Projects
Research

Equivariant Splitting: Self-supervised learning from incomplete data
Victor Sechaud, Jérémy Scanvic, Quentin Barthélemy, Patrice Abry, Julián Tachella
ICLR, 2026

Scale-Equivariant Imaging: Self-Supervised Learning for Image Super-Resolution and Deblurring
Jérémy Scanvic, Mike Davies, Patrice Abry, Julián Tachella
IEEE TCI, 2026

Prefix Palindromic Length of the Sierpinski Word
Dora V. Bulgakova, Anna E. Frid, Jérémy Scanvic
LNCS, 2022
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 Terence Tao
Personal projects

Spectrogram