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20232026
most citedConditional Pseudo-Reversible Normalizing Flow for Surrogate Modeling in Quantifying Uncertainty Propagation

2 citations · 2 across the 4 of their papers we have counts for

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physics.plasm-ph2026

A Pre-trained Variational Autoencoder for Gyrokinetic Plasma Turbulence Surrogate Modeling

Minglei Yang, Marshall Nicholson, Diego Del-Castillo-Negrete +2

Machine learning surrogate models offer a promising path toward accelerating plasma turbulence simulations. We present PreVAE-Turb, a surrogate modeling framework that leverages pr…