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Ferdinand Kapl

2 accepted papers

2026

Are Object-Centric Representations Better At Compositional Generalization?

ICML 2026poster

Compositional generalization, the ability to reason about novel combinations of familiar concepts, is fundamental to human cognition and a critical challenge for machine learning. Object-centric (OC) representations, which encode a scene as a set of objects, are often argued to support such generali…

Cited by 0SourceScholar
2026

From Growing to Looping: A Unified View of Iterative Computation in LLMs

ICML 2026poster

Looping, reusing a block of layers across depth, and depth growing, training shallow-to-deep models by duplicating middle layers, have both been linked to stronger reasoning, but their relationship remains unclear. We provide a mechanistic unification: looped and depth-grown models exhibit convergen…

Cited by 0SourceScholar