156 citations · 367 across the 18 of their papers we have counts for
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Liyun Tu, Austin Talbot, Neil Gallagher +1
Probabilistic generative models are attractive for scientific modeling because their inferred parameters can be used to generate hypotheses and design experiments. This requires th…