Reservoir Structured State Space Models
Giuseppe Lombardi ⋅ Claudio Gallicchio ⋅ Andrea Ceni
Abstract
We propose a neural network architecture that combines state space models with reservoir computing to handle long dependencies in sequence modeling.This approach significantly improves efficiency while remaining highly competitive in terms of accuracy.
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