Sanghamitra Dutta
About
Sanghamitra Dutta has authored 22 papers that have received a total of 650 indexed citations.
This includes 11 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 4 papers in Electrical and Electronic Engineering. The topics of these papers are Stochastic Gradient Optimization Techniques (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Advanced Memory and Neural Computing (3 papers). Sanghamitra Dutta is often cited by papers focused on Stochastic Gradient Optimization Techniques (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Advanced Memory and Neural Computing (3 papers) and collaborates with scholars based in United States, India and Hong Kong. Sanghamitra Dutta's co-authors include Pulkit Grover, Viveck R. Cadambe, Haewon Jeong, Praveen Venkatesh and Anupam Datta and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and Advanced Optical Materials
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