BoxE: A Box Embedding Model for Knowledge Base Completion. - Ralph Abboud; Ismail Ilkan Ceylan; Thomas Lukasiewicz; Tommaso Salvatori (NeurIPS, 2020)

Associative Memories via Predictive Coding. - Tommaso Salvatori; Yuhang Song 001; Yujian Hong; Lei Sha; Simon Frieder; Zhenghua Xu 001; Rafal Bogacz; Thomas Lukasiewicz (NeurIPS, 2021)

Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks. - Tommaso Salvatori; Yuhang Song 001; Thomas Lukasiewicz; Rafal Bogacz; Zhenghua Xu 001 (CoRR, 2021)

Predictive Coding Can Do Exact Backpropagation on Any Neural Network. - Tommaso Salvatori; Yuhang Song 001; Thomas Lukasiewicz; Rafal Bogacz; Zhenghua Xu 001 (CoRR, 2021)

Reverse Differentiation via Predictive Coding. - Tommaso Salvatori; Yuhang Song 001; Zhenghua Xu 001; Thomas Lukasiewicz; Rafal Bogacz (AAAI, 2022)

Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models. - Beren Millidge; Tommaso Salvatori; Yuhang Song 001; Thomas Lukasiewicz; Rafal Bogacz (ICML, 2022)

Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? - Beren Millidge; Tommaso Salvatori; Yuhang Song 001; Rafal Bogacz; Thomas Lukasiewicz (IJCAI, 2022)

Predictive Coding beyond Gaussian Distributions. - Luca Pinchetti; Tommaso Salvatori; Yordan Yordanov; Beren Millidge; Yuhang Song 001; Thomas Lukasiewicz (NeurIPS, 2022)

Learning on Arbitrary Graph Topologies via Predictive Coding. - Tommaso Salvatori; Luca Pinchetti; Beren Millidge; Yuhang Song 001; Tianyi Bao; Rafal Bogacz; Thomas Lukasiewicz (NeurIPS, 2022)

Learning on Arbitrary Graph Topologies via Predictive Coding. - Tommaso Salvatori; Luca Pinchetti; Beren Millidge; Yuhang Song 001; Rafal Bogacz; Thomas Lukasiewicz (CoRR, 2022)

Bird-Eye Transformers for Text Generation Models. - Lei Sha; Yuhang Song 001; Yordan Yordanov; Tommaso Salvatori; Thomas Lukasiewicz (CoRR, 2022)

Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm. - Tommaso Salvatori; Yuhang Song 001; Beren Millidge; Zhenghua Xu 001; Lei Sha; Cornelius Emde; Rafal Bogacz; Thomas Lukasiewicz (CoRR, 2022)

Robust Graph Representation Learning via Predictive Coding. - Billy Byiringiro; Tommaso Salvatori; Thomas Lukasiewicz (CoRR, 2022)

Associative Memories in the Feature Space. - Tommaso Salvatori; Beren Millidge; Yuhang Song 001; Rafal Bogacz; Thomas Lukasiewicz (ECAI, 2023)

Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning. - Beren Millidge; Yuhang Song 001; Tommaso Salvatori; Thomas Lukasiewicz; Rafal Bogacz (ICLR, 2023)

A Theoretical Framework for Inference and Learning in Predictive Coding Networks. - Beren Millidge; Yuhang Song 001; Tommaso Salvatori; Thomas Lukasiewicz; Rafal Bogacz (ICLR, 2023)

Mathematical Capabilities of ChatGPT. - Simon Frieder; Luca Pinchetti; Alexis Chevalier; Ryan-Rhys Griffiths; Tommaso Salvatori; Thomas Lukasiewicz; Philipp Petersen; Julius Berner (NeurIPS, 2023)

Causal Inference via Predictive Coding. - Tommaso Salvatori; Luca Pinchetti; Amine M'Charrak; Beren Millidge; Thomas Lukasiewicz (CoRR, 2023)

Brain-Inspired Computational Intelligence via Predictive Coding. - Tommaso Salvatori; Ankur Arjun Mali; Christopher L. Buckley; Thomas Lukasiewicz; Rajesh P. N. Rao; Karl J. Friston; Alexander Ororbia (CoRR, 2023)

