Moufad, Badr

5 publications

ICML 2025 A Mixture-Based Framework for Guiding Diffusion Models Yazid Janati, Badr Moufad, Mehdi Abou El Qassime, Alain Oliviero Durmus, Eric Moulines, Jimmy Olsson

MLOSS 2025 Skglm: Improving Scikit-Learn for Regularized Generalized Linear Models Badr Moufad, Pierre-Antoine Bannier, Quentin Bertrand, Quentin Klopfenstein, Mathurin Massias

ICLR 2025 Variational Diffusion Posterior Sampling with Midpoint Guidance Badr Moufad, Yazid Janati, Lisa Bedin, Alain Oliviero Durmus, Randal Douc, Eric Moulines, Jimmy Olsson

NeurIPS 2024 Divide-and-Conquer Posterior Sampling for Denoising Diffusion Priors Yazid Janati, Badr Moufad, Alain Durmus, Eric Moulines, Jimmy Olsson

NeurIPS 2022 Benchopt: Reproducible, Efficient and Collaborative Optimization Benchmarks Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupre la Tour, Ghislain Durif, Cassio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter