Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data. - Nakamasa Inoue; Eisuke Yamagata; Hirokatsu Kataoka (ICPR, 2020)

Recovery of Time Series of Graph Signals Over Dynamic Topology. - Eisuke Yamagata; Shunsuke Ono (APSIPA ASC, 2021)

Formula-driven Supervised Learning with Recursive Tiling Patterns. - Hirokatsu Kataoka; Asato Matsumoto; Ryosuke Yamada; Yutaka Satoh; Eisuke Yamagata; Nakamasa Inoue (ICCVW, 2021)

Spatiotemporal Initialization for 3D CNNs with Generated Motion Patterns. - Hirokatsu Kataoka; Kensho Hara; Ryusuke Hayashi; Eisuke Yamagata; Nakamasa Inoue (WACV, 2022)

Pre-Training Without Natural Images. - Hirokatsu Kataoka; Kazushige Okayasu; Asato Matsumoto; Eisuke Yamagata; Ryosuke Yamada; Nakamasa Inoue; Akio Nakamura; Yutaka Satoh (Int. J. Comput. Vis., 2022)

Sparse Index Tracking: Simultaneous Asset Selection and Capital Allocation via 𝓁0-Constrained Portfolio. - Eisuke Yamagata; Shunsuke Ono (CoRR, 2023)

Pseudo-Outlier Synthesis Using Q-Gaussian Distributions for Out-of-Distribution Detection. - Ryo Nakamura; Ryu Tadokoro; Eisuke Yamagata; Yusuke Kondo; Kensho Hara; Hirokatsu Kataoka; Nakamasa Inoue (ICASSP, 2024)

Risk-Managed Sparse Index Tracking Via Market Graph Clustering. - Eisuke Yamagata; Shunsuke Ono (ICASSP, 2024)

Robust Time-Varying Graph Signal Recovery for Dynamic Physical Sensor Network Data. - Eisuke Yamagata; Kazuki Naganuma; Shunsuke Ono (IEEE Trans. Signal Inf. Process. over Networks, 2025)