| Mathematical capabilities of chatgpt S Frieder, L Pinchetti, RR Griffiths, T Salvatori, T Lukasiewicz, ... NeurIPS Datasets and Benchmarks Track 2023, 2023 | 562* | 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 | 229 | 2020 |
| 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 | 76 | 2021 |
| 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 | 60 | 2022 |
| 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 27 (2), 348-358, 2024 | 49 | 2024 |
| 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 | 45 | 2022 |
| 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 | 38 | 2022 |
| 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 | 33 | 2022 |
| 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 | 27 | 2023 |
| 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 | 24 | 2023 |
| 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 International Conference of Learning Representations (ICLR) 2023, 2022 | 24 | 2022 |
| 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 | 24 | 2021 |
| 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 | 17* | 2024 |
| A theoretical framework for inference and learning in predictive coding networks B Millidge, Y Song, T Salvatori, T Lukasiewicz, R Bogacz International Conference of Learning Representations (ICLR) 2023, 2023 | 17 | 2023 |
| Predictive coding beyond gaussian distributions L Pinchetti, T Salvatori, Y Yordanov, B Millidge, Y Song, T Lukasiewicz Advances in Neural Information Processing Systems (NeurIPS) 2022, 2022 | 14 | 2022 |
| A review of neuroscience-inspired machine learning A Ororbia, A Mali, A Kohan, B Millidge, T Salvatori arXiv preprint arXiv:2403.18929, 2024 | 7 | 2024 |
| Supervised structure learning KJ Friston, L Da Costa, A Tschantz, A Kiefer, T Salvatori, V Neacsu, ... Biological Psychology 193, 108891, 2024 | 6 | 2024 |
| Predictive Coding beyond Correlations T Salvatori, L Pinchetti, A M'Charrak, B Millidge, T Lukasiewicz Forty-first International Conference on Machine Learning, 2024 | 6* | 2024 |
| Active inference and intentional behaviour KJ Friston, T Salvatori, T Isomura, A Tschantz, A Kiefer, T Verbelen, ... arXiv preprint arXiv:2312.07547, 2023 | 6 | 2023 |
| Robust graph representation learning via predictive coding B Byiringiro, T Salvatori, T Lukasiewicz arXiv preprint arXiv:2212.04656, 2022 | 6 | 2022 |
