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Symplectic Representation of Legendre Dynamics
Robert Simon Fong, Gouhei Tanaka, Kazuyuki Aihara
Modern learning systems act on internal representations of data, yet how these representations encode underlying physical or statistical structure is often left implicit. In physic…
Dynamical Graph Echo State Networks with Snapshot Merging for Dissemination Process Classification
Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka
The Dissemination Process Classification (DPC) is a popular application of temporal graph classification. The aim of DPC is to classify different spreading patterns of information…
Reservoir Computing with Diverse Timescales for Prediction of Multiscale Dynamics
Gouhei Tanaka, Tadayoshi Matsumori, Hiroaki Yoshida +1
Machine learning approaches have recently been leveraged as a substitute or an aid for physical/mathematical modeling approaches to dynamical systems. To develop an efficient machi…