Mathematical capabilities of chatgpt S Frieder, L Pinchetti, RR Griffiths, T Salvatori, T Lukasiewicz, ... NeurIPS Datasets and Benchmarks Track 2023, 2023 | 503* | 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 | 217 | 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 | 71 | 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 | 51 | 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 | 42 | 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 | 41 | 2024 |
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 | 35 | 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 | 32 | 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 | 25 | 2023 |
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 | 23 | 2021 |
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 | 19 | 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 | 17 | 2023 |
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 | 15 | 2023 |
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 | 14* | 2024 |
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 | 13 | 2022 |
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 |
Supervised structure learning KJ Friston, L Da Costa, A Tschantz, A Kiefer, T Salvatori, V Neacsu, ... arXiv preprint arXiv:2311.10300, 2023 | 6 | 2023 |
Robust graph representation learning via predictive coding B Byiringiro, T Salvatori, T Lukasiewicz arXiv preprint arXiv:2212.04656, 2022 | 5 | 2022 |
A review of neuroscience-inspired machine learning A Ororbia, A Mali, A Kohan, B Millidge, T Salvatori arXiv preprint arXiv:2403.18929, 2024 | 3 | 2024 |
Causal inference via predictive coding T Salvatori, L Pinchetti, A M'Charrak, B Millidge, T Lukasiewicz arXiv preprint arXiv:2306.15479, 2023 | 3 | 2023 |