learning (7 papers) and collaborates with scholars based in United States, The Netherlands and Germany. Ludwig Schmidt's co-authors include Piotr Indyk, Chinmay Hegde, Vaishaal Shankar, Aleksander Mądry and Rebecca Roelofs and has published in prestigious journals such as IEEE Transactions on Information Theory and IEEE Signal Processing Magazine