Abhiroop Bhattacharjee — accepted AI-conference papers

2024

Are SNNs Truly Energy-efficient? - A Hardware Perspective

Abhiroop Bhattacharjee, Ruokai Yin, Abhishek Moitra, Priyadarshini Panda

ICASSP 2024accepted

Spiking Neural Networks (SNNs) have gained attention for their energy-efficient machine learning capabilities, utilizing bio-inspired activation functions and sparse binary spike-data representations. While recent SNN algorithmic advances achieve high accuracy on large-scale computer vision tasks, t…

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2022

Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks?

Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda

ICASSP 2022accepted

Recent Spiking Neural Networks (SNNs) works focus on an image classification task, therefore various coding techniques have been proposed to convert an image into temporal binary spikes. Among them, rate coding and direct coding are regarded as prospective candidates for building a practical SNN sys…

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