4 citations · 8 across the 8 of their papers we have counts for
3 papers · 1 filter
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…
Universality of Real Minimal Complexity Reservoir
Robert Simon Fong, Boyu Li, Peter Tiňo
Reservoir Computing (RC) models, a subclass of recurrent neural networks, are distinguished by their fixed, non-trainable input layer and dynamically coupled reservoir, with only t…
Predictive Modeling in the Reservoir Kernel Motif Space
Peter Tino, Robert Simon Fong, Roberto Fabio Leonarduzzi
This work proposes a time series prediction method based on the kernel view of linear reservoirs. In particular, the time series motifs of the reservoir kernel are used as represen…