| Simple discrete-time self-exciting models can describe complex dynamic processes: A case study of COVID-19 R Browning, D Sulem, K Mengersen, V Rivoirard, J Rousseau PloS one 16 (4), e0250015, 2021 | 34 | 2021 |
| Regularized spectral methods for clustering signed networks M Cucuringu, AV Singh, D Sulem, H Tyagi Journal of Machine Learning Research 22 (264), 1-79, 2021 | 26 | 2021 |
| Bayesian estimation of nonlinear Hawkes processes D Sulem, V Rivoirard, J Rousseau Bernoulli 30 (2), 1257-1286, 2024 | 24 | 2024 |
| Graph similarity learning for change-point detection in dynamic networks D Sulem, H Kenlay, M Cucuringu, X Dong Machine Learning 113 (1), 1-44, 2024 | 19 | 2024 |
| Diverse counterfactual explanations for anomaly detection in time series D Sulem, M Donini, MB Zafar, FX Aubet, J Gasthaus, T Januschowski, ... arXiv preprint arXiv:2203.11103, 2022 | 15 | 2022 |
| Scalable variational bayes methods for hawkes processes D Sulem, V Rivoirard, J Rousseau arXiv preprint arXiv:2212.00293, 2022 | 5 | 2022 |
| Estimating the history of a random recursive tree S Briend, C Giraud, G Lugosi, D Sulem arXiv preprint arXiv:2403.09755, 2024 | 2 | 2024 |
| Scalable and adaptive variational Bayes methods for Hawkes processes D Sulem, V Rivoirard, J Rousseau arXiv preprint arXiv:2212.00293, 2022 | 2 | 2022 |
| An Empirical Study of Self-Supervised Learning with Wasserstein Distance M Yamada, Y Takezawa, G Houry, KM Düsterwald, D Sulem, H Zhao, ... Entropy 26 (11), 939, 2024 | 1 | 2024 |
| An empirical study of simplicial representation learning with wasserstein distance M Yamada, Y Takezawa, G Houry, KM Düsterwald, D Sulem, H Zhao, ... | 1 | 2023 |
| Flexible estimation of temporal point processes and graphs D Sulem University of Oxford, 2023 | | 2023 |
| Bayesian estimation of multivariate Hawkes processes: a graph perspective and a general approach to interaction modelling D Sulem, V Rivoirard, J Rousseau Journees de Statistiques de la Societe de Statistique 52, 738-743, 2020 | | 2020 |
| Bayesian computation for high-dimensional Gaussian graphical models D Sulem | | |
| Supplementary Material of Bayesian estimation of nonlinear Hawkes processes D SULEM, V RIVOIRARD, J ROUSSEAU | | |
| Scalable variational Bayes methods for multivariate temporal point processes D Sulem, V Rivoirard, J Rousseau European Meeting of Statisticians 2023 Warsaw 3–7 July, 2023 Book of …, 0 | | |
Judith RousseauUniversity of oxfordPatvirtintas el. paštas stats.ox.ac.uk
