Beren Millidge
9 papers · 2022–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) ❓ The Questioner ⚡ Prolific Year · Productive
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Trend Setter
Venues
Top co-authors
Research topics
Deep Learning
(7)
Machine Learning
(7)
Optimization & Theory
(6)
Artificial Intelligence
(5)
Architectures
(4)
Core AI
(3)
Interdisciplinary
(2)
Bayesian & Probabilistic
(2)
Cognitive Science
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Knowledge & Reasoning
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Reasoning
(1)
Keywords
predictive coding
(7)
neural network
(3)
associative memory
(2)
image classification
(2)
inference learning
(2)
neuroscience-inspired learning
(2)
biologically plausible
(1)
graph topology
(1)
biologically plausible learning
(1)
energy function
(1)
similarity function
(1)
hopfield network
(1)
synaptic weight
(1)
variational autoencoder
(1)
language model
(1)
gradient approximation
(1)
energy-based model
(1)
transformer network
(1)
observational data
(1)
equilibrium propagation
(1)
Papers
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks
ICLR 2024
Predictive Coding beyond Correlations
ICML 2024
A Theoretical Framework for Inference and Learning in Predictive Coding Networks
ICLR 2023
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning
ICLR 2023
A Theoretical Framework for Inference Learning
NeurIPS 2022
Learning on Arbitrary Graph Topologies via Predictive Coding
NeurIPS 2022
Predictive Coding beyond Gaussian Distributions
NeurIPS 2022
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?
IJCAI 2022
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models
ICML 2022