arxivcs.LGcs.NE2026-07-07
Scalable Perturbation Learning for Online Self-Supervised Echo State Networks
Taiki Yamada, Kantaro Fujiwara
Intelligent systems should not only solve tasks but also adapt under real-world constraints. Autonomous adaptation via self-supervised learning, sequential adaptation via online learning, and memory-efficient implementation via perturbation-based learning are important requiremen…