| Between-centre differences for COVID-19 ICU mortality from early data in England Z Qian, AM Alaa, M van der Schaar, A Ercole Intensive care medicine 46, 1779-1780, 2020 | 57 | 2020 |
| Retrospective cohort study of admission timing and mortality following COVID-19 infection in England A Alaa, Z Qian, J Rashbass, J Benger, M van der Schaar BMJ open 10 (11), e042712, 2020 | 54 | 2020 |
| Integrating expert ODEs into neural ODEs: pharmacology and disease progression Z Qian, W Zame, L Fleuren, P Elbers, M van der Schaar Advances in Neural Information Processing Systems 34, 11364-11383, 2021 | 48 | 2021 |
| Unlabelled data improves bayesian uncertainty calibration under covariate shift A Chan, A Alaa, Z Qian, M Van Der Schaar International conference on machine learning, 1392-1402, 2020 | 44 | 2020 |
| Continuous-time modeling of counterfactual outcomes using neural controlled differential equations N Seedat, F Imrie, A Bellot, Z Qian, M van der Schaar arXiv preprint arXiv:2206.08311, 2022 | 42 | 2022 |
| Explaining latent representations with a corpus of examples J Crabbé, Z Qian, F Imrie, M van der Schaar Advances in Neural Information Processing Systems 34, 12154-12166, 2021 | 39 | 2021 |
| When and how to lift the lockdown? global covid-19 scenario analysis and policy assessment using compartmental gaussian processes Z Qian, AM Alaa, M van der Schaar Advances in Neural Information Processing Systems 33, 10729-10740, 2020 | 39 | 2020 |
| CPAS: the UK’s national machine learning-based hospital capacity planning system for COVID-19 Z Qian, AM Alaa, M van der Schaar Machine Learning 110 (1), 15-35, 2021 | 38 | 2021 |
| Clairvoyance: A pipeline toolkit for medical time series D Jarrett, J Yoon, I Bica, Z Qian, A Ercole, M van der Schaar arXiv preprint arXiv:2310.18688, 2023 | 36 | 2023 |
| Membership inference attacks against synthetic data through overfitting detection B Van Breugel, H Sun, Z Qian, M van der Schaar arXiv preprint arXiv:2302.12580, 2023 | 34 | 2023 |
| GOGGLE: Generative modelling for tabular data by learning relational structure T Liu, Z Qian, J Berrevoets, M van der Schaar The Eleventh International Conference on Learning Representations, 2023 | 30 | 2023 |
| Causal deep learning J Berrevoets, K Kacprzyk, Z Qian, M van der Schaar arXiv preprint arXiv:2303.02186, 2023 | 24 | 2023 |
| Synctwin: Treatment effect estimation with longitudinal outcomes Z Qian, Y Zhang, I Bica, A Wood, M van der Schaar Advances in Neural Information Processing Systems 34, 3178-3190, 2021 | 24 | 2021 |
| Learning dynamic and personalized comorbidity networks from event data using deep diffusion processes Z Qian, A Alaa, A Bellot, M Schaar, J Rashbass International Conference on Artificial Intelligence and Statistics, 3295-3305, 2020 | 24 | 2020 |
| Synthcity: facilitating innovative use cases of synthetic data in different data modalities Z Qian, BC Cebere, M van der Schaar arXiv preprint arXiv:2301.07573, 2023 | 22 | 2023 |
| Deep generative symbolic regression S Holt, Z Qian, M van der Schaar arXiv preprint arXiv:2401.00282, 2023 | 21 | 2023 |
| Neural laplace: Learning diverse classes of differential equations in the laplace domain SI Holt, Z Qian, M van der Schaar International Conference on Machine Learning, 8811-8832, 2022 | 20 | 2022 |
| Synthetic data, real errors: how (not) to publish and use synthetic data B Van Breugel, Z Qian, M Van Der Schaar International Conference on Machine Learning, 34793-34808, 2023 | 18 | 2023 |
| Learning queueing policies for organ transplantation allocation using interpretable counterfactual survival analysis J Berrevoets, A Alaa, Z Qian, J Jordon, AES Gimson, M Van Der Schaar International Conference on Machine Learning, 792-802, 2021 | 17 | 2021 |
| D-code: Discovering closed-form odes from observed trajectories Z Qian, K Kacprzyk, M van der Schaar International Conference on Learning Representations, 2022 | 15 | 2022 |
Mihaela van der SchaarUniversity of Cambridge, The Alan Turing InstituteBestätigte E-Mail-Adresse bei ee.ucla.edu
