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Author

Christian Gagné

2 papers indexed here

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#artificial intelligence Preprint Sep 2026

SNIP++: Fine-Grained Symbolic-Numerical Alignment for Symbolic Regression

A compositional alignment method is introduced that closes much of the modality gap between symbolic and numerical embeddings, reliably distinguish the effects of local edits that the original alignment cannot, and transfer to external SR corpora.

Benjamin Léger, Shubham Gupta, S. Mammeri et al. · 0 citations
#machine learning Preprint Sep 2026

UltraBench 2: Towards Robust Evaluation of Vision Foundation Models on Ultrasound

This work introduces UltraBench 2, a comprehensive benchmark with wide anatomical and task coverage, and a focus on standardization, reproducibility, and ease-of-use, and demonstrates that ultrasound-specific pretraining still leads on classification, but that state-of-the-art general-purpose models have drawn level on...

Ashwath Radhachandran, Adam Tupper, Christian Gagné et al. · 0 citations

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