Tommaso Salvatori
Biography
I did my Bsc Theoretical Mathematics at La Sapienza University in Rome, focusing mainly on Geometry and Topology. My bachelor dissertation was on the Poincaré-Hopf theorem in Differential Geometry. I graduated from a MSc in Mathematics in January 2018, again from La Sapienza University with a thesis on Chromatic Homotopy Theory written in Berlin and supervised by Shane Kelly.
Selected Publications
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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 and Tommaso Salvatori
In Proceedings of the 13th International Conference on Learning Representations‚ ICLR 2025‚ Singapore‚ 24–28 April 2025. 2025.
Details about Benchmarking Predictive Coding Networks – Made Simple | BibTeX data for Benchmarking Predictive Coding Networks – Made Simple
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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 and Thomas Lukasiewicz
In Proceedings of the 12th International Conference on Learning Representations‚ ICLR 2024‚ Vienna‚ Austria‚ 7–11 May 2024. May, 2024.
Details about A Stable‚ Fast‚ and Fully Automatic Learning Algorithm for Predictive Coding Networks | BibTeX data for A Stable‚ Fast‚ and Fully Automatic Learning Algorithm for Predictive Coding Networks
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Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropagation
Yuhang Song‚ Beren Millidge‚ Tommaso Salvatori‚ Thomas Lukasiewicz‚ Zhenghua Xu and Rafal Bogacz
In Nature Neuroscience. 2024.
Details about Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropagation | BibTeX data for Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropagation | Link to Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropagation