Tommaso Salvatori
14 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
Jump to papers ↓+10 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (35) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π Grand Slam
π€
Dynamic Duo
(13)
π
Grand Slam
π§¬
Topic Evolution
π
Triple Crown
ποΈ
Keyword Collector
(56)
π₯
Unstoppable Β· Bronze
β
The Questioner
β‘
Prolific Year Β· Productive
π
Trend Setter
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Deep Learning
(12)
Machine Learning
(11)
Artificial Intelligence
(10)
Core AI
(8)
Architectures
(7)
Optimization & Theory
(6)
Models
(4)
Interdisciplinary
(3)
Bayesian & Probabilistic
(3)
Cognitive Science
(3)
Core Methods
(3)
Learning Types Β· Machine Learning
(3)
Knowledge & Reasoning
(2)
Learning Types Β· Deep Learning
(2)
Techniques
(2)
Keywords
predictive coding
(9)
neural network
(5)
associative memory
(3)
variational inference
(2)
hopfield network
(2)
biologically plausible learning
(2)
biologically plausible
(2)
predictive coding network
(2)
image classification
(2)
hierarchical generative model
(2)
language model
(2)
neuroscience-inspired learning
(2)
mathematical reasoning
(1)
graph topology
(1)
natural language
(1)
local learning
(1)
benchmark evaluation
(1)
similarity function
(1)
probabilistic graphical model
(1)
knowledge graph
(1)
Papers
Benchmarking Predictive Coding Networks -- Made Simple
ICLR 2025
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks
ICLR 2024
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm
NeurIPS 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
Mathematical Capabilities of ChatGPT
NeurIPS 2023
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
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
BoxE: A Box Embedding Model for Knowledge Base Completion
NeurIPS 2020