Christopher De
About
Christopher De has authored 35 papers that have received a total of 575 indexed citations.
This includes 21 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 9 papers in Computer Vision and Pattern Recognition. The topics of these papers are Parallel Computing and Optimization Techniques (7 papers), Advanced Neural Network Applications (7 papers) and Stochastic Gradient Optimization Techniques (6 papers). Christopher De is often cited by papers focused on Parallel Computing and Optimization Techniques (7 papers), Advanced Neural Network Applications (7 papers) and Stochastic Gradient Optimization Techniques (6 papers) and collaborates with scholars based in United States, China and Israel. Christopher De's co-authors include Christopher Ré, Kunle Olukotun, Sen Wu, Alex Ratner and Jaeho Shin and has published in prestigious journals such as Communications of the ACM, Science Robotics and Proceedings of the VLDB Endowment
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