Causal normalizing flows: from theory to practice
–Neural Information Processing Systems
Our focus in this paper is to solve causal inference problems using only observational data and (potentially partial) knowledge on the causal graph of the underlying structural causal model (SCM).
Neural Information Processing Systems
Feb-16-2026, 18:00:35 GMT
- Country:
- Europe
- Germany > Saarland (0.04)
- United Kingdom > England
- Cambridgeshire > Cambridge (0.04)
- North America
- Canada > British Columbia
- Vancouver (0.04)
- United States
- California > Los Angeles County
- Long Beach (0.04)
- Hawaii > Honolulu County
- Honolulu (0.04)
- Michigan (0.04)
- California > Los Angeles County
- Canada > British Columbia
- Europe
- Genre:
- Research Report > New Finding (1.00)
- Technology: