| A theoretical framework for target propagation A Meulemans, F Carzaniga, J Suykens, J Sacramento, BF Grewe Advances in Neural Information Processing Systems 33, 2020 | 76 | 2020 |
| Credit assignment in neural networks through deep feedback control A Meulemans, M Tristany Farinha, J García Ordóñez, P Vilimelis Aceituno, ... Advances in Neural Information Processing Systems 34, 4674-4687, 2021 | 38 | 2021 |
| Continual Learning in Recurrent Neural Networks B Ehret, C Henning, MR Cervera, A Meulemans, J von Oswald, BF Grewe International Conference on Representation Learning (ICLR 2021), 2020 | 36 | 2020 |
| Neural networks with late-phase weights J von Oswald, S Kobayashi, J Sacramento, A Meulemans, C Henning, ... International Conference on Learning Representation (ICLR 2021), arXiv: 2007 …, 2020 | 35 | 2020 |
| The least-control principle for local learning at equilibrium A Meulemans, N Zucchet, S Kobayashi, J Von Oswald, J Sacramento Advances in Neural Information Processing Systems 35, 33603-33617, 2022 | 21 | 2022 |
| Minimizing control for credit assignment with strong feedback A Meulemans, MT Farinha, MR Cervera, J Sacramento, BF Grewe International Conference on Machine Learning, 15458-15483, 2022 | 11 | 2022 |
| Challenges for Using Impact Regularizers to Avoid Negative Side Effects D Lindner, K Matoba, A Meulemans arXiv preprint arXiv:2101.12509, 2021 | 7 | 2021 |
| Learning probability distributions of sensory inputs with Monte Carlo Predictive Coding G Oliviers, R Bogacz, A Meulemans bioRxiv, 2024.02. 29.581455, 2024 | 4 | 2024 |
| Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis A Meulemans, S Schug, S Kobayashi, N Daw, G Wayne Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Structured Entity Extraction Using Large Language Models H Wu, Y Yuan, L Mikaelyan, A Meulemans, X Liu, J Hensman, B Mitra arXiv preprint arXiv:2402.04437, 2024 | 3 | 2024 |
| Neural network circuit for deep artificial neuronal networks using deep feedback control AME Meulemans, BF Grewe, MT Farinha, JG Ordonez, JR Sacramento, ... US Patent App. 18/570,029, 2024 | | 2024 |
| Towards a mathematical understanding of biologically plausible learning methods for deep neural networks A Meulemans | | |
