no code implementations • 19 Feb 2024 • Hiroyuki Sato, Keisuke Suzuki, Atsushi Hashizume, Ryoichi Hanazawa, Masanao Sasaki, Akihiro Hirakawa, the Japanese Alzheimer's Disease Neuroimaging Initiative, the Alzheimer's Disease Neuroimaging Initiative
Various predictive models have been designed to realize its early onset and study the long-term trajectories of cognitive test scores across populations of interest.
no code implementations • 29 Nov 2023 • Keisuke Suzuki
In this paper, we prove that an Adam-type algorithm with smooth clipping approaches the global minimizer of the regularized non-convex loss function.
no code implementations • 1 Dec 2022 • Manuel Baltieri, Hiroyuki Iizuka, Olaf Witkowski, Lana Sinapayen, Keisuke Suzuki
Artificial life is a research field studying what processes and properties define life, based on a multidisciplinary approach spanning the physical, natural and computational sciences.
no code implementations • 25 May 2022 • Keisuke Suzuki
In this paper, we propose a novel uniform generalization bound on the time and inverse temperature for stochastic gradient Langevin dynamics (SGLD) in a non-convex setting.
no code implementations • 24 May 2022 • Keisuke Suzuki
In this paper, we propose a weak approximation of the reflection coupling (RC) for stochastic differential equations (SDEs), and prove it converges weakly to the desired coupling.