Selective state-space models achieve online filtering for unknown systems from the same class with generalization bounds derived under appropriate assumptions.
Can transformers learn optimal filtering for unknown systems?
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On the Generalization Properties of Selective State-Space Models for Filtering Tasks for Unknown Systems
Selective state-space models achieve online filtering for unknown systems from the same class with generalization bounds derived under appropriate assumptions.