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…
Source Distribution Estimation by Posterior Averaging
Trung-Dung Hoang, Lisa M. Koch
Simulation-based science often requires a distribution over simulator parameters whose push-forward reproduces a set of real observations: this is the source distribution estimatio…
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…