Zucchet, Nicolas

8 publications

NeurIPS 2025 The Emergence of Sparse Attention: Impact of Data Distribution and Benefits of Repetition Nicolas Zucchet, Francesco D'Angelo, Andrew Kyle Lampinen, Stephanie C.Y. Chan

NeurIPS 2024 Recurrent Neural Networks: Vanishing and Exploding Gradients Are Not the End of the Story Nicolas Zucchet, Antonio Orvieto

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

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

NeurIPSW 2022 Random Initialisations Performing Above Chance and How to Find Them Frederik Benzing, Simon Schug, Robert Meier, Johannes von Oswald, Yassir Akram, Nicolas Zucchet, Laurence Aitchison, Angelika Steger

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

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