Julián Tachella
10 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15)
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Topic Evolution
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Trend Setter
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Unstoppable · Bronze
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Top co-authors
Research topics
Computer Vision
(9)
Processing
(9)
Machine Learning
(8)
Learning Types · Machine Learning
(7)
Deep Learning
(5)
Domain-Specific
(3)
Learning Types · Deep Learning
(3)
Optimization & Theory · Machine Learning
(3)
Application Areas
(1)
Architectures
(1)
Core Methods
(1)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
inverse problem
(7)
image reconstruction
(5)
self-supervised learning
(4)
unsupervised learning
(3)
magnetic resonance imaging
(2)
stein's unbiased risk estimator
(2)
image inpainting
(2)
image denoising
(1)
gradient descent
(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
Efficient Unrolled Networks for Large-Scale 3D Inverse Problems
CVPR 2026
Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise
CVPR 2025
UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate
ICLR 2025
Equivariant bootstrapping for uncertainty quantification in imaging inverse problems
AISTATS 2024
Equivariant Plug-and-Play Image Reconstruction
CVPR 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
NeurIPS 2022
Equivariant Imaging: Learning Beyond the Range Space
ICCV 2021
The Neural Tangent Link Between CNN Denoisers and Non-Local Filters
CVPR 2021