Abhimanu Kumar
About
Abhimanu Kumar has authored 12 papers that have received a total of 427 indexed citations.
This includes 11 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. The topics of these papers are Stochastic Gradient Optimization Techniques (4 papers), Topic Modeling (3 papers) and Advanced Graph Neural Networks (3 papers). Abhimanu Kumar is often cited by papers focused on Stochastic Gradient Optimization Techniques (4 papers), Topic Modeling (3 papers) and Advanced Graph Neural Networks (3 papers) and collaborates with scholars based in United States, Singapore and China. Abhimanu Kumar's co-authors include Eric P. Xing, Qirong Ho, Pengtao Xie, Jinliang Wei and Yaoliang Yu and has published in prestigious journals such as Experimental Mechanics, The International Review of Research in Open and Distributed Learning and IEEE Transactions on Big Data.
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