| A new class of stochastic EM algorithms. Escaping local maxima and handling intractable sampling S Allassonnière, J Chevallier Computational Statistics & Data Analysis 159, 107159, 2021 | 22* | 2021 |
| Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data J Chevallier, S Oudard, S Allassonnière Advances in Neural Information Processing Systems, 1152-1160, 2017 | 11 | 2017 |
| Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data S Allassonniere, J Chevallier, S Oudard Advances in neural information processing systems 30, 2017 | 8 | 2017 |
| A new class of em algorithms S Allassonnière, J Chevallier Escaping local minima and handling intractable sampling, 2019 | 5 | 2019 |
| A coherent framework for learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data J Chevallier, V Debavelaere, S Allassonniere SIAM Journal on Imaging Sciences 14 (1), 349-388, 2021 | 4 | 2021 |
| Statistical models and stochastic algorithms for the analysis of longitudinal Riemanian manifold valued data with multiple dynamic J Chevallier Université Paris-Saclay (ComUE), 2019 | | 2019 |
| Algorithme SAEM: Par dela l’étape de simulation J Chevallier | | |
