Badr MOUFAD

5 papers · 2022–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 👥 Mega-Team · Squad

Venues

NeurIPS (2) ICLR (1) ICML (1) JMLR (1)

Top co-authors

Jimmy Olsson (3) Yazid Janati (3) Eric Moulines (3) Pierre-Antoine Bannier (2) Mathurin Massias (2) Alain Oliviero Durmus (2) Quentin Klopfenstein (2) Tom Dupré la Tour (1) Joseph Salmon (1) Cassio F. Dantas (1)

Research topics

Machine Learning (5) Optimization & Theory (5) Deep Learning (3) Models (3) Computer Vision (1) Application Areas (1) Learning Types (1) Processing (1)

Keywords

bayesian inverse problem (2) posterior sampling (2) diffusion model (2) logistic regression (1) model fitting (1) group lasso (1) markov chain monte carlo (1) gibbs sampling (1) regularized regression (1) audio source separation (1) approximation error (1) posterior approximation (1) inverse problem (1) generalized linear model (1) high-dimensional data (1) denoising diffusion model (1) collaborative framework (1) optimization benchmark (1) resnet training (1) electrocardiogram reconstruction (1)

Papers

A Mixture-Based Framework for Guiding Diffusion Models ICML 2025 skglm: Improving scikit-learn for Regularized Generalized Linear Models JMLR 2025 Variational Diffusion Posterior Sampling with Midpoint Guidance ICLR 2025 Divide-and-Conquer Posterior Sampling for Denoising Diffusion priors NeurIPS 2024 Benchopt: Reproducible, efficient and collaborative optimization benchmarks NeurIPS 2022