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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Training Deep Predictive Coding Networks
Chang Qi‚ Thomas Lukasiewicz and Tommaso Salvatori.
In Proceedings of the ICLR 2025 Workshop on New Frontiers in Associative Memories‚ Singapore‚ 27 April 2025. February, 2025.
Details about Training Deep Predictive Coding Networks | BibTeX data for Training Deep Predictive Coding Networks
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A Survey on Neuro−mimetic Deep Learning via Predictive Coding
Tommaso Salvatori‚ Ankur Mali‚ Christopher L. Buckley‚ Thomas Lukasiewicz‚ Rajesh P. N. Rao‚ Karl Friston and Alexander Ororbia
In Neural Networks. 2025.
In press.
Details about A Survey on Neuro−mimetic Deep Learning via Predictive Coding | BibTeX data for A Survey on Neuro−mimetic Deep Learning via Predictive Coding
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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