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Anne Gagneux

2 accepted papers

2025

On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity

NeurIPS 2025oral

Modern deep generative models can now produce high-quality synthetic samples that are often indistinguishable from real training data. A growing body of research aims to understand why recent methods, such as diffusion and flow matching techniques, generalize so effectively. Among the proposed expla…

Cited by 0SourceScholar
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…