| A theoretical framework for target propagation A Meulemans, F Carzaniga, J Suykens, J Sacramento, BF Grewe NeurIPS 2020 (spotlight), 2020 | 87 | 2020 |
| Uncovering mesa-optimization algorithms in transformers J Von Oswald, M Schlegel, A Meulemans, S Kobayashi, E Niklasson, ... arXiv preprint arXiv:2309.05858, 2023 | 67* | 2023 |
| 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 | 48 | 2020 |
| Credit assignment in neural networks through deep feedback control A Meulemans, M Tristany Farinha, J García Ordóñez, P Vilimelis Aceituno, ... NeurIPS 2021 (spotlight), 2021 | 45 | 2021 |
| 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 | 38 | 2020 |
| The least-control principle for local learning at equilibrium A Meulemans, N Zucchet, S Kobayashi, J Von Oswald, J Sacramento NeurIPS 2022 (oral), 2022 | 28 | 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 | 14 | 2022 |
| Learning to Extract Structured Entities Using Language Models H Wu, Y Yuan, L Mikaelyan, A Meulemans, X Liu, J Hensman, B Mitra Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 7* | 2024 |
| 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 PLOS Computational Biology 20 (10), e1012532, 2024 | 5 | 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 NeurIPS 2023 (spotlight), 2024 | 5 | 2024 |
| Multi-agent cooperation through learning-aware policy gradients A Meulemans, S Kobayashi, J von Oswald, N Scherrer, E Elmoznino, ... arXiv preprint arXiv:2410.18636, 2024 | 1 | 2024 |
| Control-based theories for credit assignment in neural networks and reinforcement learning A Meulemans ETH Zurich, 2024 | | 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 | | 2019 |
