Schug, Simon

8 publications

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

NeurIPS 2025 Scaling Can Lead to Compositional Generalization Florian Redhardt, Yassir Akram, Simon Schug

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

NeurIPS 2023 Would I Have Gotten That Reward? Long-Term Credit Assignment by Counterfactual Contribution Analysis Alexander Meulemans, Simon Schug, Seijin Kobayashi, Nathaniel Daw, Gregory Wayne

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 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