Badr Moufad

According to our database, Badr Moufad authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Bayesian Rain Field Reconstruction using Commercial Microwave Links and Diffusion Model Priors.

Badr Moufad, Albina Ilina, Hai Victor Habi, Salem Lahlou, Yazid Janati, Hagit Messer, Eric Moulines

CoRR, May, 2026

When Test-Time Guidance Is Enough: Fast Image and Video Editing with Diffusion Guidance.

Ahmed Ghorbel, Badr Moufad, Navid Bagheri Shouraki, Alain Oliviero Durmus, Thomas Hirtz, Eric Moulines, Jimmy Olsson, Yazid Janati

CoRR, February, 2026

2025

Efficient Zero-Shot Inpainting with Decoupled Diffusion Guidance.

Badr Moufad, Navid Bagheri Shouraki, Alain Oliviero Durmus, Thomas Hirtz, Eric Moulines, Jimmy Olsson, Yazid Janati

CoRR, December, 2025

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance.

Badr Moufad, Yazid Janati, Alain Durmus, Ahmed Ghorbel, Eric Moulines, Jimmy Olsson

CoRR, May, 2025

skglm: Improving scikit-learn for Regularized Generalized Linear Models.

Badr Moufad, Pierre-Antoine Bannier, Quentin Bertrand, Quentin Klopfenstein, Mathurin Massias

J. Mach. Learn. Res., 2025

A Mixture-Based Framework for Guiding Diffusion Models.

Yazid Janati, Badr Moufad, Mehdi Abou El Qassime, Alain Oliviero Durmus, Eric Moulines, Jimmy Olsson

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Variational Diffusion Posterior Sampling with Midpoint Guidance.

Badr Moufad, Yazid Janati, Lisa Bedin, Alain Oliviero Durmus, Randal Douc, Eric Moulines, Jimmy Olsson

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Divide-and-Conquer Posterior Sampling for Denoising Diffusion priors.

Yazid Janati, Badr Moufad, Alain Durmus, Eric Moulines, Jimmy Olsson

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2022

Benchopt: Reproducible, efficient and collaborative optimization benchmarks.

Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cássio 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022