Predictive Coding Approximates Backprop along Arbitrary Computation Graphs

7 June 2020

Papers citing "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"

20 / 70 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 11 24 0 27 Oct 2021
Variational Predictive Routing with Nested Subjective Timescales Alexey Zakharov Qinghai Guo Z. Fountas BDL AI4TS 43 9 0 21 Oct 2021
Associative Memories via Predictive Coding Tommaso Salvatori Yuhang Song Yujian Hong Simon Frieder Lei Sha Zhenghua Xu Rafal Bogacz Thomas Lukasiewicz 29 61 0 16 Sep 2021
Active Inference and Epistemic Value in Graphical Models T. V. D. Laar Magnus T. Koudahl Bart Van Erp Bert De Vries 26 4 0 01 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
Bayesian brains and the Rényi divergence Noor Sajid Francesco Faccio Lancelot Da Costa Thomas Parr Jürgen Schmidhuber Karl J. Friston 26 11 0 12 Jul 2021
On the relationship between predictive coding and backpropagation Robert Rosenbaum 25 28 0 20 Jun 2021
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective Akhilan Boopathy Ila Fiete 18 9 0 15 Jun 2021
Bilevel Programs Meet Deep Learning: A Unifying View on Inference Learning Methods Christopher Zach FedML 11 5 0 15 May 2021
Tightening the Biological Constraints on Gradient-Based Predictive Coding Nick Alonso Emre Neftci 19 7 0 30 Apr 2021
Bidirectional Interaction between Visual and Motor Generative Models using Predictive Coding and Active Inference Louis Annabi Alexandre Pitti M. Quoy 16 10 0 19 Apr 2021
Reverse Differentiation via Predictive Coding Tommaso Salvatori Yuhang Song Thomas Lukasiewicz Rafal Bogacz Zhenghua Xu PINN 22 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 19 24 0 05 Mar 2021
Fast On-Device Adaptation for Spiking Neural Networks via Online-Within-Online Meta-Learning Bleema Rosenfeld Bipin Rajendran Osvaldo Simeone OffRL 25 9 0 21 Feb 2021
Predictive coding feedback results in perceived illusory contours in a recurrent neural network Zhaoyang Pang Callum Biggs O'May Bhavin Choksi R. V. Rullen 19 30 0 03 Feb 2021
Investigating the Scalability and Biological Plausibility of the Activation Relaxation Algorithm Beren Millidge Alexander Tschantz A. Seth Christopher L. Buckley 17 0 0 13 Oct 2020
Relaxing the Constraints on Predictive Coding Models Beren Millidge Alexander Tschantz A. Seth Christopher L. Buckley 11 23 0 02 Oct 2020
Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain Beren Millidge Alexander Tschantz A. Seth Christopher L. Buckley ODL 17 16 0 11 Sep 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 246 4,489 0 23 Jan 2020
Learning distant cause and effect using only local and immediate credit assignment D. Rawlinson Abdelrahman Ahmed Gideon Kowadlo 10 3 0 28 May 2019