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Chapel Laetitia

2 accepted papers

2026

Vision Transformer Finetuning Benefits from Non-Smooth Components

ICML 2026poster

The smoothness of the transformer architecture has been extensively studied in the context of generalization, training stability, and adversarial robustness. However, its role in transfer learning remains poorly understood. In this paper, we analyze the ability of vision transformer components to ad…

Cited by 0SourceScholar
2019

Optimal Transport for structured data with application on graphs

ICML 2019oral

This work considers the problem of computing distances between structured objects such as undirected graphs, seen as probability distributions in a specific metric space. We consider a new transportation distance ( i.e. that minimizes a total cost of transporting probability masses) that unveils the…

Cited by 207SourcePDFScholar