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"

7 / 7 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 78 0 0 23 Apr 2025
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis Junyi Guan Abhijith Sharma Chong Tian Salem Lahlou AAML 49 1 0 18 Feb 2025
Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression Tao Sun Sander M. Bohté UQCV BDL 96 0 0 29 Nov 2024
Knowing When to Stop: Delay-Adaptive Spiking Neural Network Classifiers with Reliability Guarantees Jiechen Chen Sangwoo Park Osvaldo Simeone 29 7 0 18 May 2023
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi G. Srinivasan Priyadarshini Panda Kaushik Roy 124 294 0 04 May 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015