Alexander Meulemans

25 papers A* 9Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-agent cooperation through in-context co-player inference.
CoRR
Marissa A. Weis, Maciej Wolczyk, Rajai Nasser, Rif A. Saurous, Blaise Agüera y Arcas, João Sacramento, Alexander Meulemans
2025 J jnl
Embedded Universal Predictive Intelligence: a coherent framework for multi-agent learning.
CoRR
Alexander Meulemans, Rajai Nasser, Maciej Wolczyk, Marissa A. Weis, Seijin Kobayashi, Blake A. Richards, Guillaume Lajoie, Angelika Steger, Marcus Hutter, James Manyika, Rif A. Saurous, João Sacramento, Blaise Agüera y Arcas
2025 J jnl
Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning.
CoRR
Seijin Kobayashi, Yanick Schimpf, Maximilian Schlegel, Angelika Steger, Maciej Wolczyk, Johannes von Oswald, Nino Scherrer, Kaitlin Maile, Guillaume Lajoie, Blake A. Richards, Rif A. Saurous, James Manyika, Blaise Agüera y Arcas, Alexander Meulemans, João Sacramento
2025 J jnl
MesaNet: Sequence Modeling by Locally Optimal Test-Time Training.
CoRR
Johannes von Oswald, Nino Scherrer, Seijin Kobayashi, Luca Versari, Songlin Yang, Maximilian Schlegel, Kaitlin Maile, Yanick Schimpf, Oliver Sieberling, Alexander Meulemans, Rif A. Saurous, Guillaume Lajoie, Charlotte Frenkel, Razvan Pascanu, Blaise Agüera y Arcas, João Sacramento
2025 A* conf
Multi-agent cooperation through learning-aware policy gradients.
ICLR
Alexander Meulemans, Seijin Kobayashi, Johannes von Oswald, Nino Scherrer, Eric Elmoznino, Blake Aaron Richards, Guillaume Lajoie, Blaise Agüera y Arcas, João Sacramento
2024 — —
Control-based theories for credit assignment in neural networks and reinforcement learning.
Alexander Meulemans
2024 J jnl
Learning probability distributions of sensory inputs with Monte Carlo predictive coding.
PLoS Comput. Biol.
Gaspard Oliviers, Rafal Bogacz, Alexander Meulemans
2024 A* conf
Learning to Extract Structured Entities Using Language Models.
EMNLP
Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra
2024 J jnl
Multi-agent cooperation through learning-aware policy gradients.
CoRR
Alexander Meulemans, Seijin Kobayashi, Johannes von Oswald, Nino Scherrer, Eric Elmoznino, Blake A. Richards, Guillaume Lajoie, Blaise Agüera y Arcas, João Sacramento
2024 J jnl
Structured Entity Extraction Using Large Language Models.
CoRR
Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra
2023 A* conf
Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis.
NeurIPS
Alexander Meulemans, Simon Schug, Seijin Kobayashi, Nathaniel D. Daw, Gregory Wayne
2023 J jnl
Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis.
CoRR
Alexander Meulemans, Simon Schug, Seijin Kobayashi, Nathaniel D. Daw, Gregory Wayne
2022 A* conf
Minimizing Control for Credit Assignment with Strong Feedback.
ICML
Alexander Meulemans, Matilde Tristany Farinha, Maria R. Cervera, João Sacramento, Benjamin F. Grewe
2022 J jnl
Minimizing Control for Credit Assignment with Strong Feedback.
CoRR
Alexander Meulemans, Matilde Tristany Farinha, Maria R. Cervera, João Sacramento, Benjamin F. Grewe
2022 J jnl
The least-control principle for learning at equilibrium.
CoRR
Alexander Meulemans, Nicolas Zucchet, Seijin Kobayashi, Johannes von Oswald, João Sacramento
2022 A* conf
The least-control principle for local learning at equilibrium.
NeurIPS
Alexander Meulemans, Nicolas Zucchet, Seijin Kobayashi, Johannes von Oswald, João Sacramento
2021 — conf
Challenges for Using Impact Regularizers to Avoid Negative Side Effects.
SafeAI@AAAI
David Lindner, Kyle Matoba, Alexander Meulemans
2021 J jnl
Challenges for Using Impact Regularizers to Avoid Negative Side Effects.
CoRR
David Lindner, Kyle Matoba, Alexander Meulemans
2021 A* conf
Continual learning in recurrent neural networks.
ICLR
Benjamin Ehret, Christian Henning, Maria R. Cervera, Alexander Meulemans, Johannes von Oswald, Benjamin F. Grewe
2021 A* conf
Credit Assignment in Neural Networks through Deep Feedback Control.
NeurIPS
Alexander Meulemans, Matilde Tristany Farinha, Javier García Ordóñez, Pau Vilimelis Aceituno, João Sacramento, Benjamin F. Grewe
2021 J jnl
Credit Assignment in Neural Networks through Deep Feedback Control.
CoRR
Alexander Meulemans, Matilde Tristany Farinha, Javier García Ordóñez, Pau Vilimelis Aceituno, João Sacramento, Benjamin F. Grewe
2021 A* conf
Neural networks with late-phase weights.
ICLR
Johannes von Oswald, Seijin Kobayashi, João Sacramento, Alexander Meulemans, Christian Henning, Benjamin F. Grewe
2020 A* conf
A Theoretical Framework for Target Propagation.
NeurIPS
Alexander Meulemans, Francesco S. Carzaniga, Johan A. K. Suykens, João Sacramento, Benjamin F. Grewe
2020 J jnl
A Theoretical Framework for Target Propagation.
CoRR
Alexander Meulemans, Francesco S. Carzaniga, Johan A. K. Suykens, João Sacramento, Benjamin F. Grewe
2020 J jnl
Continual Learning in Recurrent Neural Networks with Hypernetworks.
CoRR
Benjamin Ehret, Christian Henning, Maria R. Cervera, Alexander Meulemans, Johannes von Oswald, Benjamin F. Grewe