| 2025 | CVPR | Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise. | Brayan Monroy, Jorge Bacca, Julin Tachella |
| 2025 | ICASSP | Structured Random Model for Fast and Robust Phase Retrieval. | Zhiyuan Hu, Julin Tachella, Michael Unser, Jonathan Dong |
| 2025 | ICLR | UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate. | Julin Tachella, Mike E. Davies, Laurent Jacques |
| 2024 | AISTATS | Equivariant bootstrapping for uncertainty quantification in imaging inverse problems. | Marcelo Pereyra, Julin Tachella |
| 2024 | CVPR | Equivariant Plug-and-Play Image Reconstruction. | Matthieu Terris, Thomas Moreau, Nelly Pustelnik, Julin Tachella |
| 2023 | ICASSP | Hardware Friendly Spline Sketched Lidar. | Michael P. Sheehan, Julin Tachella, Mike E. Davies |
| 2022 | CVPR | Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements. | Dongdong Chen, Julin Tachella, Mike E. Davies |
| 2022 | ICASSP | Sketched RT3D: How to Reconstruct Billions of Photons Per Second. | Julin Tachella, Michael P. Sheehan, Mike E. Davies |
| 2021 | CVPR | The Neural Tangent Link Between CNN Denoisers and Non-Local Filters. | Julin Tachella, Junqi Tang, Mike E. Davies |
| 2021 | ICCV | Equivariant Imaging: Learning Beyond the Range Space. | Dongdong Chen, Julin Tachella, Mike E. Davies |
| 2021 | ICIP | Edge-Resolved Transient Imaging: Performance Analyses, Optimizations, and Simulations. | Charles Saunders, William Krska, Julin Tachella, Sheila W. Seidel, Joshua Rapp, John Murray-Bruce, Yoann Altmann, Steve McLaughlin, Vivek K. Goyal |
| 2019 | ICASSP | 3D Reconstruction Using Single-photon Lidar Data Exploiting the Widths of the Returns. | Julin Tachella, Yoann Altmann, Steve McLaughlin, Jean-Yves Tourneret |