TensorSSM proposes dynamic state space method for tensor core generation

A new paper, TensorSSM, introduces a functional tensor decomposition approach that memorizes spatial position in dynamic state spaces to generate tensor cores, addressing storage overhead of high-dimensional tensors.

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2026-11-02 05:00 · arXiv cs.LG
TensorSSM: Memorizing Spatial Position in Dynamic State Space for Tensor Core Generation

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