| 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 | 31 | 2024 |
| A Stable ‚Fast ‚and Fully Automatic Learning Algorithm for Predictive Coding Networks C Emde, T Lukasiewicz, T Salvatori, L Sha, Y Song, Z Xu, Y Yordanov | | 2024 |
| Reward-bases: dopaminergic mechanisms for adaptive acquisition of multiple reward types B Millidge, Y Song, A Lak, ME Walton, R Bogacz BioRxiv, 2023.05. 09.540067, 2023 | 3 | 2023 |
| 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 | 22 | 2023 |
| Associative Memories in the Feature Space T Salvatori, B Millidge, Y Song, R Bogcaz, T Lukasiewicz ECAI 2023, 2065-2072, 2023 | 1 | 2023 |
| A Theoretical Framework for Inference and Learning in Predictive Coding Networks T Lukasiewicz, T Salvatori, Y Song | | 2023 |
| Backpropagation at the Infinitesimal Inference Limit of Energy− Based Models: Unifying Predictive Coding ‚Equilibrium Propagation ‚and Contrastive Hebbian Learning T Lukasiewicz, T Salvatori, Y Song | | 2023 |
| Associative Memories in the Feature Space T Lukasiewicz, T Salvatori, Y Song | | 2023 |
| Learning on arbitrary graph topologies via predictive coding T Salvatori, L Pinchetti, B Millidge, Y Song, T Bao, R Bogacz, ... Advances in neural information processing systems 35, 38232-38244, 2022 | 29 | 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 | 12 | 2022 |
| Predictive coding beyond gaussian distributions L Pinchetti, T Salvatori, Y Yordanov, B Millidge, Y Song, T Lukasiewicz arXiv preprint arXiv:2211.03481, 2022 | 11 | 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 |
| A task-agnostic regularizer for diverse subpolicy discovery in hierarchical reinforcement learning L Huo, Z Wang, M Xu, Y Song IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (3), 1932-1944, 2022 | 5 | 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 | 13 | 2022 |
| Universal hopfield networks: A general framework for single-shot associative memory models B Millidge, T Salvatori, Y Song, T Lukasiewicz, R Bogacz International Conference on Machine Learning, 15561-15583, 2022 | 47 | 2022 |
| Reverse differentiation via predictive coding T Salvatori, Y Song, Z Xu, T Lukasiewicz, R Bogacz Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 8150-8158, 2022 | 33 | 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 | 19 | 2022 |
| Predictive coding: Towards a future of deep learning beyond backpropagation? B Millidge, T Salvatori, Y Song, R Bogacz, T Lukasiewicz arXiv preprint arXiv:2202.09467, 2022 | 40 | 2022 |
| Inferring neural activity before plasticity: A foundation for learning beyond backpropagation. bioRxiv Y Song, B Millidge, T Salvatori, T Lukasiewicz, Z Xu, R Bogacz Retrieved 2023-04-03, from https://www. biorxiv. org/content/10.1101/2022.05 …, 2022 | 7 | 2022 |
| Learning on Arbitrary Graph Topologies via Predictive Coding T Lukasiewicz, T Salvatori, Y Song | | 2022 |
Thomas LukasiewiczVienna University of Technology, Austria; University of Oxford, UKVerified email at tuwien.ac.at