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Center for Computational Biology, Flatiron Institute, New York, NY, USA, 10010, Courant Institute of Mathematical Sciences, New York University, New York, NY, USA, 10012
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Biophysically-constrained models of gene regulation, learned via probability flow matching, are the only ones that accurately predict cell fate decisions and responses to perturbations, even when other models interpolate the training data just as well.
