Matt J. Kusner
About
Matt J. Kusner has authored 24 papers that have received a total of 1.4k indexed citations.
This includes 17 papers in Artificial Intelligence, 6 papers in Materials Chemistry and 5 papers in Computational Theory and Mathematics. The topics of these papers are Machine Learning in Materials Science (6 papers), Machine Learning and Data Classification (5 papers) and Computational Drug Discovery Methods (4 papers). Matt J. Kusner is often cited by papers focused on Machine Learning in Materials Science (6 papers), Machine Learning and Data Classification (5 papers) and Computational Drug Discovery Methods (4 papers) and collaborates with scholars based in United States, United Kingdom and Germany. Matt J. Kusner's co-authors include Kilian Q. Weinberger, Zhixiang Xu, Joshua R. Loftus, José Miguel Hernández-Lobato and Brooks Paige and has published in prestigious journals such as Nature, Journal of Machine Learning Research and Nuclear Fusion
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