Publications

Clicking on any of the links below will redirect you to the abstract and details of my contributions.

Re-examining learning linear functions in context

Published in KI 2025, 2024

We challenge the prevailing narrative about how transformers learn linear functions in-context by exploring a simple controlled setup with synthetic data.

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Predictive Coding for Deep Neural Networks

Published in Travaux d’Initiation à la Recherche, Université Paul Sabatier, 2022

A university project review of a brain-inspired algorithm applied to deep neural networks.

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