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Ségolène Tiffany Martin

2 accepted papers

2025

PnP-Flow: Plug-and-Play Image Restoration with Flow Matching

ICLR 2025poster

In this paper, we introduce Plug-and-Play (PnP) Flow Matching, an algorithm for solving imaging inverse problems. PnP methods leverage the strength of pre-trained denoisers, often deep neural networks, by integrating them in optimization schemes. While they achieve state-of-the-art performance on va…

2022

Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference

NeurIPS 2022accept

Standard few-shot benchmarks are often built upon simplifying assumptions on the query sets, which may not always hold in practice. In particular, for each task at testing time, the classes effectively present in the unlabeled query set are known a priori, and correspond exactly to the set of classe…