Minh Hai Nguyen

Second year PhD candidate.

avatar.jpg

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

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.
Mar 17, 2025 Presenting the poster of our work on Blind Deconvolution in Optical Microscopy at IABM 2025 and giving talk at IRIT Seminar.
Nov 27, 2024 Representing the DeepInv community to receive the Open Science Prize organized by the Ministère de l’enseignement supérieur et de la recherche.