Rafal Bogacz
11 papers · 2020–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (23) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π€
Dynamic Duo
(10)
π
Grand Slam
β
The Questioner
(2)
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Deep Learning
(10)
Machine Learning
(9)
Architectures
(7)
Optimization & Theory
(7)
Artificial Intelligence
(6)
Interdisciplinary
(4)
Cognitive Science
(4)
Core AI
(4)
Learning Types Β· Machine Learning
(3)
Bayesian & Probabilistic
(2)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Techniques
(2)
Models
(1)
Keywords
predictive coding
(8)
neural network
(6)
hopfield network
(3)
associative memory
(3)
biologically plausible learning
(2)
predictive coding network
(2)
neural network dynamics
(1)
biologically plausible
(1)
graph topology
(1)
energy function
(1)
similarity function
(1)
synaptic weight
(1)
language model
(1)
gradient approximation
(1)
energy-based model
(1)
credit assignment
(1)
biological learning
(1)
equilibrium propagation
(1)
neuroscience-inspired learning
(1)
memory capacity
(1)
Papers
Benchmarking Predictive Coding Networks -- Made Simple
ICLR 2025
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks
ICLR 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
Sequential Memory with Temporal Predictive Coding
NeurIPS 2023
Learning on Arbitrary Graph Topologies via Predictive Coding
NeurIPS 2022
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?
IJCAI 2022
Reverse Differentiation via Predictive Coding
AAAI 2022
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models
ICML 2022
Associative Memories via Predictive Coding
NeurIPS 2021
Can the Brain Do Backpropagation? --- Exact Implementation of Backpropagation in Predictive Coding Networks
NeurIPS 2020