Abstract: Efficient techniques are developed for completing unbalanced and sparse low-order tensors, which cannot be effectively completed by popular matrix-rank optimization based techniques such as ...

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Abstract: We introduce a novel tensor contraction processor (TCP) architecture that offers a paradigm shift from traditional architectures that rely on fixed-size matrix multiplications. TCP aims at ...