| Mathematical capabilities of chatgpt S Frieder, L Pinchetti, RR Griffiths, T Salvatori, T Lukasiewicz, ... arXiv preprint arXiv:2301.13867, 2023 | 133 | 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 | 120 | 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 | 35 | 2021 |
| 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 | 20 | 2022 |
| 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 | 18 | 2022 |
| 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 | 15 | 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 | 14 | 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 | 14 | 2021 |
| Inferring neural activity before plasticity: A foundation for learning beyond backpropagation Y Song, B Millidge, T Salvatori, T Lukasiewicz, Z Xu, R Bogacz bioRxiv, 2022.05. 17.492325, 2022 | 10 | 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 | 7 | 2023 |
| 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 | 7 | 2022 |
| Incremental predictive coding: A parallel and fully automatic learning algorithm T Salvatori, Y Song, B Millidge, Z Xu, L Sha, C Emde, R Bogacz, ... arXiv preprint arXiv:2212.00720, 2022 | 5 | 2022 |
| 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 | 4 | 2022 |
| Robust graph representation learning via predictive coding B Byiringiro, T Salvatori, T Lukasiewicz arXiv preprint arXiv:2212.04656, 2022 | 3 | 2022 |
| Predictive Coding beyond Gaussian Distributions L Pinchetti, T Salvatori, Y Yordanov, B Millidge, Y Song, T Lukasiewicz arXiv preprint arXiv:2211.03481, 2022 | 2 | 2022 |
| 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 | | 2023 |
| Causal Inference via Predictive Coding T Salvatori, L Pinchetti, A M'Charrak, B Millidge, T Lukasiewicz arXiv preprint arXiv:2306.15479, 2023 | | 2023 |
| Associative Memories in the Feature Space T Lukasiewicz, T Salvatori, Y Song | | 2023 |
| Bird-Eye Transformers for Text Generation Models L Sha, Y Song, Y Yordanov, T Salvatori, T Lukasiewicz arXiv preprint arXiv:2210.03985, 2022 | | 2022 |
| Learning and memorization via predictive coding T Salvatori University of Oxford, 2022 | | 2022 |
