TensorSSM: memorizing spatial position in dynamic state space for tensor core generation
Read the original at arxiv.org→arXiv:2610.40871v1 Announce Type: new Abstract: High-dimensional tensors are ubiquitous in real-world applications but lead to massive storage overhead. Functional tensor decomposition addresses this by employing...
Original headline: "TensorSSM: Memorizing Spatial Position in Dynamic State Space for Tensor Core Generation"
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- Nov 2, 05:00 UTC arXiv cs.LG lead source TensorSSM: Memorizing Spatial Position in Dynamic State Space for Tensor Core Generation