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Predictive Coding: Towards a Future of Deep Learning beyond
  Backpropagation?

Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?

18 February 2022
Beren Millidge
Tommaso Salvatori
Yuhang Song
Rafal Bogacz
Thomas Lukasiewicz
    AI4CE
    PINN
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Papers citing "Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?"

12 / 12 papers shown
Title
Provable Accuracy Bounds for Hybrid Dynamical Optimization and Sampling
Provable Accuracy Bounds for Hybrid Dynamical Optimization and Sampling
Matthew Burns
Qingyuan Hou
Michael Huang
29
1
0
08 Oct 2024
Tight Stability, Convergence, and Robustness Bounds for Predictive
  Coding Networks
Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networks
A. Mali
Tommaso Salvatori
Alexander Ororbia
25
0
0
07 Oct 2024
Report on Candidate Computational Indicators for Conscious Valenced
  Experience
Report on Candidate Computational Indicators for Conscious Valenced Experience
Andres Campero
20
1
0
25 Apr 2024
Improving deep learning with prior knowledge and cognitive models: A
  survey on enhancing explainability, adversarial robustness and zero-shot
  learning
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning
F. Mumuni
A. Mumuni
AAML
22
5
0
11 Mar 2024
Neither hype nor gloom do DNNs justice
Neither hype nor gloom do DNNs justice
Gaurav Malhotra
Christian Tsvetkov
B. D. Evans
13
114
0
08 Dec 2023
The generalized Hierarchical Gaussian Filter
The generalized Hierarchical Gaussian Filter
Lilian A. E. Weber
Peter Thestrup Waade
Nicolas Legrand
Anna Hedvig Moller
K. Stephan
C. Mathys
9
5
0
18 May 2023
The Compositional Structure of Bayesian Inference
The Compositional Structure of Bayesian Inference
Dylan Braithwaite
Jules Hedges
T. S. C. Smithe
9
7
0
10 May 2023
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive
  Coding Networks
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks
Tommaso Salvatori
Yuhang Song
Yordan Yordanov
Beren Millidge
Zheng R. Xu
Lei Sha
Cornelius Emde
Rafal Bogacz
Thomas Lukasiewicz
13
10
0
16 Nov 2022
Hybrid Predictive Coding: Inferring, Fast and Slow
Hybrid Predictive Coding: Inferring, Fast and Slow
Alexander Tschantz
Beren Millidge
A. Seth
Christopher L. Buckley
10
36
0
05 Apr 2022
A Brain Inspired Learning Algorithm for the Perception of a Quadrotor in
  Wind
A Brain Inspired Learning Algorithm for the Perception of a Quadrotor in Wind
A. Meera
M. Wisse
21
6
0
24 Sep 2021
Scaling Laws for Neural Language Models
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
220
3,054
0
23 Jan 2020
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
240
7,597
0
03 Jul 2012
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