Rafal Bogacz
11 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Cross-Pollinator (7)
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Taxonomy Completionist
(15)
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(10)
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Grand Slam
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Keyword Champion
(6)
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The Questioner
(2)
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Century Club
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Conferences
ICLR (4)
NIPS (4)
AAAI (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
predictive coding
(6)
hopfield network
(3)
neural network
(3)
associative memory
(3)
biologically plausible learning
(2)
biologically plausible
(1)
graph topology
(1)
energy function
(1)
similarity function
(1)
credit assignment
(1)
biological learning
(1)
neuroscience-inspired learning
(1)
memory capacity
(1)
pattern retrieval
(1)
reverse differentiation
(1)
zero-divergence inference learning
(1)
local update rule
(1)
arbitrary graph
(1)
inference learning
(1)
sequential memory
(1)
Papers
Benchmarking Predictive Coding Networks -- Made Simple
ICLR 2025
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks
ICLR 2024
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 and Learning in Predictive Coding Networks
ICLR 2023
Sequential Memory with Temporal Predictive Coding
NIPS 2023
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?
IJCAI 2022
Learning on Arbitrary Graph Topologies via Predictive Coding
NIPS 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
NIPS 2021
Can the Brain Do Backpropagation? --- Exact Implementation of Backpropagation in Predictive Coding Networks
NIPS 2020