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cs.LG2025
Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity
Alessandro Pierro, Steven Abreu, Jonathan Timcheck +3
Linear recurrent neural networks enable powerful long-range sequence modeling with constant memory usage and time-per-token during inference. These architectures hold promise for s…
cs.LG2024★ 1 cited
A Diagonal Structured State Space Model on Loihi 2 for Efficient Streaming Sequence Processing
Svea Marie Meyer, Philipp Weidel, Philipp Plank +4
Deep State-Space Models (SSM) demonstrate state-of-the art performance on long-range sequence modeling tasks. While the recurrent structure of SSMs can be efficiently implemented a…