| 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 | 85 | 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 | 24 | 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 | 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 | 12 | 2021 |
| 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 | 10 | 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 | 9 | 2022 |
| 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 | 6 | 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 | 6 | 2022 |
| 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 | 1 | 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 | 1 | 2022 |
| Recurrent predictive coding models for associative memory employing covariance learning M Tang, T Salvatori, B Millidge, Y Song, T Lukasiewicz, R Bogacz bioRxiv, 2022.11. 09.515747, 2022 | 1 | 2022 |
| Mathematical Capabilities of ChatGPT S Frieder, L Pinchetti, RR Griffiths, T Salvatori, T Lukasiewicz, ... arXiv preprint arXiv:2301.13867, 2023 | | 2023 |
| Robust Graph Representation Learning via Predictive Coding B Byiringiro, T Salvatori, T Lukasiewicz arXiv preprint arXiv:2212.04656, 2022 | | 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 | | 2022 |
| Predictive Coding beyond Gaussian Distributions L Pinchetti, T Salvatori, Y Yordanov, B Millidge, Y Song, T Lukasiewicz arXiv preprint arXiv:2211.03481, 2022 | | 2022 |
| Bird-Eye Transformers for Text Generation Models L Sha, Y Song, Y Yordanov, T Salvatori, T Lukasiewicz arXiv preprint arXiv:2210.03985, 2022 | | 2022 |
