Sacramento, João

16 publications

ICLR 2025 Attention as a Hypernetwork Simon Schug, Seijin Kobayashi, Yassir Akram, Joao Sacramento, Razvan Pascanu

ICLR 2025 Multi-Agent Cooperation Through Learning-Aware Policy Gradients Alexander Meulemans, Seijin Kobayashi, Johannes von Oswald, Nino Scherrer, Eric Elmoznino, Blake Aaron Richards, Guillaume Lajoie, Blaise Aguera y Arcas, Joao Sacramento

ICLR 2024 Discovering Modular Solutions That Generalize Compositionally Simon Schug, Seijin Kobayashi, Yassir Akram, Maciej Wolczyk, Alexandra Maria Proca, Johannes von Oswald, Razvan Pascanu, Joao Sacramento, Angelika Steger

NeurIPS 2023 Online Learning of Long-Range Dependencies Nicolas Zucchet, Robert Meier, Simon Schug, Asier Mujika, Joao Sacramento

ICML 2023 Transformers Learn In-Context by Gradient Descent Johannes Von Oswald, Eyvind Niklasson, Ettore Randazzo, Joao Sacramento, Alexander Mordvintsev, Andrey Zhmoginov, Max Vladymyrov

NeurIPS 2022 A Contrastive Rule for Meta-Learning Nicolas Zucchet, Simon Schug, Johannes von Oswald, Dominic Zhao, João Sacramento

ICML 2022 Minimizing Control for Credit Assignment with Strong Feedback Alexander Meulemans, Matilde Tristany Farinha, Maria R. Cervera, João Sacramento, Benjamin F. Grewe

NeurIPS 2022 The Least-Control Principle for Local Learning at Equilibrium Alexander Meulemans, Nicolas Zucchet, Seijin Kobayashi, Johannes von Oswald, João Sacramento

NeurIPS 2021 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

ICLRW 2021 Learning Where to Learn Dominic Zhao, Nicolas Zucchet, Joao Sacramento, Johannes von Oswald

NeurIPS 2021 Learning Where to Learn: Gradient Sparsity in Meta and Continual Learning Johannes von Oswald, Dominic Zhao, Seijin Kobayashi, Simon Schug, Massimo Caccia, Nicolas Zucchet, João Sacramento

ICLR 2021 Neural Networks with Late-Phase Weights Johannes von Oswald, Seijin Kobayashi, Joao Sacramento, Alexander Meulemans, Christian Henning, Benjamin F Grewe

NeurIPS 2021 Posterior Meta-Replay for Continual Learning Christian Henning, Maria Cervera, Francesco D'Angelo, Johannes von Oswald, Regina Traber, Benjamin Ehret, Seijin Kobayashi, Benjamin F. Grewe, João Sacramento

NeurIPS 2020 A Theoretical Framework for Target Propagation Alexander Meulemans, Francesco Carzaniga, Johan Suykens, João Sacramento, Benjamin F. Grewe

ICLR 2020 Continual Learning with Hypernetworks Johannes von Oswald, Christian Henning, João Sacramento, Benjamin F. Grewe

NeurIPS 2018 Dendritic Cortical Microcircuits Approximate the Backpropagation Algorithm João Sacramento, Rui Ponte Costa, Yoshua Bengio, Walter Senn