1 citations · 1 across the 3 of their papers we have counts for
4 papers
Learning Causal Normalizing Flows from Incomplete Data via Observed-Data Likelihood
Trung-Dung Hoang, Alceu Bissoto, Tim Flühmann +4
Causal Normalizing Flows (CNFs) enable causal inference from observational data given the causal structure, but they assume fully observed training data. We introduce MissCNF, whic…
Label-free estimation of clinically relevant performance metrics under distribution shifts
Tim Flühmann, Alceu Bissoto, Trung-Dung Hoang +1
Performance monitoring is essential for safe clinical deployment of image classification models. However, because ground-truth labels are typically unavailable in the target datase…
A Real-Time Digital Twin for Type 1 Diabetes using Simulation-Based Inference
Trung-Dung Hoang, Alceu Bissoto, Vihangkumar V. Naik +4
Accurately estimating parameters of physiological models is essential to achieving reliable digital twins. For Type 1 Diabetes, this is particularly challenging due to the complexi…
Subgroup Performance Analysis in Hidden Stratifications
Alceu Bissoto, Trung-Dung Hoang, Tim Flühmann +3
Machine learning (ML) models may suffer from significant performance disparities between patient groups. Identifying such disparities by monitoring performance at a granular level…