Rishabh Iyer

39 papers and 585 indexed citations i.

Rishabh Iyer has authored 39 papers that have received a total of 585 indexed citations. This includes 33 papers in Artificial Intelligence, 12 papers in Computational Theory and Mathematics and 8 papers in Computer Vision and Pattern Recognition. The topics of these papers are Machine Learning and Algorithms (12 papers), Combinatorial Optimization and Complexity Theory (11 papers) and Machine Learning and Data Classification (7 papers). Rishabh Iyer is often cited by papers focused on Machine Learning and Algorithms (12 papers), Combinatorial Optimization and Complexity Theory (11 papers) and Machine Learning and Data Classification (7 papers) and collaborates with scholars based in United States, India and Finland. Rishabh Iyer's co-authors include Jeff Bilmes, Ganesh Ramakrishnan, Kai Wei, Mari Ostendorf and Stefanie Jegelka and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Signal Processing Letters and Computer Speech & Language