publications

2025

2025

  1. TMLR
    Learning few-step posterior samplers by unfolding and distillation of diffusion models
    Charlesquin Kemajou Mbakam, Marcelo Pereyra, and Jonathan Spence
    Transactions on Machine Learning Research, 2025

2024

2024

  1. SIAM
    Marginal Likelihood Estimation in Semiblind Image Deconvolution: A Stochastic Approximation Approach
    Charlesquin Kemajou Mbakam, Marcelo Pereyra, and Jean-François Giovannelli
    SIAM Journal on Imaging Sciences, 2024
  2. JMIV
    Empirical Bayesian image restoration by Langevin sampling with a denoising diffusion implicit prior
    Charlesquin Kemajou Mbakam, Jean-Francois Giovannelli, and Marcelo Pereyra
    arXiv preprint arXiv:2409.04384, 2024
  3. ARXIV
    Do Bayesian imaging methods report trustworthy probabilities?
    David YW Thong, Charlesquin Kemajou Mbakam, and Marcelo Pereyra
    arXiv preprint arXiv:2405.08179, 2024