P. Shukla

activity

20202026

most cited

M C^{2} R A M

: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference

5 citations · 6 across the 6 of their papers we have counts for

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2 papers · 1 filter

eess.SP2020

Low Power Unsupervised Anomaly Detection by Non-Parametric Modeling of Sensor Statistics

Ahish Shylendra, Priyesh Shukla, Saibal Mukhopadhyay +2

This work presents AEGIS, a novel mixed-signal framework for real-time anomaly detection by examining sensor stream statistics. AEGIS utilizes Kernel Density Estimation (KDE)-based…

eess.SP2020★ 5 cited

$M C^{2} R A M$ : Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference

Priyesh Shukla, Ahish Shylendra, Theja Tulabandhula +1

This work discusses the implementation of Markov Chain Monte Carlo (MCMC) sampling from an arbitrary Gaussian mixture model (GMM) within SRAM. We show a novel architecture of SRAM…

Low Power Unsupervised Anomaly Detection by Non-Parametric Modeling of Sensor Statistics

MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference

$M C^{2} R A M$ : Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference