Rathinakumar Appuswamy, Ph.D.

Affiliations: 
2011 Electrical Engineering (Communication Theory and Systems) University of California, San Diego, La Jolla, CA 
Area:
Electronics and Electrical Engineering, Information Science, Applied Mathematics
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"Rathinakumar Appuswamy"

Parents

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Kenneth Zeger grad student 2011 UCSD
 (Network coding for function computation.)
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Publications

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Modha DS, Akopyan F, Andreopoulos A, et al. (2023) Neural inference at the frontier of energy, space, and time. Science (New York, N.Y.). 382: 329-335
DeBole MV, Appuswamy R, Carlson PJ, et al. (2019) TrueNorth: Accelerating From Zero to 64 Million Neurons in 10 Years Computer. 52: 20-29
Esser SK, Merolla PA, Arthur JV, et al. (2016) Convolutional networks for fast, energy-efficient neuromorphic computing. Proceedings of the National Academy of Sciences of the United States of America
Andreopoulos A, Taba B, Cassidy AS, et al. (2015) Visual saliency on networks of neurosynaptic cores Ibm Journal of Research and Development. 59
Esser SK, Appuswamy R, Merolla PA, et al. (2015) Backpropagation for energy-efficient neuromorphic computing Advances in Neural Information Processing Systems. 2015: 1117-1125
Merolla PA, Arthur JV, Alvarez-Icaza R, et al. (2014) Artificial brains. A million spiking-neuron integrated circuit with a scalable communication network and interface. Science (New York, N.Y.). 345: 668-73
Appuswamy R, Franceschetti M. (2014) Computing linear functions by linear coding over networks Ieee Transactions On Information Theory. 60: 422-431
Appuswamy R, Franceschetti M, Karamchandani N, et al. (2013) Linear codes, target function classes, and network computing capacity Ieee Transactions On Information Theory. 59: 5741-5753
Esser SK, Andreopoulos A, Appuswamy R, et al. (2013) Cognitive computing systems: Algorithms and applications for networks of neurosynaptic cores Proceedings of the International Joint Conference On Neural Networks
Karamchandani N, Appuswamy R, Franceschetti M. (2011) Time and energy complexity of function computation over networks Ieee Transactions On Information Theory. 57: 7671-7684
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