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Tangent Schrödinger Bridge Matching: Learning Stochastic Transport with Mechanistic Sensitivities
Predicting how stochastic systems respond to changes in viscosity, reaction rates, or external forces requires costly simulations, motivating reusable learned models. Yet matching observed outcome distributions does not ensure accurate intervention responses. We introduce Tangent Schrödinger Bridge
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