Associative Memories via Predictive Coding

16 September 2021

Lei Sha

Papers citing "Associative Memories via Predictive Coding"

37 / 37 papers shown

Title
Binding threshold units with artificial oscillatory neurons V. Fanaskov Ivan V. Oseledets 42 0 0 06 May 2025
Bayesian Predictive Coding Alexander Tschantz Magnus T. Koudahl Hampus Linander Lancelot Da Costa Conor Heins Jeff Beck Christopher L. Buckley BDL 54 0 0 31 Mar 2025
Meta-Representational Predictive Coding: Biomimetic Self-Supervised Learning Alexander Ororbia Karl J. Friston Rajesh P. N. Rao SSL 47 0 0 22 Mar 2025
Benchmarking Predictive Coding Networks -- Made Simple Luca Pinchetti Chang Qi Oleh Lokshyn Gaspard Olivers Cornelius Emde ... Simon Frieder Bayar I. Menzat Rafal Bogacz Thomas Lukasiewicz Tommaso Salvatori 108 5 0 17 Feb 2025
Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networks A. Mali Tommaso Salvatori Alexander Ororbia 22 0 0 07 Oct 2024
Predictive Attractor Models R. Mounir Sudeep Sarkar 13 0 0 03 Oct 2024
Predictive Coding Networks and Inference Learning: Tutorial and Survey B. V. Zwol Ro Jefferson E. V. D. Broek 39 0 0 04 Jul 2024
Online Training of Hopfield Networks using Predictive Coding Ehsan Ganjidoost Mallory A. Snow Jeff Orchard 20 0 0 20 Jun 2024
Spiking representation learning for associative memories Naresh B. Ravichandran A. Lansner Pawel Herman 23 1 0 05 Jun 2024
Entropic associative memory for real world images Noé Hernández Rafael Morales L. A. Pineda 41 0 0 21 May 2024
Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models Dennis Wu Jerry Yao-Chieh Hu Teng-Yun Hsiao Han Liu 38 28 0 04 Apr 2024
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 19 5 0 11 Mar 2024
A Review of Neuroscience-Inspired Machine Learning Alexander Ororbia A. Mali Adam Kohan Beren Millidge Tommaso Salvatori 16 6 0 16 Feb 2024
Associative Memories in the Feature Space Tommaso Salvatori Beren Millidge Yuhang Song Rafal Bogacz Thomas Lukasiewicz 21 1 0 16 Feb 2024
Neural Sampling in Hierarchical Exponential-family Energy-based Models Xingsi Dong Si Wu 19 2 0 12 Oct 2023
Saliency-Guided Hidden Associative Replay for Continual Learning Guangji Bai Qilong Zhao Xiaoyang Jiang Yifei Zhang Liang Zhao CLL 22 6 0 06 Oct 2023
In search of dispersed memories: Generative diffusion models are associative memory networks Luca Ambrogioni DiffM 11 22 0 29 Sep 2023
A Sparse Quantized Hopfield Network for Online-Continual Memory Nick Alonso J. Krichmar 19 2 0 27 Jul 2023
Predictive Coding beyond Correlations Tommaso Salvatori Luca Pinchetti Amine MĆharrak Beren Millidge Thomas Lukasiewicz BDL CML 11 3 0 27 Jun 2023
Understanding and Improving Optimization in Predictive Coding Networks Nick Alonso J. Krichmar Emre Neftci 66 7 0 23 May 2023
Sequential Memory with Temporal Predictive Coding Mufeng Tang Helen C. Barron Rafal Bogacz 11 16 0 19 May 2023
Contrastive-Signal-Dependent Plasticity: Forward-Forward Learning of Spiking Neural Systems Alexander Ororbia 20 12 0 30 Mar 2023
The Predictive Forward-Forward Algorithm Alexander Ororbia A. Mali 15 37 0 04 Jan 2023
Robust Graph Representation Learning via Predictive Coding Billy Byiringiro Tommaso Salvatori Thomas Lukasiewicz OOD 15 7 0 09 Dec 2022
Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural Images Alexander Ororbia A. Mali BDL 19 9 0 22 Nov 2022
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 11 10 0 16 Nov 2022
Predictive Coding beyond Gaussian Distributions Luca Pinchetti Tommaso Salvatori Yordan Yordanov Beren Millidge Yuhang Song Thomas Lukasiewicz UQCV BDL 19 11 0 07 Nov 2022
On the Relationship Between Variational Inference and Auto-Associative Memory Louis Annabi Alexandre Pitti M. Quoy BDL 16 4 0 14 Oct 2022
A Theoretical Framework for Inference Learning Nick Alonso Beren Millidge J. Krichmar Emre Neftci 12 16 0 01 Jun 2022
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning Beren Millidge Yuhang Song Tommaso Salvatori Thomas Lukasiewicz Rafal Bogacz 13 21 0 31 May 2022
BayesPCN: A Continually Learnable Predictive Coding Associative Memory Jason Yoo F. Wood KELM 87 9 0 20 May 2022
Autoencoder Attractors for Uncertainty Estimation S. Cruz B. Taetz Thomas Stifter D. Stricker UQCV 20 9 0 01 Apr 2022
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? Beren Millidge Tommaso Salvatori Yuhang Song Rafal Bogacz Thomas Lukasiewicz AI4CE PINN 6 42 0 18 Feb 2022
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models Beren Millidge Tommaso Salvatori Yuhang Song Thomas Lukasiewicz Rafal Bogacz VLM 8 52 0 09 Feb 2022
Learning on Arbitrary Graph Topologies via Predictive Coding Tommaso Salvatori Luca Pinchetti Beren Millidge Yuhang Song Tianyi Bao Rafal Bogacz Thomas Lukasiewicz 22 33 0 31 Jan 2022
Modern Hopfield Networks and Attention for Immune Repertoire Classification Michael Widrich Bernhard Schafl Hubert Ramsauer Milena Pavlović Lukas Gruber ... Johannes Brandstetter G. K. Sandve Victor Greiff Sepp Hochreiter G. Klambauer 171 117 0 16 Jul 2020
Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting Alexander Ororbia A. Mali Daniel Kifer C. Lee Giles CLL KELM 8 15 0 25 May 2019