論文

• Satoshi Shoji, Wataru Yata, Keita Kume, ISAO YAMADA. An LiGME Regularizer of Designated Isolated Minimizers - An Application to Discrete-Valued Signal Estimation, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, IEICE, Vol. E108-A, No. 12, Dec. 2025.
• Wataru Yata, Masao Yamagishi, Isao Yamada. A constrained LiGME model and its proximal splitting algorithm under overall convexity condition, Journal of Applied and Numerical Optimization, Volume 4, Issue 2, pp. 245-271, Aug. 2022.

国際会議発表 (査読有り)

• Wataru Yata, Keita Kume, ISAO YAMADA. A Convexity Preserving Nonconvex Regularization for Inverse Problems under Non-Gaussian Noise, EUSIPCO 2025, Sept. 2025.
• Satoshi Shoji, Wataru Yata, Keita Kume, Isao Yamada. A Discrete-Valued Signal Estimation by Nonconvex Enhancement of SOAV with cLiGME Model, 2024 Asia Pscific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Proceedings of 2024 APSIPA Annual Summit and Conference, Dec. 2024.
• Wataru Yata, Isao Yamada. Imposing early and asymptotic constraints on LiGME with application to nonconvex enhancement of fused lasso models, IEEE ICASSP 2024, Apr. 2024.
• Wataru Yata, Masao Yamagishi, Isao Yamada. A Constrained Linearly Involved Generalized Moreau Enhanced Model and Its Proximal Splitting Algorithm, 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), Proc. IEEE MLSP 2021, Oct. 2021.

国際会議発表 (査読なし・不明)

• Isao Yamada, Wataru Yata, Masao Yamagishi. A constrained LiGME model for sparsity-rank aware inverse problems, 2022 SIAM Conference on Imaging Science - Minisymposium Session: Advanced Nonlinear Analysis Tools in Image Recovery, Mar. 2022.
• Isao Yamada, Wataru Yata, Masao Yamagishi. A constrained LiGME model for sparsity-rank aware least squares estimation problems, A workshop on optimization and operator theory dedicated to Prof. Lev Bregman, Nov. 2021.

国内会議発表 (査読なし・不明)

• Shih-Yang Lin, Wataru Yata, Keita Kume, Isao Yamada. A Sparsity-Aware Declipping and Denoising Method by Nonconvexly Regularized Convex Models, 第39回信号処理シンポジウム, Dec. 2024.
• 村上侑哉, 矢田航, 久米啓太, 山田功. 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, 信号処理シンポジウム, Nov. 2023.
• Wataru Yata, Isao Yamada. A unified treatment of two types of convex constraints applicable in the cLiGME model, 第38回信号処理シンポジウム, Proceedings of IEICE Signal Processing Symposium 2023, Nov. 2023.

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