ETH Zürich
Alexander Meulemans
Institut für Theoretische Informatik
CAB J 21.2
Universitätstrasse 6
8092 Zürich
The least-control principle for learning at equilibrium
Alexander Meulemans*, Nicolas Zucchet*, Seijin Kobayashi*, Johannes von Oswald, João Sacramento,
arXiv preprint, 2022.
Minimizing Control for Credit Assignment with Strong Feedback
Alexander Meulemans*, Matilde Tristany Farinha*, Maria R. Cervera*, João Sacramento, Benjamin F. Grewe,
ICML, 2022 (spotlight presentation).
Credit assignment in neural networks through deep feedback control
Alexander Meulemans*, Matilde Tristany Farinha*, Javier Garcia Ordonez, Pau Vilimelis Aceituno, João Sacramento, Benjamin F. Grewe,
NeurIPS, 2021 (spotlight presentation).
Challenges for Using Impact Regularizers to Avoid Negative Side Effects
David Lindner*, Kyle Matoba*,Alexander Meulemans*
SafeAI workshop - AAAI, 2021.
Neural networks with late-phase weights
Johannes von Oswald*, Seijin Kobayashi*,Alexander Meulemans, Christian Henning, Benjamin F. Grewe, João Sacramento
ICLR, 2021.
Continual Learning in Recurrent Neural Networks
Benjamin Ehret*, Christian Henning*, Maria R. Cervera*,Alexander Meulemans, Johannes von Oswald, Benjamin F. Grewe
ICLR, 2021.
A theoretical framework for target propagation
Alexander Meulemans, Francesco S. Carzaniga, Johan A.K. Suykens, João Sacramento, Benjamin F. Grewe
NeurIPS, 2020 (spotlight presentation).