David Eisenstat
About
David Eisenstat has authored 13 papers that have received a total of 229 indexed citations.
This includes 6 papers in Computational Theory and Mathematics, 5 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. The topics of these papers are Stochastic processes and statistical mechanics (4 papers), Distributed systems and fault tolerance (3 papers) and Machine Learning and Algorithms (3 papers). David Eisenstat is often cited by papers focused on Stochastic processes and statistical mechanics (4 papers), Distributed systems and fault tolerance (3 papers) and Machine Learning and Algorithms (3 papers) and collaborates with scholars based in United States, Canada and Russia. David Eisenstat's co-authors include Dana Angluin, James Aspnes, Fredrik Sävje, Gary Gordon and Amanda Redlich and has published in prestigious journals such as Journal of Machine Learning Research, Proceedings of the VLDB Endowment and Discrete Mathematics.
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