Abstract: Traditional end-to-end (E2E) training of deep networks necessitates storing intermediate activations for back-propagation, resulting in a large memory footprint on GPUs and restricted model ...
Abstract: In this paper a numerical algorithm to optimize actuator locations in a linear impulsive control system is developed so that the terminal output could be varied efficiently under various ...
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