CausticFlow combines neural CDEs and normalizing flows to propose binary microlensing posteriors in under a second, recovering ~80% of simulated events and 7 of 10 real events after local polishing.
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CausticFlow: An Efficient Machine Learning Framework Combining Neural Differential Equations and Normalizing Flows for Binary Microlensing Parameter Inference
CausticFlow combines neural CDEs and normalizing flows to propose binary microlensing posteriors in under a second, recovering ~80% of simulated events and 7 of 10 real events after local polishing.