3 papers
math.DS2026
Ensemble Reservoir Computing for Physical Systems
Yuma Nakamura, Tomoyuki Kubota, Yusuke Imai +3
Physical computing exploits unconventional physical substrates to overcome limitations such as the high energy consumption inherent in digital computation. However, intrinsic noise…
cs.LG2025
Memory Determines Learning Direction: A Theory of Gradient-Based Optimization in State Space Models
JingChuan Guan, Tomoyuki Kubota, Yasuo Kuniyoshi +1
State space models (SSMs) have gained attention by showing potential to outperform Transformers. However, previous studies have not sufficiently addressed the mechanisms underlying…
nlin.CD2024
Reservoir Computing Generalized
Tomoyuki Kubota, Yusuke Imai, Sumito Tsunegi +1
A physical neural network (PNN) has both the strong potential to solve machine learning tasks and intrinsic physical properties, such as high-speed computation and energy efficienc…