← Search

Joséphine Raugel

2 accepted papers

2026

Disentangling the Factors of Convergence between Brains and Computer Vision Models

ICLR 2026poster

Many AI models trained on natural images develop representations that resemble those of the human brain. However, the factors that drive this brain-model similarity remain poorly understood. To disentangle how the model, training and data independently lead a neural network to develop brain-like rep…

Cited by 0SourceScholar
2025

Scaling and context steer LLMs along the same computational path as the human brain

NeurIPS 2025spotlight

Recent studies suggest that the representations learned by large language models (LLMs) are partially aligned to those of the human brain. However, whether this representational alignment arises from a similar sequence of computations remains elusive. In this study, we explore this question by ex…

Cited by 0SourceScholar