Rajiv Khanna

15 papers and 342 indexed citations i.

Rajiv Khanna has authored 15 papers that have received a total of 342 indexed citations. This includes 11 papers in Artificial Intelligence, 5 papers in Computational Mechanics and 4 papers in Computer Vision and Pattern Recognition. The topics of these papers are Domain Adaptation and Few-Shot Learning (5 papers), Sparse and Compressive Sensing Techniques (5 papers) and Machine Learning and Algorithms (4 papers). Rajiv Khanna is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Sparse and Compressive Sensing Techniques (5 papers) and Machine Learning and Algorithms (4 papers) and collaborates with scholars based in United States, Germany and India. Rajiv Khanna's co-authors include Joydeep Ghosh, Sahand Negahban, Alexandros G. Dimakis, Ethan R. Elenberg and Oluwasanmi Koyejo and has published in prestigious journals such as The Annals of Statistics