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Generative Modeling under Non-Monotone MAR Missingness via Approximate Wasserstein Gradient Flows
FLOWGEM uses approximate Wasserstein gradient flows to generate complete data from non-monotone MAR patterns by minimizing observed-data KL divergence, achieving state-of-the-art results.
Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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