🏢 École Polytechnique

Strategic data contributors with varying data quality can cause collaborative learning systems to ‘unravel’, but a novel probabilistic verification method effectively mitigates this, ensuring a stable…

Novel theoretical guarantees for Diffusion Flow Matching (DFM) models are established, bounding the KL divergence under mild assumptions on data and base distributions.

Novel generative models based on piecewise deterministic Markov processes (PDMPs) are introduced, offering efficient training procedures and theoretical guarantees, surpassing diffusion-based models i…