Tachella, Julián

10 publications

CVPR 2025 Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise Brayan Monroy, Jorge Bacca, Julián Tachella

ICLR 2025 UNSURE: Self-Supervised Learning with Unknown Noise Level and Stein's Unbiased Risk Estimate Julián Tachella, Mike Davies, Laurent Jacques

AISTATS 2024 Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse Problems Marcelo Pereyra, Julián Tachella

CVPR 2024 Equivariant Plug-and-Play Image Reconstruction Matthieu Terris, Thomas Moreau, Nelly Pustelnik, Julian Tachella

TMLR 2023 Learning to Reconstruct Signals from Binary Measurements Alone Julián Tachella, Laurent Jacques

JMLR 2023 Sensing Theorems for Unsupervised Learning in Linear Inverse Problems Julián Tachella, Dongdong Chen, Mike Davies

CVPR 2022 Robust Equivariant Imaging: A Fully Unsupervised Framework for Learning to Image from Noisy and Partial Measurements Dongdong Chen, Julián Tachella, Mike E. Davies

NeurIPS 2022 Unsupervised Learning from Incomplete Measurements for Inverse Problems Julián Tachella, Dongdong Chen, Mike Davies

ICCV 2021 Equivariant Imaging: Learning Beyond the Range Space Dongdong Chen, Julián Tachella, Mike E. Davies

CVPR 2021 The Neural Tangent Link Between CNN Denoisers and Non-Local Filters Julian Tachella, Junqi Tang, Mike Davies