Dhireesha Kudithipudi
Cited by
Cited by
Design and analysis of a neuromemristive reservoir computing architecture for biosignal processing
D Kudithipudi, Q Saleh, C Merkel, J Thesing, B Wysocki
Frontiers in neuroscience 9, 502, 2016
Deep positron: A deep neural network using the posit number system
Z Carmichael, HF Langroudi, C Khazanov, J Lillie, JL Gustafson, ...
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2019
Memristor-based neural logic blocks for nonlinearly separable functions
M Soltiz, D Kudithipudi, C Merkel, GS Rose, RE Pino
IEEE Transactions on computers 62 (8), 1597-1606, 2013
GALEOR: Leakage reduction for CMOS circuits
S Katrue, D Kudithipudi
2008 15th IEEE International Conference on Electronics, Circuits and Systems …, 2008
HTM spatial pooler with memristor crossbar circuits for sparse biometric recognition
AP James, I Fedorova, T Ibrayev, D Kudithipudi
IEEE Transactions on Biomedical Circuits and Systems 11 (3), 640-651, 2017
Reconfigurable N-level memristor memory design
CE Merkel, N Nagpal, S Mandalapu, D Kudithipudi
The 2011 International Joint Conference on Neural Networks, 3042-3048, 2011
Deep learning inference on embedded devices: Fixed-point vs posit
SHF Langroudi, T Pandit, D Kudithipudi
2018 1st Workshop on Energy Efficient Machine Learning and Cognitive …, 2018
Performance-efficiency trade-off of low-precision numerical formats in deep neural networks
Z Carmichael, HF Langroudi, C Khazanov, J Lillie, JL Gustafson, ...
Proceedings of the conference for next generation arithmetic 2019, 1-9, 2019
A mathematical formalization of hierarchical temporal memory’s spatial pooler
J Mnatzaganian, E Fokoué, D Kudithipudi
Frontiers in Robotics and AI 3, 81, 2017
SIRNet: understanding social distancing measures with hybrid neural network model for COVID-19 infectious spread
N Soures, D Chambers, Z Carmichael, A Daram, DP Shah, K Clark, ...
arXiv preprint arXiv:2004.10376, 2020
Implementation of low power digital multipliers using 10 transistor adder blocks
D Kudithipudi, E John
Journal of Low Power Electronics 1 (3), 286-296, 2005
Neuromemristive systems: boosting efficiency through brain-inspired computing
C Merkel, R Hasan, N Soures, D Kudithipudi, T Taha, S Agarwal, ...
Computer 49 (10), 56-64, 2016
Memristive reservoir computing architecture for epileptic seizure detection
C Merkel, Q Saleh, C Donahue, D Kudithipudi
Procedia Computer Science 41, 249-254, 2014
Deep liquid state machines with neural plasticity for video activity recognition
N Soures, D Kudithipudi
Frontiers in neuroscience 13, 686, 2019
A design of HTM spatial pooler for face recognition using memristor-CMOS hybrid circuits
T Ibrayev, AP James, C Merkel, D Kudithipudi
2016 IEEE international symposium on circuits and systems (ISCAS), 1254-1257, 2016
Neuromorphic architecture for the hierarchical temporal memory
AM Zyarah, D Kudithipudi
IEEE Transactions on Emerging Topics in Computational Intelligence 3 (1), 4-14, 2019
On the statistical challenges of echo state networks and some potential remedies
Q Wu, E Fokoue, D Kudithipudi
arXiv preprint arXiv:1802.07369, 2018
A current-mode CMOS/memristor hybrid implementation of an extreme learning machine
C Merkel, D Kudithipudi
Proceedings of the 24th edition of the Great Lakes Symposium on VLSI, 241-242, 2014
Robustness of a memristor based liquid state machine
N Soures, L Hays, D Kudithipudi
2017 international joint conference on neural networks (ijcnn), 2414-2420, 2017
Ziksa: On-chip learning accelerator with memristor crossbars for multilevel neural networks
AM Zyarah, N Soures, L Hays, RB Jacobs-Gedrim, S Agarwal, ...
2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017
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