2 papers
cs.LG2026
From Redundancy to Minimality: Fixed-Point-Guided Hierarchical Reduction of Learned Piecewise-Linear Dynamics
Hiroto Tamura, Gouhei Tanaka
Understanding a nonlinear dynamical system from time series requires not only reproducing its trajectories, but also identifying a simple representation that preserves its essentia…
cs.LG2025
Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection
Keigo Nogami, Hiroto Tamura, Gouhei Tanaka
With a growing data privacy concern, federated learning has emerged as a promising framework to train machine learning models without sharing locally distributed data. In federated…