most citedMultilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience

1 citations · 1 across the 7 of their papers we have counts for

collaborators
Showing cs.AIShow all

2 papers · 1 filter

cs.AI2026

DiG-bench: Discovery in Games

Ruairidh M. Battleday, Kai Sandbrink, Jimi Cullen-Drohan +13

Discovery---formulating novel generalizations---is a central part of the scientific process. Despite its importance, there is a gap in the current AI benchmark landscape, with few…

cs.AI2024★ 1 cited

Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience

Zhonghao He, Jascha Achterberg, Katie Collins +13

As deep learning systems are scaled up to many billions of parameters, relating their internal structure to external behaviors becomes very challenging. Although daunting, this pro…