Julián Tachella
9 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (13) 🌍 Conference Polyglot (6) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (12)
🧭
Keyword Pioneer
🔥
Unstoppable
(5)
Conferences
CVPR (4)
AISTATS (1)
ICCV (1)
ICLR (1)
JMLR (1)
NIPS (1)
Top co-authors
Keywords
inverse problem
(5)
image reconstruction
(3)
self-supervised learning
(3)
unsupervised learning
(3)
stein's unbiased risk estimator
(2)
image inpainting
(2)
image denoising
(1)
gradient descent
(1)
magnetic resonance imaging
(1)
additive noise
(1)
gaussian noise
(1)
convolutional neural network
(1)
linear inverse problem
(1)
confidence region
(1)
computed tomography
(1)
parametric bootstrap
(1)
noise model
(1)
noise distribution
(1)
poisson noise
(1)
equivariant imaging
(1)
Papers
UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate
ICLR 2025
Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise
CVPR 2025
Equivariant Plug-and-Play Image Reconstruction
CVPR 2024
Equivariant bootstrapping for uncertainty quantification in imaging inverse problems
AISTATS 2024
Sensing Theorems for Unsupervised Learning in Linear Inverse Problems
JMLR 2023
Robust Equivariant Imaging: A Fully Unsupervised Framework for Learning To Image From Noisy and Partial Measurements
CVPR 2022
Unsupervised Learning From Incomplete Measurements for Inverse Problems
NIPS 2022
Equivariant Imaging: Learning Beyond the Range Space
ICCV 2021
The Neural Tangent Link Between CNN Denoisers and Non-Local Filters
CVPR 2021