Alexander Meulemans

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Negative Effects

Theoretical Framework

Reinforcement Learning

Top Venues

Publications

Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra
Structured Entity Extraction Using Large Language Models. CoRR (2024)
Alexander Meulemans, Simon Schug, Seijin Kobayashi, Nathaniel Daw, Gregory Wayne
Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis. NeurIPS (2023)
Alexander Meulemans, Simon Schug, Seijin Kobayashi, Nathaniel Daw, Gregory Wayne
Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis. CoRR (2023)
Alexander Meulemans, Nicolas Zucchet, Seijin Kobayashi, Johannes von Oswald, João Sacramento
The least-control principle for local learning at equilibrium. NeurIPS (2022)
Alexander Meulemans, Matilde Tristany Farinha, Maria R. Cervera, João Sacramento, Benjamin F. Grewe
Minimizing Control for Credit Assignment with Strong Feedback. ICML (2022)
Alexander Meulemans, Matilde Tristany Farinha, Maria R. Cervera, João Sacramento, Benjamin F. Grewe
Minimizing Control for Credit Assignment with Strong Feedback. CoRR (2022)
Alexander Meulemans, Nicolas Zucchet, Seijin Kobayashi, Johannes von Oswald, João Sacramento
The least-control principle for learning at equilibrium. CoRR (2022)
David Lindner, Kyle Matoba, Alexander Meulemans
Challenges for Using Impact Regularizers to Avoid Negative Side Effects. CoRR (2021)
Johannes von Oswald, Seijin Kobayashi, João Sacramento, Alexander Meulemans, Christian Henning, Benjamin F. Grewe
Neural networks with late-phase weights. ICLR (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. NeurIPS (2021)
David Lindner, Kyle Matoba, Alexander Meulemans
Challenges for Using Impact Regularizers to Avoid Negative Side Effects. SafeAI@AAAI (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. CoRR (2021)
Benjamin Ehret, Christian Henning, Maria R. Cervera, Alexander Meulemans, Johannes von Oswald, Benjamin F. Grewe
Continual learning in recurrent neural networks. ICLR (2021)
Benjamin Ehret, Christian Henning, Maria R. Cervera, Alexander Meulemans, Johannes von Oswald, Benjamin F. Grewe
Continual Learning in Recurrent Neural Networks with Hypernetworks. CoRR (2020)
Alexander Meulemans, Francesco S. Carzaniga, Johan A. K. Suykens, João Sacramento, Benjamin F. Grewe
A Theoretical Framework for Target Propagation. NeurIPS (2020)
Alexander Meulemans, Francesco S. Carzaniga, Johan A. K. Suykens, João Sacramento, Benjamin F. Grewe
A Theoretical Framework for Target Propagation. CoRR (2020)