Simon Schug

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Autonomous Agents

Grammatical Evolution

Online Learning Environments

Top Venues

EvoApplications

Publications

Simon Schug, Seijin Kobayashi, Yassir Akram, João Sacramento, Razvan Pascanu
Attention as a Hypernetwork. CoRR (2024)
Seijin Kobayashi, Simon Schug, Yassir Akram, Florian Redhardt, Johannes von Oswald, Razvan Pascanu, Guillaume Lajoie, João Sacramento
When can transformers compositionally generalize in-context? CoRR (2024)
Simon Schug, Seijin Kobayashi, Yassir Akram, Maciej Wolczyk, Alexandra Proca, Johannes von Oswald, Razvan Pascanu, João Sacramento, Angelika Steger
Discovering modular solutions that generalize compositionally. ICLR (2024)
Alexander Meulemans, Simon Schug, Seijin Kobayashi, Nathaniel Daw, Gregory Wayne
Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis. NeurIPS (2023)
Alexander Meulemans, Simon Schug, Seijin Kobayashi, Nathaniel Daw, Gregory Wayne
Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis. CoRR (2023)
Nicolas Zucchet, Robert Meier, Simon Schug, Asier Mujika, João Sacramento
Online learning of long-range dependencies. NeurIPS (2023)
Simon Schug, Seijin Kobayashi, Yassir Akram, Maciej Wolczyk, Alexandra Proca, Johannes von Oswald, Razvan Pascanu, João Sacramento, Angelika Steger
Discovering modular solutions that generalize compositionally. CoRR (2023)
Nicolas Zucchet, Robert Meier, Simon Schug, Asier Mujika, João Sacramento
Online learning of long-range dependencies. CoRR (2023)
Frederik Benzing, Simon Schug, Robert Meier, Johannes von Oswald, Yassir Akram, Nicolas Zucchet, Laurence Aitchison, Angelika Steger
Random initialisations performing above chance and how to find them. CoRR (2022)
Nicolas Zucchet, Simon Schug, Johannes von Oswald, Dominic Zhao, João Sacramento
A contrastive rule for meta-learning. NeurIPS (2022)
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. NeurIPS (2021)
Nicolas Zucchet, Simon Schug, Johannes von Oswald, Dominic Zhao, João Sacramento
A contrastive rule for meta-learning. CoRR (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. CoRR (2021)
Ahmed Hallawa, Simon Schug, Giovanni Iacca, Gerd Ascheid
Evolving Instinctive Behaviour in Resource-Constrained Autonomous Agents Using Grammatical Evolution. EvoApplications (2020)