97 citations · 108 across the 5 of their papers we have counts for
5 papers
Are Guessing, Source Coding, and Tasks Partitioning Birds of a Feather?
M. Ashok Kumar, Albert Sunny, Ashish Thakre +2
This paper establishes a close relationship among the four information theoretic problems, namely Campbell source coding, Arikan guessing, Huleihel et al. memoryless guessing and B…
A Unified Framework for Problems on Guessing, Source Coding and Task Partitioning
M. Ashok Kumar, Albert Sunny, Ashish Thakre +1
We study four problems namely, Campbell's source coding problem, Arikan's guessing problem, Huieihel et al.'s memoryless guessing problem, and Bunte and Lapidoth's task partitionin…
Hardware-friendly Neural Network Architecture for Neuromorphic Computing
Roshan Gopalakrishnan, Yansong Chua, Ashish Jith Sreejith Kumar
The hardware-software co-optimization of neural network architectures is becoming a major stream of research especially due to the emergence of commercial neuromorphic chips such a…
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network
Aditya Kusupati, Manish Singh, Kush Bhatia +3
This paper develops the FastRNN and FastGRNN algorithms to address the twin RNN limitations of inaccurate training and inefficient prediction. Previous approaches have improved acc…
MaD: Mapping and debugging framework for implementing deep neural network onto a neuromorphic chip with crossbar array of synapses
Roshan Gopalakrishnan, Ashish Jith Sreejith Kumar, Yansong Chua
Neuromorphic systems or dedicated hardware for neuromorphic computing is getting popular with the advancement in research on different device materials for synapses, especially in…