Minh Hai Nguyen
About News Publications Projects Teaching CV

News

  • Sep 21, 2026

    Gave a talk on “An analytic theory of convolutional neural network inverse problems solvers” at the Workshop on Principles and Methods in Generative Modeling of Complex Processes at IRIT, Toulouse.

  • Aug 30, 2026

    Co-organizing the new edition of the DeepInverse hackathon at CIRM, Marseille, 30 August – 2 September 2026, as one of the library’s maintainers.

  • Jul 8, 2026

    I will be attending ICML 2026 in Seoul, South Korea, 8–14 July. Come say hello at our poster — happy to chat about collaborations or research ideas.

  • Jun 21, 2026

    Attending the Peyresq 26 summer school on generative models: a week of lectures and tutorials on diffusion models, flow matching and optimal transport.

  • Jun 20, 2026

    Our paper “A Morse-Bott Framework for Blind Inverse Problems: Local Recovery Guarantees and the Failure of the MAP” has been accepted in the SIAM Journal on Imaging Sciences (SIIMS).

  • Apr 30, 2026

    Our paper “An analytic theory of convolutional neural network inverse problems solvers” has been accepted at ICML 2026.

  • Apr 7, 2026

    With Andrew Wang, presenting DeepInverse at the PyTorch Conference Europe 2026 in Paris.

  • Jan 4, 2026

    New preprint: “An analytic theory of convolutional neural network inverse problems solvers”. Under two structural constraints (translation equivariance and locality), we derive closed-form, interpretable expressions for trained CNN solvers and validate them across architectures and inverse problems.

  • Nov 5, 2025

    DeepInverse is now officially part of the PyTorch Ecosystem.

  • Aug 4, 2025

    New preprint: “A Morse-Bott Framework for Blind Inverse Problems: Local Recovery Guarantees and the Failure of the MAP”, studying blind deconvolution with state-of-the-art diffusion priors.

  • Mar 17, 2025

    Presenting a poster on blind deconvolution in optical microscopy at IABM 2025, and a talk at the IRIT PhD seminar.

  • Nov 27, 2024

    Representing the DeepInverse community to receive the Open Science Prize from the French Ministry of Higher Education and Research.

  • Nov 24, 2024

    New preprint: “Comparing Plug-and-Play and Unrolled networks” — a review of both approaches in a Bayesian framework, relating each to a statistical estimator.

  • Oct 28, 2024

    Participating in the DeepInverse hackathon at CIRM, Marseille, 28–29 October 2024: two days with contributors from across Europe adding imaging operators and diffusion samplers to DeepInverse.

  • Jun 16, 2024

    Our paper “DeepVibes: Correcting Micro-Vibrations in Satellite Imaging with Pushbroom Cameras” has been accepted in IEEE Transactions on Geoscience and Remote Sensing.

© 2026 Minh Hai Nguyen · Built with Jekyll, hosted on GitHub Pages.