Efficient Uncertainty Estimation in Spiking Neural Networks via
MC-dropout

Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout

20 April 2023

Tao Sun

Papers citing "Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout"

4 / 4 papers shown

Title
A Deep Bayesian Convolutional Spiking Neural Network-based CAD system with Uncertainty Quantification for Medical Images Classification Mohaddeseh Chegini Ali Mahloojifar BDL UQCV 68 0 0 23 Apr 2025
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi G. Srinivasan Priyadarshini Panda Kaushik Roy 116 292 0 04 May 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015