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cs.LG2026
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…
cs.LG2026
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…