How faithful is your synthetic data? sample-level metrics for evaluating and auditing generative models A Alaa, B Van Breugel, ES Saveliev, M Van Der Schaar International Conference on Machine Learning, 290-306, 2022 | 225 | 2022 |
Instructions and guide for diagnostic questions: The neurips 2020 education challenge Z Wang, A Lamb, E Saveliev, P Cameron, Y Zaykov, ... arXiv preprint arXiv:2007.12061, 2020 | 99 | 2020 |
Hide-and-seek privacy challenge: Synthetic data generation vs. patient re-identification J Jordon, D Jarrett, E Saveliev, J Yoon, P Elbers, P Thoral, A Ercole, ... NeurIPS 2020 Competition and Demonstration Track, 206-215, 2021 | 48 | 2021 |
Results and insights from diagnostic questions: The neurips 2020 education challenge Z Wang, A Lamb, E Saveliev, P Cameron, J Zaykov, ... NeurIPS 2020 Competition and Demonstration Track, 191-205, 2021 | 20 | 2021 |
Developing machine learning algorithms for dynamic estimation of progression during active surveillance for prostate cancer C Lee, A Light, ES Saveliev, M Van der Schaar, VJ Gnanapragasam NPJ digital medicine 5 (1), 110, 2022 | 18 | 2022 |
How faithful is your synthetic data AM Alaa, B van Breugel, E Saveliev, M van der Schaar Sample-level Metrics for Evaluating and Auditing Generative Models, 2022 | 14 | 2022 |
Temporai: Facilitating machine learning innovation in time domain tasks for medicine ES Saveliev, M van der Schaar arXiv preprint arXiv:2301.12260, 2023 | 7 | 2023 |
Auxiliary model for predicting new model parameters C Zhang, L Angus, ES Saveliev, LI Yingzhen, C Longden, P Cameron, ... US Patent 12,165,056, 2024 | 5 | 2024 |
Contextual HyperNetworks for Novel Feature Adaptation CZ Angus Lamb, Evgeny Saveliev, Yingzhen Li, Sebastian Tschiatschek, Camilla ... NeurIPS Workshop on Meta-Learning, 2020 | 5* | 2020 |
Climb: An ai-enabled partner for clinical predictive modeling E Saveliev, T Schubert, T Pouplin, V Kosmoliaptsis, M van der Schaar arXiv preprint arXiv:2410.03736, 2024 | 1 | 2024 |
AUXILIARY MODEL FOR PREDICTING NEW MODEL PARAMETERS C Zhang, A Lamb, ES Saveliev, Y LI, C Longden, P Cameron, ... US Patent App. 18/823,671, 2025 | | 2025 |
Towards Human-Guided, Data-Centric LLM Co-Pilots E Saveliev, J Liu, N Seedat, A Boyd, M van der Schaar arXiv preprint arXiv:2501.10321, 2025 | | 2025 |
Contextual HyperNetworks for Novel Feature Adaptation S Tschiatschek, A Lamb, E Saveliev, Y Li, C Longden, S Woodhead, ... | | 2021 |
Machine learning tackles the problem of dynamic disease progression in prostate cancer patients E Saveliev | | |