Supervised structure learning. - Karl J. Friston; Lancelot Da Costa; Alexander Tschantz; Alex B. Kiefer; Tommaso Salvatori; Victorita Neacsu; Magnus T. Koudahl; Conor Heins; Noor Sajid; Dimitrije Markovic; Thomas Parr; Tim Verbelen; et al. (CoRR, 2023)

Active Inference and Intentional Behaviour. - Karl J. Friston; Tommaso Salvatori; Takuya Isomura; Alexander Tschantz; Alex B. Kiefer; Tim Verbelen; Magnus T. Koudahl; Aswin Paul; Thomas Parr; Adeel Razi; Brett J. Kagan; Christopher L. Buckley; et al. (CoRR, 2023)

Recurrent predictive coding models for associative memory employing covariance learning. - Mufeng Tang; Tommaso Salvatori; Beren Millidge; Yuhang Song 001; Thomas Lukasiewicz; Rafal Bogacz (PLoS Comput. Biol., 2023)

A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks. - Tommaso Salvatori; Yuhang Song 001; Yordan Yordanov; Beren Millidge; Lei Sha; Cornelius Emde; Zhenghua Xu 001; Rafal Bogacz; Thomas Lukasiewicz (ICLR, 2024)

Predictive Coding beyond Correlations. - Tommaso Salvatori; Luca Pinchetti; Amine M'Charrak; Beren Millidge; Thomas Lukasiewicz (ICML, 2024)

Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm. - Eli Sennesh; Hao Wu; Tommaso Salvatori (NeurIPS, 2024)

A Review of Neuroscience-Inspired Machine Learning. - Alexander Ororbia; Ankur Arjun Mali; Adam Kohan; Beren Millidge; Tommaso Salvatori (CoRR, 2024)

Benchmarking Predictive Coding Networks - Made Simple. - Luca Pinchetti; Chang Qi; Oleh Lokshyn; Gaspard Olivers; Cornelius Emde; Mufeng Tang; Amine M'Charrak; Simon Frieder; Bayar Menzat; Rafal Bogacz; Thomas Lukasiewicz; Tommaso Salvatori (CoRR, 2024)

From pixels to planning: scale-free active inference. - Karl J. Friston; Conor Heins; Tim Verbelen; Lancelot Da Costa; Tommaso Salvatori; Dimitrije Markovic; Alexander Tschantz; Magnus T. Koudahl; Christopher Buckley 001; Thomas Parr (CoRR, 2024)

Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networks. - Ankur Arjun Mali; Tommaso Salvatori; Alexander Ororbia (CoRR, 2024)

Benchmarking Predictive Coding Networks - Made Simple. - Luca Pinchetti; Chang Qi; Oleh Lokshyn; Cornelius Emde; Amine M'Charrak; Mufeng Tang; Simon Frieder; Bayar Menzat; Gaspard Oliviers; Rafal Bogacz; Thomas Lukasiewicz; Tommaso Salvatori (ICLR, 2025)

Active Inference and Intentional Behavior. - Karl J. Friston; Tommaso Salvatori; Takuya Isomura; Alexander Tschantz; Alex B. Kiefer; Tim Verbelen; Magnus T. Koudahl; Aswin Paul; Thomas Parr; Adeel Razi; Brett J. Kagan; Christopher L. Buckley; et al. (Neural Comput., 2025)

Distributed Intelligence in the Computing Continuum with Active Inference. - Victor Casamayor-Pujol; Boris Sedlak; Tommaso Salvatori; Karl J. Friston; Schahram Dustdar (CoRR, 2025)

AXIOM: Learning to Play Games in Minutes with Expanding Object-Centric Models. - Conor Heins; Toon Van de Maele; Alexander Tschantz; Hampus Linander; Dimitrije Markovic; Tommaso Salvatori; Corrado Pezzato; Ozan Çatal; Ran Wei; Magnus T. Koudahl; Marco Perin; Karl J. Friston; et al. (CoRR, 2025)

Towards the Training of Deeper Predictive Coding Neural Networks. - Chang Qi; Matteo Forasassi; Thomas Lukasiewicz; Tommaso Salvatori (CoRR, 2025)