Treating state-space layers as tensor networks with CNN-style connectivity and optimized contraction orders yields hybrid SSM networks that outperform homogeneous SSMs on raw audio tasks and enable competitive streaming ASR without attention.
It’s raw! audio generation with state- space models
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Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions
Treating state-space layers as tensor networks with CNN-style connectivity and optimized contraction orders yields hybrid SSM networks that outperform homogeneous SSMs on raw audio tasks and enable competitive streaming ASR without attention.