Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge. - Zichao Wang 001; Angus Lamb; Evgeny Saveliev; Pashmina Cameron; Yordan Zaykov; José Miguel Hernández-Lobato; Richard E. Turner; Richard G. Baraniuk; Craig Barton; Simon Peyton Jones; Simon Woodhead 002; Cheng Zhang 005 (NeurIPS (Competition and Demos), 2020)

Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification. - James Jordon; Daniel Jarrett; Evgeny Saveliev; Jinsung Yoon; Paul W. G. Elbers; Patrick Thoral; Ari Ercole; Cheng Zhang 005; Danielle Belgrave; Mihaela van der Schaar (NeurIPS (Competition and Demos), 2020)

Diagnostic Questions: The NeurIPS 2020 Education Challenge. - Zichao Wang 001; Angus Lamb; Evgeny Saveliev; Pashmina Cameron; Yordan Zaykov; José Miguel Hernández-Lobato; Richard E. Turner; Richard G. Baraniuk; Craig Barton; Simon Peyton Jones; Simon Woodhead 002; Cheng Zhang 005 (CoRR, 2020)

Contextual HyperNetworks for Novel Feature Adaptation. - Angus Lamb; Evgeny Saveliev; Yingzhen Li; Sebastian Tschiatschek; Camilla Longden; Simon Woodhead 002; José Miguel Hernández-Lobato; Richard E. Turner; Pashmina Cameron; Cheng Zhang 005 (CoRR, 2021)

How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models. - Ahmed M. Alaa; Boris van Breugel; Evgeny S. Saveliev; Mihaela van der Schaar (ICML, 2022)

Developing machine learning algorithms for dynamic estimation of progression during active surveillance for prostate cancer. - Changhee Lee; Alexander Light; Evgeny S. Saveliev; Mihaela van der Schaar; Vincent J. Gnanapragasam (npj Digit. Medicine, 2022)

TemporAI: Facilitating Machine Learning Innovation in Time Domain Tasks for Medicine. - Evgeny S. Saveliev; Mihaela van der Schaar (CoRR, 2023)

CliMB: An AI-enabled Partner for Clinical Predictive Modeling. - Evgeny Saveliev; Tim Schubert; Thomas Pouplin; Vasilis Kosmoliaptsis; Mihaela van der Schaar (CoRR, 2024)

Towards Human-Guided, Data-Centric LLM Co-Pilots. - Evgeny Saveliev; Jiashuo Liu; Nabeel Seedat; Anders Boyd; Mihaela van der Schaar (CoRR, 2025)