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Alexander Meulemans

Institute of Neuroinformatics, ETH Zürich and University of Zürich, Zürich, Switzerland

The least-control principle for learning at equilibrium

Jul 04, 2022
Alexander Meulemans, Nicolas Zucchet, Seijin Kobayashi, Johannes von Oswald, João Sacramento

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* 52 pages, 3 figures

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Minimizing Control for Credit Assignment with Strong Feedback

Apr 14, 2022
Alexander Meulemans, Matilde Tristany Farinha, Maria R. Cervera, João Sacramento, Benjamin F. Grewe

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* 25 pages, 3 figures

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Credit Assignment in Neural Networks through Deep Feedback Control

Jun 15, 2021
Alexander Meulemans, Matilde Tristany Farinha, Javier García Ordóñez, Pau Vilimelis Aceituno, João Sacramento, Benjamin F. Grewe

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* 14 pages and 3 figures in the main manuscript; 45 pages and 14 figures in the supplementary materials

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Challenges for Using Impact Regularizers to Avoid Negative Side Effects

Feb 23, 2021
David Lindner, Kyle Matoba, Alexander Meulemans

* Presented at the SafeAI workshop at AAAI 2021

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A Theoretical Framework for Target Propagation

Jun 25, 2020
Alexander Meulemans, Francesco S. Carzaniga, Johan A. K. Suykens, João Sacramento, Benjamin F. Grewe

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* 12 pages and 4 figures in main manuscript; 38 pages and 6 figures in supplementary material

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Continual Learning in Recurrent Neural Networks with Hypernetworks

Jun 22, 2020
Benjamin Ehret, Christian Henning, Maria R. Cervera, Alexander Meulemans, Johannes von Oswald, Benjamin F. Grewe

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* 13 pages and 4 figures in the main text; 20 pages and 2 figures in the supplementary materials

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