Salvatori, Tommaso

15 publications

ICLR 2025 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

ICLRW 2025 Training Deep Predictive Coding Networks Chang Qi, Thomas Lukasiewicz, Tommaso Salvatori

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

NeurIPS 2024 Divide-and-Conquer Predictive Coding: A Structured Bayesian Inference Algorithm Eli Sennesh, Hao Wu, Tommaso Salvatori

ICML 2024 Predictive Coding Beyond Correlations Tommaso Salvatori, Luca Pinchetti, Amine M’Charrak, Beren Millidge, Thomas Lukasiewicz

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

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

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

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

NeurIPS 2022 Predictive Coding Beyond Gaussian Distributions Luca Pinchetti, Tommaso Salvatori, Yordan Yordanov, Beren Millidge, Yuhang Song, Thomas Lukasiewicz

IJCAI 2022 Predictive Coding: Towards a Future of Deep Learning Beyond Backpropagation? Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz

AAAI 2022 Reverse Differentiation via Predictive Coding Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz

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

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

NeurIPS 2020 BoxE: A Box Embedding Model for Knowledge Base Completion Ralph Abboud, Ismail Ceylan, Thomas Lukasiewicz, Tommaso Salvatori