Mustapha Bounoua
Eurecom, Ampere Software Technology Sophia-Antipolis, France.
I am a PhD candidate in the department of Data Science at Eurecom and Ampere Software Technology. I am supervised by Prof Pietro Michiardi and Christophe Beaugeant. I graduated from Paris Descartes University with a Master degree in Computer science and I’m previously a graduate of a double degree in computer science at the higher school of computer science. I worked as a data scientist at Orange and completed several internships in Machine learning at Huawei, Opta-LP and Gen-42.
Research Interests: I have broad research interests in machine learning. Specifically, my research interests lie in:
Deep generative models. Multimodal Learning. Representation learning.
news
| May 2, 2024 | Our paper SΩI: Score-based O-INFORMATION Estimation has been accepted at ICML 2024 ! |
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| Apr 5, 2024 | Our paper Multi-modal Latent Diffusion has been accepted at Entropy’s special issue on Deep Generative Modeling: Theory and Applications, 2024 ! |
| Feb 9, 2024 | Check out our new paper SΩI: Score-based O-INFORMATION Estimation |
| Jan 16, 2024 | Our paper MINDE: Mutual Information Neural Diffusion Estimation has been accepted at ICLR 2024 ! |
| Nov 27, 2023 | Our paper Masked Multi-time Diffusion for Multi-modal Generative Modeling has been accepted at the NeurIPS Workshop on Diffusion Models 2023. Paper , Poster |