| 2025 | AISTATS | UNHaP: Unmixing Noise from Hawkes Processes. | Virginie Loison, Guillaume Staerman, Thomas Moreau |
| 2025 | CVPR | FiRe: Fixed-points of Restoration Priors for Solving Inverse Problems. | Matthieu Terris, Ulugbek S. Kamilov, Thomas Moreau |
| 2025 | DSAA | Numerically Efficient Parametric Inference for Learning Space-Time Hawkes Processes. | Emilia Siviero, Guillaume Staerman, Stphan Clmenon, Thomas Moreau |
| 2024 | AISTATS | A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization. | Mathieu Dagrou, Thomas Moreau, Samuel Vaiter, Pierre Ablin |
| 2024 | CVPR | Equivariant Plug-and-Play Image Reconstruction. | Matthieu Terris, Thomas Moreau, Nelly Pustelnik, Julin Tachella |
| 2023 | ICML | Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals. | Clment Bonet, Benot Malzieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty |
| 2023 | ICML | FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels. | Guillaume Staerman, Cdric Allain, Alexandre Gramfort, Thomas Moreau |
| 2022 | ICLR | DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals. | Cdric Allain, Alexandre Gramfort, Thomas Moreau |
| 2022 | ICLR | Understanding approximate and unrolled dictionary learning for pattern recovery. | Benot Malzieux, Thomas Moreau, Matthieu Kowalski |
| 2022 | ICLR | SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models. | Zaccharie Ramzi, Florian Mannel, Shaojie Bai, Jean-Luc Starck, Philippe Ciuciu, Thomas Moreau |
| 2022 | ICLR | CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals. | Cdric Rommel, Thomas Moreau, Joseph Paillard, Alexandre Gramfort |
| 2020 | ICML | Super-efficiency of automatic differentiation for functions defined as a minimum. | Pierre Ablin, Gabriel Peyr, Thomas Moreau |
| 2020 | IGARSS | Detection of Internal Solitary Waves with Conventional and Advanced SAR Altimetry Processing Methods: Preliminary Results. | Jos C. B. da Silva, Adriana M. Santos-Ferreira, Pierre Rieu, Thomas Moreau, Franck Borde, Francois Boy, Claire Maraldi, Nicolas Picot, Craig Donlon |
| 2019 | ICASSP | Sparsity-based Blind Deconvolution of Neural Activation Signal in FMRI. | Hamza Cherkaoui, Thomas Moreau, Abderrahim Halimi, Philippe Ciuciu |
| 2018 | ICML | DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding. | Thomas Moreau, Laurent Oudre, Nicolas Vayatis |
| 2017 | ICLR | Understanding Trainable Sparse Coding with Matrix Factorization. | Thomas Moreau, Joan Bruna |
| 2014 | IGARSS | A generalized semi-analytical model for delay/Doppler altimetry. | Abderrahim Halimi, Corinne Mailhes, Jean-Yves Tourneret, Francois Boy, Thomas Moreau |