VIBNN: Hardware Acceleration of Bayesian Neural Networks

VIBNN: Hardware Acceleration of Bayesian Neural Networks

2 February 2018

Caiwen Ding

Papers citing "VIBNN: Hardware Acceleration of Bayesian Neural Networks"

8 / 8 papers shown

Title
Analog Bayesian neural networks are insensitive to the shape of the weight distribution Ravi G. Patel T. Xiao S. Agarwal C. Bennett 36 0 0 09 Jan 2025
Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA Zehuan Zhang Hongxiang Fan Hao Chen Lukasz Dudziak Wayne Luk BDL 40 0 0 23 Jun 2024
Bayesian Inference Accelerator for Spiking Neural Networks Prabodh Katti Anagha Nimbekar Chen Li Amit Acharyya Bashir M. Al-Hashimi Bipin Rajendran TPM 15 2 0 27 Jan 2024
Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity Prabodh Katti N. Skatchkovsky Osvaldo Simeone Bipin Rajendran Bashir M. Al-Hashimi 17 4 0 02 Feb 2023
Bayesian Learning for Neural Networks: an algorithmic survey M. Magris Alexandros Iosifidis BDL DRL 35 68 0 21 Nov 2022
MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bayesian Edge Intelligence Priyesh Shukla Shamma Nasrin Nastaran Darabi Wilfred Gomes A. R. Trivedi 17 17 0 13 Nov 2021
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework Sung-En Chang Yanyu Li Mengshu Sun Runbin Shi Hayden Kwok-Hay So Xuehai Qian Yanzhi Wang Xue Lin MQ 18 82 0 08 Dec 2020
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 197 745 0 06 Jun 2015