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Notes on generative models
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PosteriorBench: From Point Estimates to Posterior Matching in Evaluating Generative Inverse Solvers
PosteriorBench evaluates whether generative inverse solvers recover full solution distributions rather than only one plausible reconstruction. It covers four physics-based inverse problems and uses reference posteriors…
Bridging the Gap Between Plausibility and Admissibility: Constraint-Aware Flow Maps for Dynamic Graph Systems
A new model is proposed to improve the accuracy of generative trajectory modeling in dynamic graph-structured systems by applying hard filtering, soft weighting, or projection-based repair using post-sampling symbolic…
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