Simon Schug

According to our database, Simon Schug authored at least 11 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Are they human? Detecting large language models by probing human memory constraints.

Simon Schug, Brenden M. Lake

CoRR, April, 2026

2025

Scale leads to compositional generalization.

Florian Redhardt, Yassir Akram, Simon Schug

CoRR, July, 2025

Attention as a Hypernetwork.

Simon Schug, Seijin Kobayashi, Yassir Akram, João Sacramento, Razvan Pascanu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

When can transformers compositionally generalize in-context?

Seijin Kobayashi, Simon Schug, Yassir Akram, Florian Redhardt, Johannes von Oswald, Razvan Pascanu, Guillaume Lajoie, João Sacramento

CoRR, 2024

Discovering modular solutions that generalize compositionally.

Simon Schug, Seijin Kobayashi, Yassir Akram, Maciej Wolczyk, Alexandra Maria Proca, Johannes von Oswald, Razvan Pascanu, João Sacramento, Angelika Steger

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Online learning of long-range dependencies.

Nicolas Zucchet, Robert Meier, Simon Schug, Asier Mujika, João Sacramento

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis.

Alexander Meulemans, Simon Schug, Seijin Kobayashi, Nathaniel D. Daw, Gregory Wayne

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

CoRR, 2022

A contrastive rule for meta-learning.

Nicolas Zucchet, Simon Schug, Johannes von Oswald, Dominic Zhao, João Sacramento

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Evolving Instinctive Behaviour in Resource-Constrained Autonomous Agents Using Grammatical Evolution.

Ahmed Hallawa, Simon Schug, Giovanni Iacca, Gerd Ascheid

Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020