Tommaso Salvatori

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 35

Top Topics

Gaussian Distribution

Predictive Coding

Top Venues

Publications

Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
Associative Memories in the Feature Space. CoRR (2024)
Alexander Ororbia, Ankur Arjun Mali, Adam Kohan, Beren Millidge, Tommaso Salvatori
A Review of Neuroscience-Inspired Machine Learning. CoRR (2024)
Tommaso Salvatori, Yuhang Song, Yordan Yordanov, Beren Millidge, Lei Sha, Cornelius Emde, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks. ICLR (2024)
Karl J. Friston, Conor Heins, Tim Verbelen, Lancelot Da Costa, Tommaso Salvatori, Dimitrije Markovic, Alexander Tschantz, Magnus T. Koudahl, Christopher L. Buckley, Thomas Parr
From pixels to planning: scale-free active inference. CoRR (2024)
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
Benchmarking Predictive Coding Networks - Made Simple. CoRR (2024)
Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
A Theoretical Framework for Inference and Learning in Predictive Coding Networks. ICLR (2023)
Mufeng Tang, Tommaso Salvatori, Beren Millidge, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz
Recurrent predictive coding models for associative memory employing covariance learning. PLoS Comput. Biol. 19 (4) (2023)
Simon Frieder, Luca Pinchetti, Ryan-Rhys Griffiths, Tommaso Salvatori, Thomas Lukasiewicz, Philipp Christian Petersen, Alexis Chevalier, Julius Berner
Mathematical Capabilities of ChatGPT. CoRR (2023)
Karl J. Friston, Tommaso Salvatori, Takuya Isomura, Alexander Tschantz, Alex B. Kiefer, Tim Verbelen, Magnus T. Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead
Active Inference and Intentional Behaviour. CoRR (2023)
Tommaso Salvatori, Luca Pinchetti, Amine M'Charrak, Beren Millidge, Thomas Lukasiewicz
Causal Inference via Predictive Coding. CoRR (2023)
Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
Associative Memories in the Feature Space. ECAI (2023)
Simon Frieder, Luca Pinchetti, Alexis Chevalier, Ryan-Rhys Griffiths, Tommaso Salvatori, Thomas Lukasiewicz, Philipp Petersen, Julius Berner
Mathematical Capabilities of ChatGPT. NeurIPS (2023)
Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning. ICLR (2023)
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, Christopher L. Buckley
Supervised structure learning. CoRR (2023)
Tommaso Salvatori, Ankur Arjun Mali, Christopher L. Buckley, Thomas Lukasiewicz, Rajesh P. N. Rao, Karl J. Friston, Alexander Ororbia
Brain-Inspired Computational Intelligence via Predictive Coding. CoRR (2023)
Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? CoRR (2022)
Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning. CoRR (2022)
Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models. CoRR (2022)
Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Tianyi Bao, Rafal Bogacz, Thomas Lukasiewicz
Learning on Arbitrary Graph Topologies via Predictive Coding. NeurIPS (2022)
Lei Sha, Yuhang Song, Yordan Yordanov, Tommaso Salvatori, Thomas Lukasiewicz
Bird-Eye Transformers for Text Generation Models. CoRR (2022)
Luca Pinchetti, Tommaso Salvatori, Yordan Yordanov, Beren Millidge, Yuhang Song, Thomas Lukasiewicz
Predictive Coding beyond Gaussian Distributions. NeurIPS (2022)
Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
Learning on Arbitrary Graph Topologies via Predictive Coding. CoRR (2022)
Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz
Reverse Differentiation via Predictive Coding. AAAI (2022)
Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
A Theoretical Framework for Inference and Learning in Predictive Coding Networks. CoRR (2022)
Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models. ICML (2022)
Tommaso Salvatori, Yuhang Song, Beren Millidge, Zhenghua Xu, Lei Sha, Cornelius Emde, Rafal Bogacz, Thomas Lukasiewicz
Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm. CoRR (2022)
Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? IJCAI (2022)
Billy Byiringiro, Tommaso Salvatori, Thomas Lukasiewicz
Robust Graph Representation Learning via Predictive Coding. CoRR (2022)
Luca Pinchetti, Tommaso Salvatori, Yordan Yordanov, Beren Millidge, Yuhang Song, Thomas Lukasiewicz
Predictive Coding beyond Gaussian Distributions. CoRR (2022)
Tommaso Salvatori, Yuhang Song, Yujian Hong, Lei Sha, Simon Frieder, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
Associative Memories via Predictive Coding. NeurIPS (2021)
Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu
Predictive Coding Can Do Exact Backpropagation on Any Neural Network. CoRR (2021)
Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu
Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks. CoRR (2021)
Tommaso Salvatori, Yuhang Song, Yujian Hong, Simon Frieder, Lei Sha, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
Associative Memories via Predictive Coding. CoRR (2021)
Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz, Tommaso Salvatori
BoxE: A Box Embedding Model for Knowledge Base Completion. CoRR (2020)
Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz, Tommaso Salvatori
BoxE: A Box Embedding Model for Knowledge Base Completion. NeurIPS (2020)