Differentially private diffusion models generate useful synthetic images S Ghalebikesabi, L Berrada, S Gowal, I Ktena, R Stanforth, J Hayes, S De, ...
arXiv preprint arXiv:2302.13861, 2023
30 2023 On Locality of Local Explanation Models S Ghalebikesabi, L Ter-Minassian, K Diaz-Ordaz, C Holmes
35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2021
29 2021 Deep Generative Pattern-Set Mixture Models for Nonignorable Missingness S Ghalebikesabi, R Cornish, LJ Kelly, C Holmes
Proceedings of the 24th International Conference on Artificial Intelligence …, 2021
14 * 2021 Mitigating Statistical Bias within Differentially Private Synthetic Data S Ghalebikesabi, H Wilde, J Jewson, A Doucet, S Vollmer, C Holmes
Uncertainty in Artificial Intelligence, 696-705, 2022
10 * 2022 A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods VD Wild, S Ghalebikesabi, D Sejdinovic, J Knoblauch
37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023
5 2023 AIRIVA: a deep generative model of adaptive immune repertoires MF Pradier, N Prasad, P Chapfuwa, S Ghalebikesabi, M Ilse, ...
Machine Learning for Healthcare Conference, 588-611, 2023
4 2023 A Quasi-Bayesian Nonparametric Density Estimator via Autoregressive Predictive Updates S Ghalebikesabi, C Holmes, E Fong, B Lehmann
Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence …, 2022
1 2022 A framework for longitudinal latent factor modelling of treatment response in clinical trials with applications to Psoriatic Arthritis and Rheumatoid Arthritis F Falck, X Zhu, S Ghalebikesabi, M Kormaksson, M Vandemeulebroecke, ...
Journal of Biomedical Informatics, 104641, 2024
2024 Explainable AI for survival analysis: a median-SHAP approach L Ter-Minassian, S Ghalebikesabi, K Diaz-Ordaz, C Holmes
arXiv preprint arXiv:2402.00072, 2024
2024 Differentially Private Statistical Inference through J Jewson, S Ghalebikesabi, C Holmes
37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023
2023 Challenges and Opportunities of Shapley values in a Clinical Context L Ter-Minassian, S Ghalebikesabi, K Diaz-Ordaz, C Holmes
ICML 2022 Workshop on Interpretable Machine Learning in Healthcare, 2023
2023 Identification of Underlying Disease Domains by Longitudinal Latent Factor Analysis for Secukinumab Treated Patients in Psoriatic Arthritis and Rheumatoid Arthritis Trials X Zhu, F Falck, S Ghalebikesabi, M Kormaksson, M Vandemeulebroecke, ...
ACR Convergence 2021, 2021
2021 A Tutorial on Model Explainability S Ghalebikesabi
Chris HolmesBestätigte E-Mail-Adresse bei stats.ox.ac.uk
