Alexander Meulemans
Position:
PhD Student --
ended Jun 2022
Email:
ameulema@ini.ethz.ch
Work phone:
Curious about how the world works, I started a bachelor's in Engineering Sciences at KU Leuven in 2014. During these studies, I gravitated towards the mathematical ingenuity of modelling this world and creating new learning systems and that is why I started a master of Mathematical Engineering, also at KU Leuven. In my exchange and master thesis at ETH Zürich, I got excited about the synergy of neuroscience and artificial intelligence, leading me to start a PhD at the lab of prof. Benjamin Grewe in ETH Zürich in October 2019. Through mathematics, machine learning and neuroscience I want to provide a creative and fresh view on the 'intelligence' part of the artificial intelligence field and more specifically on how memory systems can help making AI systems more intelligent. Besides my love for science, I'm a passionate musician and I'm busy with discovering as much of the beautiful Swiss Alps as possible.
Supervisor
Benjamin Grewe
Publications
2021
Alexander Meulemans, Matilde Tristany Farinha, Javier García Ordóñez, Pau Vilimelis Aceituno, João Sacramento, Benjamin F. Grewe
Credit Assignment in Neural Networks through Deep Feedback Control
,
35th Conference on Neural Information Processing Systems (NeurIPS)
, 2021
Benjamin Ehret, Christian Henning, Maria R. Cervera, Alexander Meulemans, Johannes von Oswald, Benjamin F. Grewe
Continual Learning in Recurrent Neural Networks
,
International Conference on Learning Representations
, 2021
David Lindner, Kyle Matoba, Alexander Meulemans
Challenges for Using Impact Regularizers to Avoid Negative Side Effects
,
35th AAAI Conference on Artificial Intelligence, workshop on Artificial Intelligence Safety
, 2021
Johannes von Oswald, Seijin Kobayashi, Alexander Meulemans, Christian Henning, Benjamin F. Grewe, Joao Sacramento
Neural networks with late-phase weights
,
International Conference on Learning Representations
, 2021
2020
Alexander Meulemans, Francesco S. Carzaniga, Johan A.K. Suykens, João Sacramento, Benjamin F. Grewe
A Theoretical Framework for Target Propagation
,
Advances in Neural Information Processing Systems
, 33:, 2020
back
back