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Evgeny S Saveliev
Evgeny S Saveliev
Research Engineer, University of Cambridge
Verified email at cam.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
1162022
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
652020
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
362021
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
132021
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
102022
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. arXiv, 2022
62022
Contextual HyperNetworks for Novel Feature Adaptation
CZ Angus Lamb, Evgeny Saveliev, Yingzhen Li, Sebastian Tschiatschek, Camilla ...
NeurIPS Workshop on Meta-Learning, 2020
5*2020
Auxiliary model for predicting new model parameters
C Zhang, L Angus, ES Saveliev, LI Yingzhen, C Longden, P Cameron, ...
US Patent App. 17/095,700, 2022
22022
Temporai: Facilitating machine learning innovation in time domain tasks for medicine
ES Saveliev, M van der Schaar
arXiv preprint arXiv:2301.12260, 2023
12023
Machine learning tackles the problem of dynamic disease progression in prostate cancer patients
E Saveliev
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Articles 1–10