
Die Verwendung des REINFORCE-Typs Gradientenschätzers bietet Vorteile bei der Schulung von Normalizing Flows, insbesondere in computationally intensiven Szenarien wie dem 2D Schwinger-Modell mit Wilson-Fermionen.


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training-normalizing-flows-with-computationally-intensive-target-probability-distributions-a-comparison-of-reinforce-and-reparameterization-trick-estimators-in-the-2d-schwinger-model-with-wilson-fermions


Training normalizing flows with computationally intensive target probability distributions: A comparison of REINFORCE and reparameterization trick estimators in the 2D Schwinger model with Wilson fermions
