A presentation of my work on bi-level problems and Deep EQuilibrium networks: SHINE.
Numerical validation is at the core of machine learning research as it allows to assess the actual impact of new methods, and to confirm the agreement between theory and practice. Yet, the rapid development of the field poses several challenges: …
Small tutorial talk on the use of Hydra and Weights&Biases on Jean Zay.
My PhD defense (the video is actually a rehearsal since the live did not work during the actual presentation).
A presentation of my personal experience with the Jean Zay supercomputer.
A presentation of my network for MRI reconstruction: the XPDNet.
A presentation of my network for MRI reconstruction: the XPDNet.
A presentation of my work entitled "Wavelets in the deep learning era" in the Interpretable Machine Learning session.
A presentation of my network for MRI reconstruction: the XPDNet.
A presentation of my network for Uncertainty Quantification in Inverse Problems with Denoising Score Matching.