Preprint
Aug 2026
Accelerated Learning of High Dimensional Functions with a Tensor-Featured Training Network
This work presents a method to accelerate the optimization of learning high dimensional functions using deep neural network (DNN), and studies the effect of adding features which distill pretrained DNN into TNs using a discretize and decompose strategy.
Karl Pierce, Y. Khoo, Haizhao Yang
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