A Principled Bayesian Framework for Training Binary and Spiking Neural Networks

23 May 2025

Papers citing "A Principled Bayesian Framework for Training Binary and Spiking Neural Networks"

20 / 20 papers shown

Title
Elucidating the theoretical underpinnings of surrogate gradient learning in spiking neural networks Julia Gygax Friedemann Zenke 91 4 0 23 Apr 2024
Automatic Differentiation of Programs with Discrete Randomness Gaurav Arya Moritz Schauer Frank Schafer Chris Rackauckas 80 37 0 16 Oct 2022
Bias-Variance Tradeoffs in Single-Sample Binary Gradient Estimators Alexander Shekhovtsov MQ 72 5 0 07 Oct 2021
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator Max B. Paulus Chris J. Maddison Andreas Krause BDL 94 42 0 09 Oct 2020
Event-Based Backpropagation can compute Exact Gradients for Spiking Neural Networks Timo C. Wunderlich Christian Pehle 86 121 0 17 Sep 2020
Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks Alexander Shekhovtsov Dmitry Molchanov MQ 63 16 0 11 Jun 2020
Training Binary Neural Networks using the Bayesian Learning Rule Xiangming Meng Roman Bachmann Mohammad Emtiyaz Khan BDL MQ 84 42 0 25 Feb 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 562 10,591 0 17 Feb 2020
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets Penghang Yin J. Lyu Shuai Zhang Stanley Osher Y. Qi Jack Xin MQ LLMSV 149 319 0 13 Mar 2019
Surrogate Gradient Learning in Spiking Neural Networks Emre Neftci Hesham Mostafa Friedemann Zenke 106 1,244 0 28 Jan 2019
Variational Dropout via Empirical Bayes V. Kharitonov Dmitry Molchanov Dmitry Vetrov BDL 55 9 0 01 Nov 2018
Probabilistic Binary Neural Networks Jorn W. T. Peters Max Welling BDL UQCV MQ 77 52 0 10 Sep 2018
Deep Learning in Spiking Neural Networks A. Tavanaei M. Ghodrati Saeed Reza Kheradpisheh T. Masquelier Anthony Maida 98 1,080 0 22 Apr 2018
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 367 5,390 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 207 2,541 0 02 Nov 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 181 4,369 0 16 Mar 2016
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 231 1,519 0 08 Jun 2015
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 196 1,894 0 20 May 2015
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.1K 23,414 0 03 Jun 2014
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 406 3,158 0 15 Aug 2013