Eric Blais
About
Eric Blais has authored 35 papers that have received a total of 375 indexed citations.
This includes 29 papers in Artificial Intelligence, 24 papers in Computational Theory and Mathematics and 6 papers in Computer Networks and Communications. The topics of these papers are Combinatorial Optimization and Complexity Theory (22 papers), Machine Learning and Algorithms (21 papers) and Cryptography and Data Security (6 papers). Eric Blais is often cited by papers focused on Combinatorial Optimization and Complexity Theory (22 papers), Machine Learning and Algorithms (21 papers) and Cryptography and Data Security (6 papers) and collaborates with scholars based in United States, Canada and Israel. Eric Blais's co-authors include Ryan O’Donnell, Joshua Brody, Yuichi Yoshida, Clément L. Canonne and Karl Wimmer and has published in prestigious journals such as Journal of the ACM, Machine Learning and SIAM Journal on Computing
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