Minh Hai Nguyen

Last year PhD candidate.

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Office 2031

Centre de Biologie Intégrative

Toulouse, France

I’m currently a 3rd year PhD student in Image Processing and Applied Mathematics at the University of Toulouse, France. I’m under the supervision of Prof. Pierre Weiss and Prof. Edouard Pauwels. My research focuses on inverse problems and computational imaging, particularly for microscopy. I also explore diffusion models and actively contribute to open‑source software.

news

Jul 08, 2026 I will be attending the ICML 2026 conference in Seoul, South Korea, from 8-14 July 2026. If you are attending the conference, please feel free to reach out to me via email or come say hello at our poster. I would be happy to meet and discuss potential collaborations or research ideas.
Jun 21, 2026 I’m attending the Peyresq 26 summer school on Generative Models. A week-long event with lectures, tutorials, and discussions on the latest developments in generative modeling: diffusion models, flow matching and optimal transport.
Jun 20, 2026 Our paper titled “A Morse-Bott Framework for Blind Inverse Problems Local Recovery Guarantees and the Failure of the MAP” has been accepted for publication in SIAM Journal on Imaging Sciences (SIIMS).
Apr 30, 2026 Our paper titled “An analytic theory of convolutional neural network inverse problems solvers” has been accepted for publication in the proceedings of the International Conference on Machine Learning (ICML) 2026.
Apr 07, 2026 Together with Andrew Wang, we will be presenting our library DeepInverse at the PyTorch Conference Europe 2026 in Paris on April 07, 2026. Please come and say hi if you are attending the conference!