LoRA-RC adapts the recurrent matrix of reservoir computing with low-rank updates for online prediction
Read the original at arxiv.org→arXiv:2609.12327v1 Announce Type: new Abstract: Reservoir computing (RC) trains only a linear readout over a fixed recurrent layer, making it fast and data-efficient for online prediction. However, a static...
Original headline: "LoRA-RC: Reservoir Computing with Low-Rank Adaptation"
Coverage timeline
- Sep 14, 04:00 UTC arXiv cs.AI lead source LoRA-RC: Reservoir Computing with Low-Rank Adaptation
- Sep 14, 04:00 UTC arXiv cs.LG Rank-Efficient LoRA via Joint Tangent-Space Optimization under Isotropic Curvature