Equilibrium Propagation: Bridging the Gap Between Energy-Based Models and Backpropagation

16 February 2016

Papers citing "Equilibrium Propagation: Bridging the Gap Between Energy-Based Models and Backpropagation"

49 / 99 papers shown

Title
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons Paul Haider B. Ellenberger Laura Kriener Jakob Jordan Walter Senn Mihai A. Petrovici 27 24 0 27 Oct 2021
An energy-based model for neuro-symbolic reasoning on knowledge graphs Dominik Dold J. Garrido AI4CE 30 8 0 04 Oct 2021
Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation Sangwoo Park Osvaldo Simeone 47 8 0 01 Oct 2021
Capturing the objects of vision with neural networks B. Peters N. Kriegeskorte OCL 33 56 0 07 Sep 2021
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft Winner-Take-All Networks Timoleon Moraitis Dmitry Toichkin Adrien Journé Yansong Chua Qinghai Guo AAML BDL 68 28 0 12 Jul 2021
Backprop-Free Reinforcement Learning with Active Neural Generative Coding Alexander Ororbia A. Mali 41 15 0 10 Jul 2021
Applications of the Free Energy Principle to Machine Learning and Neuroscience Beren Millidge DRL 22 7 0 30 Jun 2021
On the relationship between predictive coding and backpropagation Robert Rosenbaum 33 28 0 20 Jun 2021
Training Dynamical Binary Neural Networks with Equilibrium Propagation Jérémie Laydevant M. Ernoult D. Querlioz Julie Grollier 26 16 0 16 Mar 2021
Reverse Differentiation via Predictive Coding Tommaso Salvatori Yuhang Song Thomas Lukasiewicz Rafal Bogacz Zhenghua Xu PINN 30 26 0 08 Mar 2021
Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks Tommaso Salvatori Yuhang Song Thomas Lukasiewicz Rafal Bogacz Zhenghua Xu PINN 27 24 0 05 Mar 2021
The Yin-Yang dataset Laura Kriener Julian Goltz Mihai A. Petrovici 3DH 35 19 0 16 Feb 2021
Training Deep Architectures Without End-to-End Backpropagation: A Survey on the Provably Optimal Methods Shiyu Duan José C. Príncipe MQ 38 3 0 09 Jan 2021
Improved Contrastive Divergence Training of Energy Based Models Yilun Du Shuang Li J. Tenenbaum Igor Mordatch 41 139 0 02 Dec 2020
Energy-Based Models for Continual Learning Shuang Li Yilun Du Gido M. van de Ven Igor Mordatch 27 42 0 24 Nov 2020
Local plasticity rules can learn deep representations using self-supervised contrastive predictions Bernd Illing Jean-Paul Ventura G. Bellec W. Gerstner SSL DRL 59 69 0 16 Oct 2020
Why Layer-Wise Learning is Hard to Scale-up and a Possible Solution via Accelerated Downsampling Wenchi Ma Miao Yu Kaidong Li Guanghui Wang 14 5 0 15 Oct 2020
Tuning Convolutional Spiking Neural Network with Biologically-plausible Reward Propagation Tielin Zhang Shuncheng Jia Xiang Cheng Bo Xu 33 48 0 09 Oct 2020
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks Roman Pogodin P. Latham 24 34 0 12 Jun 2020
GAIT-prop: A biologically plausible learning rule derived from backpropagation of error Nasir Ahmad Marcel van Gerven L. Ambrogioni AAML 18 25 0 11 Jun 2020
Predictive Coding Approximates Backprop along Arbitrary Computation Graphs Beren Millidge Alexander Tschantz Christopher L. Buckley 30 118 0 07 Jun 2020
An Overview of Neural Network Compression James OÑeill AI4CE 45 98 0 05 Jun 2020
Equilibrium Propagation with Continual Weight Updates M. Ernoult Julie Grollier D. Querlioz Yoshua Bengio B. Scellier 6 38 0 29 Apr 2020
Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning Christopher Zach Huu Le 23 4 0 12 Mar 2020
Synaptic Metaplasticity in Binarized Neural Networks Axel Laborieux M. Ernoult T. Hirtzlin D. Querlioz CLL 26 62 0 07 Mar 2020
Two Routes to Scalable Credit Assignment without Weight Symmetry D. Kunin Aran Nayebi Javier Sagastuy-Breña Surya Ganguli Jonathan M. Bloom Daniel L. K. Yamins 34 32 0 28 Feb 2020
Contrastive Similarity Matching for Supervised Learning Shanshan Qin N. Mudur Cengiz Pehlevan SSL DRL 16 1 0 24 Feb 2020
Large-Scale Gradient-Free Deep Learning with Recursive Local Representation Alignment Alexander Ororbia A. Mali Daniel Kifer C. Lee Giles 20 2 0 10 Feb 2020
Ghost Units Yield Biologically Plausible Backprop in Deep Neural Networks Thomas Mesnard Gaetan Vignoud João Sacramento Walter Senn Yoshua Bengio 27 7 0 15 Nov 2019
Making Predictive Coding Networks Generative Jeff Orchard Wei Sun 9 1 0 26 Oct 2019
Spike-based causal inference for weight alignment Jordan Guerguiev Konrad Paul Kording Blake A. Richards CML 25 23 0 03 Oct 2019
Spiking Neural Predictive Coding for Continual Learning from Data Streams Alexander Ororbia 23 25 0 23 Aug 2019
Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Oindrila Chatterjee S. Chakrabartty 27 7 0 15 Aug 2019
Putting An End to End-to-End: Gradient-Isolated Learning of Representations Sindy Löwe Peter O'Connor Bastiaan S. Veeling SSL 6 143 0 28 May 2019
Biologically plausible deep learning -- but how far can we go with shallow networks? Bernd Illing W. Gerstner Johanni Brea 19 94 0 27 Feb 2019
Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning Frederik Benzing M. Gauy Asier Mujika A. Martinsson Angelika Steger 23 22 0 11 Feb 2019
Training Neural Networks with Local Error Signals Arild Nøkland L. Eidnes 32 226 0 20 Jan 2019
A Biologically Plausible Learning Rule for Deep Learning in the Brain Isabella Pozzi M. Felsberg Fahad Shahbaz Khan AI4CE 7 31 0 05 Nov 2018
Dendritic cortical microcircuits approximate the backpropagation algorithm João Sacramento Rui Ponte Costa Yoshua Bengio Walter Senn 11 308 0 26 Oct 2018
Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations Alexander Ororbia A. Mali C. Lee Giles Daniel Kifer 21 63 0 17 Oct 2018
Error Forward-Propagation: Reusing Feedforward Connections to Propagate Errors in Deep Learning Adam A. Kohan E. Rietman H. Siegelmann 55 24 0 09 Aug 2018
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures Sergey Bartunov Adam Santoro Blake A. Richards Luke Marris Geoffrey E. Hinton Timothy Lillicrap 26 240 0 12 Jul 2018
Unsupervised Learning by Competing Hidden Units Dmitry Krotov J. Hopfield SSL 9 166 0 26 Jun 2018
Biologically Motivated Algorithms for Propagating Local Target Representations Alexander Ororbia A. Mali 20 87 0 26 May 2018
The Roles of Supervised Machine Learning in Systems Neuroscience Joshua I. Glaser Ari S. Benjamin Roozbeh Farhoodi Konrad Paul Kording 18 114 0 21 May 2018
Reviving and Improving Recurrent Back-Propagation Renjie Liao Yuwen Xiong Ethan Fetaya Lisa Zhang Kijung Yoon Xaq Pitkow R. Urtasun R. Zemel BDL 38 118 0 16 Mar 2018
Equivalence of Equilibrium Propagation and Recurrent Backpropagation B. Scellier Yoshua Bengio 19 38 0 22 Nov 2017
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017
How deep learning works --The geometry of deep learning Xiao Dong Jiasong Wu Ling Zhou GNN 35 8 0 30 Oct 2017