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
56 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
35 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
19 * 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
13 * 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
11 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
6 2023 Differentially Private Statistical Inference through J Jewson, S Ghalebikesabi, C Holmes
37th Conference on Neural Information Processing Systems (NeurIPS 2023), 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
4 * 2022 Air Gap: Protecting Privacy-Conscious Conversational Agents E Bagdasaryan, R Yi, S Ghalebikesabi, P Kairouz, M Gruteser, S Oh, ...
arXiv preprint arXiv:2405.05175, 2024
3 2024 Operationalizing Contextual Integrity in Privacy-Conscious Assistants S Ghalebikesabi, E Bagdasaryan, R Yi, I Yona, I Shumailov, A Pappu, ...
arXiv preprint arXiv:2408.02373, 2024
2 2024 CI-Bench: Benchmarking Contextual Integrity of AI Assistants on Synthetic Data Z Cheng, D Wan, M Abueg, S Ghalebikesabi, R Yi, E Bagdasarian, ...
arXiv preprint arXiv:2409.13903, 2024
2024 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 154, 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 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 Generative modelling: addressing open problems in model misspecification and differential privacy S Ghalebikesabi
University of Oxford, 2023
2023 A Tutorial on Model Explainability S Ghalebikesabi
Chris HolmesBestätigte E-Mail-Adresse bei stats.ox.ac.uk
