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Alexander Meulemans
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A theoretical framework for target propagation
A Meulemans, F Carzaniga, J Suykens, J Sacramento, BF Grewe
Advances in Neural Information Processing Systems 33, 2020
652020
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
322020
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
252021
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
242020
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
142022
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
82022
Challenges for Using Impact Regularizers to Avoid Negative Side Effects
D Lindner, K Matoba, A Meulemans
arXiv preprint arXiv:2101.12509, 2021
62021
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
12024
Learning probability distributions of sensory inputs with Monte Carlo Predictive Coding
G Oliviers, R Bogacz, A Meulemans
bioRxiv, 2024.02. 29.581455, 2024
2024
Towards a mathematical understanding of biologically plausible learning methods for deep neural networks
A Meulemans
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Articles 1–10