| Random Geometric Graph: Some recent developments and perspectives Q Duchemin, Y De Castro High Dimensional Probability IX: The Ethereal Volume, 347-392, 2023 | 18 | 2023 |
| Cramér–Rao bound‐informed training of neural networks for quantitative MRI X Zhang, Q Duchemin, K Liu*, C Gultekin, S Flassbeck, ... Magnetic resonance in medicine 88 (1), 436-448, 2022 | 13 | 2022 |
| Concentration inequality for U-statistics of order two for uniformly ergodic Markov chains Q Duchemin, Y De Castro, C Lacour Bernoulli, 2020 | 10 | 2020 |
| Rapid quantitative magnetization transfer imaging: Utilizing the hybrid state and the generalized Bloch model J Assländer, C Gultekin, A Mao, X Zhang, Q Duchemin, K Liu, ... Magnetic resonance in medicine 91 (4), 1478-1497, 2024 | 6 | 2024 |
| Markov random geometric graph, MRGG: A growth model for temporal dynamic networks Q Duchemin, Y De Castro Electronic Journal of Statistics 16 (1), 671-699, 2022 | 6* | 2022 |
| Reliable prediction in the Markov stochastic block model Q Duchemin ESAIM: Probability and Statistics 27, 80-135, 2023 | 3 | 2023 |
| Optimized dimensionality reduction for parameter estimation in MR fingerprinting via deep learning Q Duchemin, K Liu, C Fernandez-Granda, J Asslaender Proc. 28th Meeting of the International Society for Magnetic Resonance in …, 2020 | 3 | 2020 |
| Three rates of convergence or separation via U-statistics in a dependent framework Q Duchemin, Y De Castro, C Lacour Journal of Machine Learning Research 23 (201), 1-59, 2022 | 2 | 2022 |
| A new procedure for selective inference with the generalized linear Lasso Q Duchemin | 1 | 2022 |
| Growth dynamics of large networks using hidden Markov chains Q Duchemin Université Gustave Eiffeil, 2022 | | 2022 |
| SIGLE: a valid procedure for Selective Inference with the Generalized Linear Lasso Q Duchemin, Y De Castro arXiv preprint arXiv:2203.15348, 2022 | | 2022 |
| Inference in the Stochastic Block Model with a Markovian assignment of the communities. Q Duchemin CoRR, 2020 | | 2020 |
| SUPPLEMENTARY MATERIAL:" CONCENTRATION INEQUALITY FOR U-STATISTICS OF ORDER TWO FOR UNIFORMLY ERGODIC MARKOV CHAINS Q DUCHEMIN, Y DE CASTRO, C LACOUR | | |
| Dynamique de croissance de grands réseaux à l’aide de chaînes de Markov cachées Q DUCHEMIN | | |
