89 citations · 393 across the 60 of their papers we have counts for
4 papers · 1 filter
Effect of temporal resolution on the reproduction of chaotic dynamics via reservoir computing
Kohei Tsuchiyama, André Röhm, Takatomo Mihana +2
Reservoir computing is a machine learning paradigm that uses a structure called a reservoir, which has nonlinearities and short-term memory. In recent years, reservoir computing ha…
Theory of Acceleration of Decision Making by Correlated Time Sequences
Norihiro Okada, Tomoki Yamagami, Nicolas Chauvet +3
Photonic accelerators have been intensively studied to provide enhanced information processing capability to benefit from the unique attributes of physical processes. Recently, it…
Generative adversarial network based on chaotic time series
Makoto Naruse, Takashi Matsubara, Nicolas Chauvet +3
Generative adversarial network (GAN) is gaining increased importance in artificially constructing natural images and related functionalities wherein two networks called generator a…
Single photon in hierarchical architecture for physical reinforcement learning: Photon intelligence
Makoto Naruse, Martin Berthel, Aurélien Drezet +3
Understanding and using natural processes for intelligent functionalities, referred to as natural intelligence, has recently attracted interest from a variety of fields, including…