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Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale
  Device Stochasticity

Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity

International Symposium on Circuits and Systems (ISCAS), 2023
2 February 2023
Prabodh Katti
N. Skatchkovsky
Osvaldo Simeone
Bipin Rajendran
Bashir M. Al-Hashimi
ArXiv (abs)PDFHTMLGithub

Papers citing "Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity"

3 / 3 papers shown
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via
  Ensembles of Spiking Neural Networks
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural NetworksEntropy (Entropy), 2023
Jiechen Chen
Sangwoo Park
Osvaldo Simeone
332
4
0
25 Oct 2023
Towards Efficient and Reliable AI Through Neuromorphic Principles
Towards Efficient and Reliable AI Through Neuromorphic Principles
Yongchao Chen
Osvaldo Simeone
Bashir M. Al-Hashimi
357
5
0
27 Sep 2023
Spatial-SpinDrop: Spatial Dropout-based Binary Bayesian Neural Network
  with Spintronics Implementation
Spatial-SpinDrop: Spatial Dropout-based Binary Bayesian Neural Network with Spintronics ImplementationIEEE transactions on nanotechnology (IEEE Trans. Nanotechnol.), 2023
Soyed Tuhin Ahmed
K. Danouchi
Michael Hefenbrock
G. Prenat
L. Anghel
M. Tahoori
206
10
0
16 Jun 2023
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