# Julian Tachella

julian.tachella@cnrs.fr

I am a research scientist at the French National Centre for Scientific Research CNRS, working at the Sisyph laboratory, École Normale Supérieure de Lyon (Lyon, France). My research lies at the intersection of signal processing and machine learning. I am particularly interested in the theory of imaging inverse problems and applications in computational imaging.

I am a lead developer of the deep inverse, a library for solving inverse problems with deep learning.

**Open PhD and master positions** can be found here.

**Code** and videos related to my publications can be found here.

## news

Jul 01, 2024 | We are presenting a 3-hour tutorial on self-supervised learning for imaging at EUSIPCO’24, find slides and more here. |
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Apr 01, 2024 | Our work on equivariant pnp algorithms is accepted at CVPR’24. |

Jan 21, 2024 | The equivariant bootstrap is accepted at AISTATS’24 with oral presentation. |

Oct 23, 2023 | Our paper on binary learning has been accepted in TMLR with a Featured certification! |

Jul 06, 2023 | The UNLIP project will be funded by the ANR. Job openings are coming soon! |