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Found 2 papers, 2 papers with code
A Geometric Explanation of the Likelihood OOD Detection Paradox
We also show that this scenario can be identified through local intrinsic dimension (LID) estimation, and propose a method for OOD detection which pairs the likelihoods and LID estimates obtained from a pre-trained DGM.
Order-based Structure Learning with Normalizing Flows
Estimating the causal structure of observational data is a challenging combinatorial search problem that scales super-exponentially with graph size.
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