| Split-and-augmented Gibbs sampler-Application to large-scale inference problems M Vono, N Dobigeon, P Chainais IEEE Transactions on Signal Processing 67 (6), 1648-1661, 2019 | 62 | 2019 |
| Efficient MCMC sampling with dimension-free convergence rate using ADMM-type splitting M Vono, D Paulin, A Doucet Journal of Machine Learning Research 23 (25), 1-69, 2022 | 39 | 2022 |
| Asymptotically exact data augmentation: models, properties and algorithms M Vono, N Dobigeon, P Chainais Journal of Computational and Graphical Statistics 30 (2), 335-348, 2021 | 35 | 2021 |
| QLSD: Quantised Langevin stochastic dynamics for Bayesian federated learning M Vono, V Plassier, A Durmus, A Dieuleveut, E Moulines International Conference on Artificial Intelligence and Statistics (AISTATS …, 2022 | 28 | 2022 |
| C18O, 13CO, and 12CO abundances and excitation temperatures in the Orion B molecular cloud-Analysis of the achievable precision in modeling spectral lines within the … A Roueff, M Gerin, P Gratier, F Levrier, J Pety, M Gaudel, JR Goicoechea, ... Astronomy & Astrophysics 645, A26, 2021 | 28 | 2021 |
| High-dimensional Gaussian sampling: A review and a unifying approach based on a stochastic proximal point algorithm M Vono, N Dobigeon, P Chainais SIAM Review 64 (1), 3-56, 2022 | 26 | 2022 |
| Sparse Bayesian binary logistic regression using the split-and-augmented Gibbs sampler M Vono, N Dobigeon, P Chainais Proc. IEEE Int. Workshop Machine Learning for Signal Processing (MLSP), 2018 | 22 | 2018 |
| FedPop: A Bayesian Approach for Personalised Federated Learning N Kotelevskii, M Vono, E Moulines, A Durmus NeurIPS, 2022 | 20 | 2022 |
| Bayesian image restoration under Poisson noise and log-concave prior M Vono, N Dobigeon, P Chainais Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), 2019 | 20 | 2019 |
| DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs V Plassier, M Vono, A Durmus, E Moulines International Conference on Machine Learning (ICML) 139, 8577-8587, 2021 | 19 | 2021 |
| Tracers of the ionization fraction in dense and translucent gas-I. Automated exploitation of massive astrochemical model grids E Bron, E Roueff, M Gerin, J Pety, P Gratier, F Le Petit, V Guzman, ... Astronomy & Astrophysics 645, A28, 2021 | 16 | 2021 |
| Quantitative inference of the H2 column densities from 3 mm molecular emission: case study towards Orion B P Gratier, J Pety, E Bron, A Roueff, JH Orkisz, M Gerin, ... Astronomy & Astrophysics 645, A27, 2021 | 13 | 2021 |
| Personalised federated learning on heterogeneous feature spaces A Rakotomamonjy, M Vono, HJM Ruiz, L Ralaivola Transactions on Machine Learning Research, 2024 | 8 | 2024 |
| Gas kinematics around filamentary structures in the Orion B cloud M Gaudel, JH Orkisz, M Gerin, J Pety, A Roueff, A Marchal, F Levrier, ... Astronomy & Astrophysics 670, A59, 2023 | 5 | 2023 |
| Reward optimizing recommendation using deep learning and fast maximum inner product search I Aouali, A Benhalloum, M Bompaire, A Ait Sidi Hammou, S Ivanov, ... proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 3 | 2022 |
| A fully Bayesian approach for inferring physical properties with credibility intervals from noisy astronomical data M Vono, E Bron, P Chainais, F Le Petit, S Bardeau, S Bourguignon, ... 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2019 | 2 | 2019 |
| Un modèle augmenté asymptotiquement exact pour la restauration bayésienne d’images dégradées par un bruit de Poisson M Vono, N Dobigeon, P Chainais Proc. GRETSI, 2019 | 2 | 2019 |
| Modèles augmentés asymptotiquement exacts M Vono, N Dobigeon, P Chainais Proc. GRETSI, 2019 | 2* | 2019 |
| Efficient sampling through variable splitting-inspired Bayesian hierarchical models M Vono, N Dobigeon, P Chainais Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), 2019 | 2 | 2019 |
| Mixture of noises and sampling of non-log-concave posterior distributions P Palud, P Chainais, F Le Petit, E Bron, PA Thouvenin, M Vono, L Einig, ... European Signal Processing Conference (EUSIPCO), 2022 | 1 | 2022 |
Pierre ChainaisCentrale Lille Institut - CRIStAL UMR 9189 CNRSVerified email at centralelille.fr
