Scholar
Julián Tachella
Google Scholar ID: u_hH-fUAAAAJ
CNRS research scientist at ENS de Lyon
Citations & Impact
Citations
1,412
H-index
16
i10-index
23
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published 'Reconstruct Anything Model: a lightweight foundational model for computational imaging' (2025); 'UNSURE: self-supervised learning with Unknown Noise level and Stein’s Unbiased Risk Estimate' accepted at ICLR'25; Work on generalized recorrupted2recorrupted accepted at CVPR'25.
Research Experience
- Research Scientist at CNRS Sisyph laboratory; Lead developer of the deep inverse open-source library; Organizing a spring school on deep learning in Argentina; Co-founded a startup building foundational models for computational imaging.
Education
- No specific educational background information provided.
Background
- A research scientist at the French National Centre for Scientific Research (CNRS), working at the Sisyph laboratory, École Normale Supérieure de Lyon. Also, co-founder and CSO of Blur Labs. His work lies at the intersection of signal processing and machine learning, particularly interested in the theory of imaging inverse problems and applications in computational imaging.
Miscellany
- Released a 3-hour self-supervised tutorial video; Personal interests and hobbies not mentioned.
Co-authors