Alexander Meulemans, Nicolas Zucchet, Seijin Kobayashi, Johannes von Oswald, João Sacramento The least-control principle for learning at equilibrium, arXiv, 35:, 2022

Nicolas Zucchet, João Sacramento Beyond backpropagation: implicit gradients for bilevel optimization, Neural Computation, 2022

Nicolas Zucchet*, Simon Schug*, Johannes von Oswald*, Dominic Zhao, João Sacramento A contrastive rule for meta-learning, Advances in Neural Information Processing Systems 36 (NeurIPS 2022), 2022

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

Christian Henning, Maria R. Cervera, Francesco D'Angelo, Johannes von Oswald, Regina Traber, Benjamin Ehret, Seijin Kobayashi, Benjamin F. Grewe, João Sacramento Posterior Meta-Replay for Continual Learning, Conference on Neural Information Processing Systems 2021, 2021

Jakob Jordan, João Sacramento, Willem Wybo, Mihai Petrovici, Walter Senn Learning Bayes-optimal dendritic opinion pooling, arXiv(2104.13238), 2021

Johannes von Oswald*, Dominic Zhao*, Seijin Kobayashi, Simon Schug, Massimo Caccia, Nicolas Zucchet, João Sacramento Learning where to learn: Gradient sparsity in meta and continual learning, Advances in Neural Information Processing Systems 35 (NeurIPS 2021) , 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

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

Dominic Zhao, Seijin Kobayashi, João Sacramento, Johannes von Oswald Meta-Learning via Hypernetworks, 4th Workshop on Meta-Learning at NeurIPS 2020, Vancouver, Canada., 2020

Johannes von Oswald, Christian Henning, Benjamin F. Grewe, João Sacramento Continual learning with hypernetworks, International Conference on Learning Representations (spotlight), 2020

Blake A. Richards, Timothy P. Lillicrap, Philippe Beaudoin, Yoshua Bengio, Rafal Bogacz, Amelia Christensen, Claudia Clopath, Rui Ponte Costa, Archy de Berker, Surya Ganguli, Colleen J. Gillon, Danijar Hafner, Adam Kepecs, Nikolaus Kriegeskorte, Peter Latham, Grace W. Lindsay, Kenneth D. Miller, Richard Naud, Christopher C. Pack, Panayiota Poirazi, Pieter Roelfsema, João Sacramento, Andrew Saxe, Benjamin Scellier, Anna C. Schapiro, Walter Senn, Greg Wayne, Daniel Yamins, Friedemann Zenke, Joel Zylberberg, Denis Therien, Konrad P. Kording A deep learning framework for neuroscience, Nature Neuroscience, 22: 1761-1770, 2019

Henning, Christian and von Oswald, Johannes and Sacramento, Joao and Surace, Simone Carlo and Pfister, Jean-Pascal and Grewe, Benjamin F. Approximating the Predictive Distribution via Adversarially-Trained Hypernetworks, Bayesian Deep Learning Workshop, NeurIPS (Spotlight), 2018