معرفی
Mustapha Bounoua is a Postdoctoral Researcher at Eurecom specializing in generative modeling, multimodal learning, and diffusion models. His research focuses on advancing the theoretical and practical aspects of generative AI systems.
His research interests span generative modeling, multimodal learning, diffusion models, and information theory. Bounoua's work explores the intersection of theoretical machine learning principles with practical applications in representation learning and data generation.
Bounoua has published multiple papers at top-tier conferences, with a notable ICML 2024 oral presentation (top 1.5% of submissions) for his work on Score-based O-INFORMATION Estimation. His research demonstrates strong connections between information theory and modern deep generative models.
- ICML 2024 Oral Presentation (Top 1.5%)
As a postdoctoral researcher, Bounoua actively contributes to the academic community through his publications and research code, with implementations of MINDE, SΩI, and Multi-modal Latent Diffusion available on his GitHub profile.
