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Graph of the Heaviside step function and its derivative estimated

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DiscoGrad - automatically differentiate across conditional branches

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DiscoGrad: Transforming C++ Branch Programs With Smooth Gradients

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Smoothing Methods for Automatic Differentiation Across Conditional

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Overview of the optimization progress over the time budgets for the

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Overview of the optimization progress over the time budgets for the. over the time budgets for the TRAFFIC problem. from publication: Smoothing Methods for Automatic Differentiation Across Conditional Branches | Programs , PDF) Smoothing Methods for Automatic Differentiation Across , PDF) Smoothing Methods for Automatic Differentiation Across , Results on the MONK data sets. The inference times are per data , Results on the MONK data sets. The inference times are per data , Kreikemeyer and Philipp Andelfinger. Smoothing methods for automatic differentiation across conditional branches. IEEE Access,. 11:143190–143211, 2023. [21]