Get started
Author

Wataru Yata

Observed names: Wataru YATA, Yata, Wataru
OpenAlex ID: A5000184055
Imposing Early and Asymptotic Constraints on Ligme with Application to Nonconvex Enhancement of Fused Lasso Models
2024 · Wataru Yata, Isao Yamada · IEEE International Conference on Acoustics Speech and Signal Processing · 3
A Constrained Linearly Involved Generalized Moreau Enhanced Model and Its Proximal Splitting Algorithm
2021 · Wataru Yata, Masao Yamagishi, et al. · Machine learning for signal processing ... · 2
An LiGME Regularizer of Designated Isolated Minimizers — An Application to Discrete-Valued Signal Estimation
2025 · Satoshi SHOJI, Wataru YATA, et al. · IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences · 1
PDF
A Discrete-Valued Signal Estimation by Nonconvex Enhancement of SOAV with cLiGME Model
2024 · Satoshi Shoji, Wataru Yata, et al. · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · 1
An LiGME Regularizer of Designated Isolated Minimizers - An Application to Discrete-Valued Signal Estimation
2025 · 東海林, 郷志, Shoji, Satoshi, et al. · Institutional Repositories DataBase (IRDB)
A Convexity Preserving Nonconvex Regularization for Inverse Problems Under Non-Gaussian Noise
2025 · Wataru Yata, Keita Kume, et al. · European Signal Processing Conference (EUSIPCO)
Linearly involved Generalized Moreau Enhanced Model with Non-quadratic Smooth Convex Data Fidelity Functions
2025 · Yata, Wataru, Kume, Keita, et al. · arXiv (Cornell University)
PDF
A Convexity Preserving Nonconvex Regularization for Inverse Problems under Non-Gaussian Noise
2025 · 矢田, 航, Yata, Wataru, et al. · Institutional Repositories DataBase (IRDB)
How can we design seed convex models to enjoy nonconvex regularization with cLiGME ?
2025 · 矢田航, Wataru Yata, et al. · Tokyo Tech Research Repository (Tokyo Institute of Technology)
A Discrete-Valued Signal Estimation by Nonconvex Enhancement of SOAV with cLiGME Model
2024 · 東海林, 郷志, Shoji, Satoshi, et al. · Institutional Repositories DataBase (IRDB)
A Discrete-Valued Signal Estimation with Contrastively Regularized Convex Model
2024 · 東海林, 郷志, Shoji, Satoshi, et al. · Institutional Repositories DataBase (IRDB)
How can we design seed convex models to enjoy nonconvex regularization with cLiGME ?
2024 · 矢田, 航, Yata, Wataru, et al. · Institutional Repositories DataBase (IRDB)
A Sparsity-Aware Declipping and Denoising Method by Nonconvexly Regularized Convex Models
2024 · 林, 士揚, LIN, SHIH YANG, et al. · Institutional Repositories DataBase (IRDB)
Imposing early and asymptotic constraints on LiGME with application to nonconvex enhancement of fused lasso models
2024 · 矢田, 航, Yata, Wataru, et al. · Institutional Repositories DataBase (IRDB)
A unified treatment of two types of convex constraints applicable in the cLiGME model
2023 · 矢田, 航, Yata, Wataru, et al. · Institutional Repositories DataBase (IRDB)
重複を許した分割信号のスパース表現を活かしたcLiGME型雑音除去
2023 · 村上, 侑哉, 矢田, 航, et al. · Institutional Repositories DataBase (IRDB)
Imposing early and asymptotic constraints on LiGME with application to bivariate nonconvex enhancement of fused lasso models
2023 · Yata, Wataru, Yamada, Isao · arXiv (Cornell University)
PDF
A constrained LiGME model and its proximal splitting algorithm under overall convexity condition
2022 · 矢田, 航, Yata, Wataru, et al. · Institutional Repositories DataBase (IRDB)
A constrained LiGME model for sparsity-rank aware inverse problems
2022 · 山田, 功, YAMADA, ISAO, et al. · Institutional Repositories DataBase (IRDB)
A constrained LiGME model for sparsity-rank aware least squares estimation problems
2021 · 山田, 功, YAMADA, ISAO, et al. · Institutional Repositories DataBase (IRDB)
A Constrained Linearly Involved Generalized Moreau Enhanced Model and Its Proximal Splitting Algorithm
2021 · 矢田, 航, Yata, Wataru, et al. · Institutional Repositories DataBase (IRDB)
A Convexly Constrained LiGME Model and Its Proximal Splitting Algorithm
2021 · Yata, Wataru, Yamagishi, Masao, et al. · arXiv (Cornell University)
PDF
Works count: 30
Citation count: 7
H-index: 2
I10-index:
Year
Topic
Type