Daniel M. Kane
About
Daniel M. Kane has authored 93 papers that have received a total of 871 indexed citations.
This includes 60 papers in Artificial Intelligence, 35 papers in Computational Theory and Mathematics and 16 papers in Algebra and Number Theory. The topics of these papers are Machine Learning and Algorithms (41 papers), Combinatorial Optimization and Complexity Theory (25 papers) and Analytic Number Theory Research (14 papers). Daniel M. Kane is often cited by papers focused on Machine Learning and Algorithms (41 papers), Combinatorial Optimization and Complexity Theory (25 papers) and Analytic Number Theory Research (14 papers) and collaborates with scholars based in United States, United Kingdom and Canada. Daniel M. Kane's co-authors include Ilias Diakonikolas, Alistair Stewart, Jelani Nelson, Jerry Li and Shachar Lovett and has published in prestigious journals such as Journal of Fluid Mechanics, IEEE Transactions on Information Theory and Communications of the ACM
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