AI RESEARCH
ParalESN: Enabling parallel information processing in Reservoir Computing
arXiv CS.AI
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ArXi:2601.22296v2 Announce Type: replace-cross Reservoir Computing (RC) has established itself as an efficient paradigm for temporal processing. However, its scalability remains severely constrained by the need to process temporal data sequentially and the prohibitive memory footprint of high-dimensional reservoirs. To address these limitations, we revisit RC through the lens of structured operators and state space modeling,