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Found 2 papers, 1 papers with code
Neural-Guided Symbolic Regression with Asymptotic Constraints
The second part, which we call Neural-Guided Monte Carlo Tree Search, uses the network during a search to find an expression that conforms to a set of data points and desired leading powers.
Correcting Nuisance Variation using Wasserstein Distance
One motivating application is drug development: morphological cell features can be captured from images, from which similarities between different drug compounds applied at different doses can be quantified.
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