3 papers
nlin.CD2026
Attractor reconstruction in attracting subspaces: Slow-spectrum preshaping for reservoir computing under partial observation
Satoshi Oishi, Hiroshi Yamashita, Hideyuki Suzuki +1
Data-driven reproduction of chaotic dynamics under partial observation remains a challenge despite its practical importance. Reservoir computing (RC) and other data-driven approach…
stat.CO2026
Designing Zero-Mean Feature Functions for Multimodal Distributions
Hiroshi Yamashita, Hideyuki Suzuki
To improve the accuracy of Monte Carlo estimation of expectations, a set of zero-mean feature functions, known as control variates, can be used. They can be used as feature functio…
cs.LG2025
Deterministic Discrete Denoising
Hideyuki Suzuki, Wataru Kurebayashi, Hiroshi Yamashita
We propose a deterministic denoising algorithm for discrete-state diffusion models. The key idea is to derandomize the generative reverse Markov chain by introducing a variant of t…