2 papers
cs.LG2026
Scalable Perturbation Learning for Online Self-Supervised Learning in 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 le…
cs.LG2025
Unsupervised Learning in Echo State Networks for Input Reconstruction
Taiki Yamada, Yuichi Katori, Kantaro Fujiwara
Echo state networks (ESNs) are a class of recurrent neural networks in which only the readout layer is trainable, while the recurrent and input layers are fixed. This architectural…