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Tommaso Salvatori
Tommaso Salvatori
VERSES Research Lab
Verified email at verses.io
Title
Cited by
Cited by
Year
Mathematical capabilities of chatgpt
S Frieder, L Pinchetti, RR Griffiths, T Salvatori, T Lukasiewicz, ...
NeurIPS Datasets and Benchmarks Track 2023, 2023
327*2023
Boxe: A box embedding model for knowledge base completion
R Abboud, I Ceylan, T Lukasiewicz, T Salvatori
Advances in Neural Information Processing Systems 33, 9649-9661, 2020
1622020
Associative memories via predictive coding
T Salvatori, Y Song, Y Hong, L Sha, S Frieder, Z Xu, R Bogacz, ...
Advances in Neural Information Processing Systems 34, 3874-3886, 2021
582021
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models
B Millidge, T Salvatori, Y Song, T Lukasiewicz, R Bogacz
Proceedings of the 39th International Conference on Machine Learning, ICML 2022, 2022
382022
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?
B Millidge, T Salvatori, Y Song, R Bogacz, T Lukasiewicz
Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022
332022
Reverse Differentiation via Predictive Coding
T Salvatori, Y Song, Z Xu, T Lukasiewicz, R Bogacz
Proceedings of the 36th AAAI Conference on Artificial Intelligence ‚AAAI …, 2022
322022
Learning on arbitrary graph topologies via predictive coding
T Salvatori, L Pinchetti, B Millidge, Y Song, R Bogacz, T Lukasiewicz
Advances in Neural Information Processing Systems 35, 2022
232022
Predictive coding can do exact backpropagation on convolutional and recurrent neural networks
T Salvatori, Y Song, T Lukasiewicz, R Bogacz, Z Xu
arXiv preprint arXiv:2103.03725, 2021
202021
Inferring neural activity before plasticity as a foundation for learning beyond backpropagation
Y Song, B Millidge, T Salvatori, T Lukasiewicz, Z Xu, R Bogacz
Nature Neuroscience, 1-11, 2024
152024
Backpropagation at the infinitesimal inference limit of energy-based models: Unifying predictive coding, equilibrium propagation, and contrastive hebbian learning
B Millidge, Y Song, T Salvatori, T Lukasiewicz, R Bogacz
arXiv preprint arXiv:2206.02629, 2022
152022
Recurrent predictive coding models for associative memory employing covariance learning
M Tang, T Salvatori, B Millidge, Y Song, T Lukasiewicz, R Bogacz
PLoS computational biology 19 (4), e1010719, 2023
142023
A theoretical framework for inference and learning in predictive coding networks
B Millidge, Y Song, T Salvatori, T Lukasiewicz, R Bogacz
arXiv preprint arXiv:2207.12316, 2022
112022
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks
T Salvatori, Y Song, Y Yordanov, B Millidge, Z Xu, L Sha, C Emde, ...
International Conference on Learning Representations (ICLR) 2024, 2024
10*2024
Brain-inspired computational intelligence via predictive coding
T Salvatori, A Mali, CL Buckley, T Lukasiewicz, RPN Rao, K Friston, ...
arXiv preprint arXiv:2308.07870, 2023
92023
Predictive coding beyond gaussian distributions
L Pinchetti, T Salvatori, Y Yordanov, B Millidge, Y Song, T Lukasiewicz
arXiv preprint arXiv:2211.03481, 2022
82022
Robust graph representation learning via predictive coding
B Byiringiro, T Salvatori, T Lukasiewicz
arXiv preprint arXiv:2212.04656, 2022
62022
Supervised structure learning
KJ Friston, L Da Costa, A Tschantz, A Kiefer, T Salvatori, V Neacsu, ...
arXiv preprint arXiv:2311.10300, 2023
42023
Active Inference and Intentional Behaviour
KJ Friston, T Salvatori, T Isomura, A Tschantz, A Kiefer, T Verbelen, ...
arXiv preprint arXiv:2312.07547, 2023
22023
Causal Inference via Predictive Coding
T Salvatori, L Pinchetti, A M'Charrak, B Millidge, T Lukasiewicz
arXiv preprint arXiv:2306.15479, 2023
22023
Associative Memories in the Feature Space
T Salvatori, B Millidge, Y Song, R Bogacz, T Lukasiewicz
arXiv preprint arXiv:2402.10814, 2024
2024
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