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Predictive Coding Approximates Backprop along Arbitrary Computation
  Graphs
v1v2v3v4v5 (latest)

Predictive Coding Approximates Backprop along Arbitrary Computation Graphs

7 June 2020
Beren Millidge
Alexander Tschantz
Christopher L. Buckley
ArXiv (abs)PDFHTML

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

25 / 75 papers shown
Title
Hybrid Predictive Coding: Inferring, Fast and Slow
Hybrid Predictive Coding: Inferring, Fast and Slow
Alexander Tschantz
Beren Millidge
A. Seth
Christopher L. Buckley
197
49
0
05 Apr 2022
Predictive Coding: Towards a Future of Deep Learning beyond
  Backpropagation?
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?International Joint Conference on Artificial Intelligence (IJCAI), 2022
Beren Millidge
Tommaso Salvatori
Yuhang Song
Rafal Bogacz
Thomas Lukasiewicz
AI4CEPINN
151
59
0
18 Feb 2022
Learning on Arbitrary Graph Topologies via Predictive Coding
Learning on Arbitrary Graph Topologies via Predictive CodingNeural Information Processing Systems (NeurIPS), 2022
Tommaso Salvatori
Luca Pinchetti
Beren Millidge
Yuhang Song
Tianyi Bao
Rafal Bogacz
Thomas Lukasiewicz
368
43
0
31 Jan 2022
Differentiable Generalised Predictive Coding
Differentiable Generalised Predictive Coding
André Ofner
Sebastian Stober
BDLAI4CE
150
1
0
02 Dec 2021
Predictive coding, precision and natural gradients
Predictive coding, precision and natural gradients
André Ofner
Raihan Kabir Ratul
Suhita Ghosh
Sebastian Stober
132
4
0
12 Nov 2021
Latent Equilibrium: A unified learning theory for arbitrarily fast
  computation with arbitrarily slow neurons
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
151
28
0
27 Oct 2021
Variational Predictive Routing with Nested Subjective Timescales
Variational Predictive Routing with Nested Subjective TimescalesInternational Conference on Learning Representations (ICLR), 2021
Alexey Zakharov
Qinghai Guo
Zafeirios Fountas
BDLAI4TS
125
10
0
21 Oct 2021
Associative Memories via Predictive Coding
Associative Memories via Predictive Coding
Tommaso Salvatori
Yuhang Song
Yujian Hong
Simon Frieder
Lei Sha
Zhenghua Xu
Rafal Bogacz
Thomas Lukasiewicz
165
74
0
16 Sep 2021
Active Inference and Epistemic Value in Graphical Models
Active Inference and Epistemic Value in Graphical ModelsFrontiers in Robotics and AI (Front. Robot. AI), 2021
T. V. D. Laar
Magnus T. Koudahl
Bart Van Erp
Bert De Vries
173
6
0
01 Sep 2021
Predictive Coding: a Theoretical and Experimental Review
Predictive Coding: a Theoretical and Experimental Review
Beren Millidge
A. Seth
Christopher L. Buckley
AI4CE
354
158
0
27 Jul 2021
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft
  Winner-Take-All Networks
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft Winner-Take-All Networks
Timoleon Moraitis
Dmitry Toichkin
Adrien Journé
Yansong Chua
Qinghai Guo
AAMLBDL
359
35
0
12 Jul 2021
Bayesian brains and the Rényi divergence
Bayesian brains and the Rényi divergence
Noor Sajid
Francesco Faccio
Lancelot Da Costa
Thomas Parr
Jürgen Schmidhuber
Karl J. Friston
220
13
0
12 Jul 2021
On the relationship between predictive coding and backpropagation
On the relationship between predictive coding and backpropagationPLoS ONE (PLOS ONE), 2021
Robert Rosenbaum
322
35
0
20 Jun 2021
How to Train Your Wide Neural Network Without Backprop: An Input-Weight
  Alignment Perspective
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective
Akhilan Boopathy
Ila Fiete
196
13
0
15 Jun 2021
Bilevel Programs Meet Deep Learning: A Unifying View on Inference
  Learning Methods
Bilevel Programs Meet Deep Learning: A Unifying View on Inference Learning Methods
Christopher Zach
FedML
119
6
0
15 May 2021
Tightening the Biological Constraints on Gradient-Based Predictive
  Coding
Tightening the Biological Constraints on Gradient-Based Predictive CodingInternational Conference on Systems (ICONS), 2021
Nick Alonso
Emre Neftci
149
9
0
30 Apr 2021
Bidirectional Interaction between Visual and Motor Generative Models
  using Predictive Coding and Active Inference
Bidirectional Interaction between Visual and Motor Generative Models using Predictive Coding and Active InferenceNeural Networks (NN), 2021
Louis Annabi
Alexandre Pitti
M. Quoy
257
11
0
19 Apr 2021
Reverse Differentiation via Predictive Coding
Reverse Differentiation via Predictive CodingAAAI Conference on Artificial Intelligence (AAAI), 2021
Tommaso Salvatori
Yuhang Song
Thomas Lukasiewicz
Rafal Bogacz
Zhenghua Xu
PINN
290
27
0
08 Mar 2021
Predictive Coding Can Do Exact Backpropagation on Convolutional and
  Recurrent Neural Networks
Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks
Tommaso Salvatori
Yuhang Song
Thomas Lukasiewicz
Rafal Bogacz
Zhenghua Xu
PINN
161
25
0
05 Mar 2021
Fast On-Device Adaptation for Spiking Neural Networks via
  Online-Within-Online Meta-Learning
Fast On-Device Adaptation for Spiking Neural Networks via Online-Within-Online Meta-Learning
Bleema Rosenfeld
Bipin Rajendran
Osvaldo Simeone
OffRL
199
9
0
21 Feb 2021
Predictive coding feedback results in perceived illusory contours in a
  recurrent neural network
Predictive coding feedback results in perceived illusory contours in a recurrent neural networkNeural Networks (NN), 2021
Zhaoyang Pang
Callum Biggs O'May
Bhavin Choksi
R. V. Rullen
134
35
0
03 Feb 2021
Investigating the Scalability and Biological Plausibility of the
  Activation Relaxation Algorithm
Investigating the Scalability and Biological Plausibility of the Activation Relaxation Algorithm
Beren Millidge
Alexander Tschantz
A. Seth
Christopher L. Buckley
121
0
0
13 Oct 2020
Relaxing the Constraints on Predictive Coding Models
Relaxing the Constraints on Predictive Coding Models
Beren Millidge
Alexander Tschantz
A. Seth
Christopher L. Buckley
205
24
0
02 Oct 2020
Activation Relaxation: A Local Dynamical Approximation to
  Backpropagation in the Brain
Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain
Beren Millidge
Alexander Tschantz
A. Seth
Christopher L. Buckley
ODL
241
18
0
11 Sep 2020
Learning distant cause and effect using only local and immediate credit
  assignment
Learning distant cause and effect using only local and immediate credit assignmentIEEE International Joint Conference on Neural Network (IJCNN), 2019
D. Rawlinson
Abdelrahman Ahmed
Gideon Kowadlo
162
3
0
28 May 2019
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