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

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!
Jan 04, 2026 New pre-print titled “An analytic theory of convolutional neural network inverse problems solvers”. We derive an analytical theory of convolutional neural network (CNN) inverse problems solvers: under 2 structural constraints, we found analytical, interpretable, and closed-form solutions to the CNN inverse problems solvers. We validate our theory on a large class of CNN architectures and inverse problems.
Nov 05, 2025 Our DeepInv library is now officially part of the Pytorch Ecosystem
Aug 04, 2025 New pre-print titled “How Diffusion Prior Landscapes Shape the Posterior in Blind Deconvolution”. We study the problem of blind deconvolution with state-of-the-art diffusion models as prior.