PRISM is a parameter-efficient CNN for multivariate time series classification that uses symmetric multi-resolution convolutional layers to reduce parameters while matching or exceeding state-of-the-art performance.
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PRISM: Lightweight Multivariate Time-Series Classification through Symmetric Multi-Resolution Convolutional Layers
PRISM is a parameter-efficient CNN for multivariate time series classification that uses symmetric multi-resolution convolutional layers to reduce parameters while matching or exceeding state-of-the-art performance.