3 papers
cs.AI2025
Out-of-Distribution Generalization in the ARC-AGI Domain: Comparing Execution-Guided Neural Program Synthesis and Test-Time Fine-Tuning
Simon Ouellette
We run a controlled compositional generalization experiment in the ARC-AGI domain: an open-world problem domain in which the ability to generalize out-of-distribution is, by design…
cs.AI2024
Towards Efficient Neurally-Guided Program Induction for ARC-AGI
Simon Ouellette
ARC-AGI is an open-world problem domain in which the ability to generalize out-of-distribution is a crucial quality. Under the program induction paradigm, we present a series of ex…
cs.LG2023
Counting and Algorithmic Generalization with Transformers
Simon Ouellette, Rolf Pfister, Hansueli Jud
Algorithmic generalization in machine learning refers to the ability to learn the underlying algorithm that generates data in a way that generalizes out-of-distribution. This is ge…