The paper with the title "Smoothing Methods for Automatic Differentiation Across Conditional Branches", co-authored by Justin Kreikemeyer and Philipp Andelfinger, has been published at IEEE Access. It presents and evaluates novel methods to allow the gradient-based optimization of imperative programs and simulations with discrete jumps, where automatic differentiation alone does not suffice.
Paper published at IEEE Access
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