Hi there. 👋 I'm a PhD student at
ENSL and Foxstream,
working on self-supervised learning for imaging inverse problems including image super-resolution and deblurring, and most specifically focused on adapting equivariant imaging techniques to scale-invariance. Feel free to contact me if you have any question.
"Aren’t programs simpler than logical formulas? The answer is no. Logic is the formalization of everyday mathematics, and everyday mathematics is simpler than programs."
— Leslie Lamport (1994)
— Leslie Lamport (1994)
Talks
Scale-Equivariant Imaging: Self-Supervised Learning for Image Super-Resolution and Deblurring
May 13, 2025, GdR IASIS, INRIA Paris
Image Deblurring and Super-Resolution by Learning from Blurry and Low-Resolution Images Only
July 9, 2024 at ENSL
Research
Self-Supervised Learning for Image Super-Resolution and Deblurring
Jérémy Scanvic, Mike Davies, Patrice Abry, Julián Tachella
arXiv 2023
Jérémy Scanvic, Mike Davies, Patrice Abry, Julián Tachella
arXiv 2023
Contributed projects
Deep Inverse
- An open-source PyTorch library for solving imaging inverse problems using deep learning
- Written by Julián Tachella, Dongdong Chen, Samuel Hurault and Matthieu Terris
Equational Theories
- A collaborative research project in Universal Algebra
- Lead by Terrence Tao
Personal projects
Spectrogram
- A real-time spectrogram running in the browser
- Featured at la Fête de la Science (2024)