Molecular generative models partition their coordinate spaces into piecewise-constant identity regions whose chemical organization depends on identity convention, stochasticity, and metric.
Characterizing the latent space of molecular deep generative models with persistent homology metrics
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How Molecular Generative Models Organize Molecular Identity
Molecular generative models partition their coordinate spaces into piecewise-constant identity regions whose chemical organization depends on identity convention, stochasticity, and metric.