Comparison of Two Meta-heuristics for the Bi-objective Flexible Job Shop Scheduling Problem with Sequence Dependent Setup Times

von Sacramento, Joao
Veröffentlicht in European Symposium on Computer Aided Process Engineering (30. : 2020 : Mailand) 30th European Symposium on Computer Aided Process Engineering ; Part A (2020)

The least-control principle for local learning at equilibrium

von Meulemans, Alexander
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 44 of 50 (2023)

A contrastive rule for meta-learning

von Zucchet, Nicolas
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 34 of 50 (2023)

A THEORETICAL FRAMEWORK FOR TARGET PROPAGATION

von Meulemans, Alexander
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 24 of 27 (2021)

Minimizing Control for Credit Assignment with Strong Feedback

von Meulemans, Alexander
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 19 of 33 (2023)

Learning where to learn: Gradient sparsity in meta and continual learning

von von Oswald, Johannes
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 7 of 36 (2022)

Credit Assignment in Neural Networks through Deep Feedback Control

von Meulemans, Alexander
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 6 of 36 (2022)

Posterior Meta-Replay for Continual Learning

von Henning, Christian
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 17 of 36 (2022)