Tommaso Salvatori

According to our database, Tommaso Salvatori authored at least 23 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Review of Neuroscience-Inspired Machine Learning.

Alexander Ororbia, Ankur Arjun Mali, Adam Kohan, Beren Millidge, Tommaso Salvatori

CoRR, 2024

2023

Recurrent predictive coding models for associative memory employing covariance learning.

Mufeng Tang, Tommaso Salvatori, Beren Millidge, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz

PLoS Comput. Biol., 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 Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead

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, Christopher L. Buckley

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

Causal Inference via Predictive Coding.

Tommaso Salvatori, Luca Pinchetti, Amine M'Charrak, Beren Millidge, Thomas Lukasiewicz

CoRR, 2023

Mathematical Capabilities of ChatGPT.

Simon Frieder, Luca Pinchetti, Alexis Chevalier, Ryan-Rhys Griffiths, Tommaso Salvatori, Thomas Lukasiewicz, Philipp Petersen, Julius Berner

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Theoretical Framework for Inference and Learning in Predictive Coding Networks.

Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz

Proceedings of the Eleventh International Conference on Learning Representations, 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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Associative Memories in the Feature Space.

Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Robust Graph Representation Learning via Predictive Coding.

Billy Byiringiro, Tommaso Salvatori, Thomas Lukasiewicz

CoRR, 2022

Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm.

Tommaso Salvatori, Yuhang Song, Beren Millidge, Zhenghua Xu, Lei Sha, Cornelius Emde, Rafal Bogacz, Thomas Lukasiewicz

CoRR, 2022

Bird-Eye Transformers for Text Generation Models.

Lei Sha, Yuhang Song, Yordan Yordanov, Tommaso Salvatori, Thomas Lukasiewicz

CoRR, 2022

Learning on Arbitrary Graph Topologies via Predictive Coding.

Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz

CoRR, 2022

Learning on Arbitrary Graph Topologies via Predictive Coding.

Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Tianyi Bao, Rafal Bogacz, Thomas Lukasiewicz

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Predictive Coding beyond Gaussian Distributions.

Luca Pinchetti, Tommaso Salvatori, Yordan Yordanov, Beren Millidge, Yuhang Song, Thomas Lukasiewicz

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?

Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models.

Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz

Proceedings of the International Conference on Machine Learning, 2022

Reverse Differentiation via Predictive Coding.

Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Predictive Coding Can Do Exact Backpropagation on Any Neural Network.

Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu

CoRR, 2021

Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks.

Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu

CoRR, 2021

Associative Memories via Predictive Coding.

Tommaso Salvatori, Yuhang Song, Yujian Hong, Lei Sha, Simon Frieder, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

BoxE: A Box Embedding Model for Knowledge Base Completion.

Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz, Tommaso Salvatori

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020