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Deep Stochastic Residual Methods for Fully Nonlinear Parabolic Equations
We develop and analyze neural stochastic residual methods for fully nonlinear parabolic terminal problems under exact diffusion sampling. A quadratic stochastic residual supports global training and backward regression with scalar networks and losses involving only spatial derivatives. For global tr
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