Rathinakumar Appuswamy
机构: Senior Research Scientist, IBM Almaden Research Center
主页: ibm.com
每年引用次数
引用次数
引用: 8,026
H-指数: 24
I10-指数 : 38
出版物: 92
Backpropagation for energy-efficient neuromorphic computing
Steve K Esser , Rathinakumar Appuswamy , Paul Merolla , John V Arthur
neural information processing systems 28 1117 -1125
988
2015
Scene understanding using a neurosynaptic system
Alexander Andreopoulos , Steven K. Esser , Rathinakumar Appuswamy , Dharmendra S. Modha
1
2016
Classifying features using a neurosynaptic system
Steven K. Esser , Rathinakumar Appuswamy , Dharmendra S. Dharmendra
3
2014
Structured Convolution Matrices for Energy-efficient Deep learning
Rathinakumar Appuswamy , Tapan Nayak , John Arthur , Steven Esser
arXiv: Neural and Evolutionary Computing
11
2016
Deep neural networks are robust to weight binarization and other non-linear distortions
Paul Merolla , Steven K. Esser , John V. Arthur , Rathinakumar Appuswamy
arXiv: Neural and Evolutionary Computing
134
2016
Transform architecture for multiple neurosynaptic core circuits
Myron D. Flickner , Rathinakumar Appuswamy , Dharmendra S. Modha
5
2013
Transform for a neurosynaptic core circuit
Myron D. Flickner , Rathinakumar Appuswamy , Dharmendra S. Modha
3
2013
Implementing a neural network algorithm on a neurosynaptic substrate based on metadata associated with the neural network algorithm
Myron D. Flickner , Paul A. Merolla , Arnon Amir , Rathinakumar Appuswamy
17
2015
Implementing a neural network algorithm on a neurosynaptic substrate based on criteria related to the neurosynaptic substrate
Paul Merolla , Arnon Amir , Rathinakumar Appuswamy , Dharmendra Shantilal Modha
17
2016
Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications
Jun Sawada , Filipp Akopyan , Andrew S Cassidy , Brian Taba
ieee international conference on high performance computing data and analytics 12
86
2016
Feature extraction using a neurosynaptic system for object classification
Steven K. Esser , Rathinakumar Appuswamy , Dharmendra S. Modha
21
2014
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference.
Jeffrey L McKinstry , Steven K Esser , Rathinakumar Appuswamy , Deepika Bablani
arXiv: Computer Vision and Pattern Recognition
81
2018
DEFECT RESISTANT DESIGNS FOR LOCATION-SENSITIVE NEURAL NETWORK PROCESSOR ARRAYS
Brian Taba , Myron D. Flickner , Hartmut Penner , Andrew S. Cassidy
1
2019
MASSIVELY PARALLEL NEURAL INFERENCE COMPUTING ELEMENTS
Brian Taba , Myron D. Flickner , Hartmut Penner , Andrew S. Cassidy
2020
LEARNED STEP SIZE QUANTIZATION
Jeffrey L. McKinstry , Steven K. Esser , Rathinakumar Appuswamy , Dharmendra S. Modha
international conference on learning representations
379
2020
NETWORKS FOR DISTRIBUTING PARAMETERS AND DATA TO NEURAL NETWORK COMPUTE CORES
Brian Taba , Myron D. Flickner , Hartmut Penner , Andrew S. Cassidy
2020
TrueNorth: Accelerating From Zero to 64 Million Neurons in 10 Years
Michael V DeBole , Brian Taba , Arnon Amir , Filipp Akopyan
IEEE Computer 52 ( 5) 20 -29
123
2019
QoS guarantee and provisioning for realtime digital video over mobile ad hoc cdma networks with cross-layer design
Qi Qu , Rathinakumar Appuswamy , Yee Chan
IEEE Wireless Communications 13 ( 5) 82 -88
6
2006
Network computing capacity for the reverse butterfly network
Rathinakumar Appuswamy , Massimo Franceschetti , Nikhil Karamchandani , Kenneth Zeger
international symposium on information theory 259 -262
18
2009
Linear coding for network computing
Rathinakumar Appuswamy , Massimo Franceschetti , Nikhil Karamchandani , Kenneth Zeger
international symposium on information theory 2652 -2655
1
2011