Rohit Shukla
Cited by
Cited by
Low latency hybrid CORDIC algorithm
R Shukla, KC Ray
IEEE Transactions on Computers 63 (12), 3066-3078, 2013
Evaluating hopfield-network-based linear solvers for hardware constrained neural substrates
R Shukla, E Jorgensen, M Lipasti
2017 International Joint Conference on Neural Networks (IJCNN), 3938-3945, 2017
Effect of subliminal lexical priming on the subjective perception of images: A machine learning approach
DM Mohan, P Kumar, F Mahmood, KF Wong, A Agrawal, M Elgendi, ...
PLoS one 11 (2), e0148332, 2016
From auditory and visual to immersive neurofeedback: application to diagnosis of Alzheimer’s disease
M Elgendi, J Dauwels, B Rebsamen, R Shukla, Y Putra, J Gamez, ...
Neural Computation, Neural Devices, and Neural Prosthesis, 63-97, 2014
Computing generalized matrix inverse on spiking neural substrate
R Shukla, S Khoram, E Jorgensen, J Li, M Lipasti, S Wright
Frontiers in neuroscience 12, 115, 2018
REMODEL: Rethinking deep CNN models to detect and count on a NeuroSynaptic system
R Shukla, M Lipasti, B Van Essen, A Moody, N Maruyama
Frontiers in neuroscience 13, 4, 2019
A self-learning map-seeking circuit for visual object recognition
R Shukla, M Lipasti
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
BitSAD v2: Compiler Optimization and Analysis for Bitstream Computing
K Daruwalla, H Zhuo, R Shukla, M Lipasti
ACM Transactions on Architecture and Code Optimization (TACO) 16 (4), 1-25, 2019
On the effect of subliminal priming on subjective perception of images: A machine learning approach
P Kumar, F Mahmood, DM Mohan, K Wong, A Agrawal, M Elgendi, ...
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
Exploring CPU-GPU Coherence
G Subramanian, U Thakker, S Haria, R Shukla, H Lin
CORDIC-based VLSI architecture for implementing Log Polar Transformation for real time applications
KC Ray, R Shukla, AS Dhar
2010 Second International conference on Computing, Communication and …, 2010
Addressing the algorithmic gap in low-precision neural network substrates
R Shukla
The University of Wisconsin-Madison, 2018
Inferring subliminal primes from EEG through machine learning
P Kumar, F Mahmood, K Wong, A Agrawal, M Elgendi, S Kannan, ...
Implementing Stochastic Hopfield-Network-based Linear Solvers on a Hardware-Constrained Neural Substrate
E Jorgensen, R Shukla, M Lipasti
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