Diffusion LMS using consensus propagation. - Ayano Nakai; Kazunori Hayashi (APSIPA, 2017)

Uplink Overloaded MU-MIMO OFDM Signal Detection Methods using Convex Optimization. - Kazunori Hayashi; Ayano Nakai; Ryo Hayakawa; Sangseok Ha (APSIPA, 2018)

Distributed Approximate Message Passing with Summation Propagation. - Ryo Hayakawa; Ayano Nakai; Kazunori Hayashi (ICASSP, 2018)

An Adaptive Combination Rule for Diffusion LMS Based on Consensus Propagation. - Ayano Nakai; Kazunori Hayashi (ICASSP, 2018)

An Overloaded SC-CP IoT Signal Detection Method via Sparse Complex Discrete-Valued Vector Reconstruction. - Kazunori Hayashi; Ayano Nakai-Kasai; Ryo Hayakawa (APSIPA, 2019)

Diffusion LMS Based on Message Passing Algorithm. - Ayano Nakai-Kasai; Kazunori Hayashi (IEEE Access, 2019)

An Overloaded IoT Signal Detection Method using Non-convex Sparse Regularizers. - Kazunori Hayashi; Ayano Nakai-Kasai; Atsuya Hirayama; Hiroki Honda; Tetsuya Sasaki; Hideki Yasukawa; Ryo Hayakawa (APSIPA, 2020)

Optimal Combination Weight for Sparse Diffusion Least-Mean-Square based on Consensus Propagation. - Ayano Nakai-Kasai; Kazunori Hayashi (APSIPA, 2020)

I/O Performance of the SX-Aurora TSUBASA. - Mitsuo Yokokawa; Ayano Nakai; Kazuhiko Komatsu; Yuta Watanabe; Yasuhisa Masaoka; Yoko Isobe; Hiroaki Kobayashi (IPDPS Workshops, 2020)

An Acceleration Method of Sparse Diffusion LMS based on Message Propagation. - Ayano Nakai-Kasai; Kazunori Hayashi (IEICE Trans. Commun., 2021)

MMSE Signal Detection for MIMO Systems based on Ordinary Differential Equation. - Ayano Nakai-Kasai; Tadashi Wadayama (GLOBECOM, 2022)

Precoder Design for Correlated Data Aggregation via Over-the-Air Computation in Sensor Networks. - Ayano Nakai-Kasai; Tadashi Wadayama (GLOBECOM (Workshops), 2022)

Continuous-Time Noisy Average Consensus System as Gaussian Multiple Access Channel. - Tadashi Wadayama; Ayano Nakai-Kasai (ISIT, 2022)

Ordinary Differential Equation-based Sparse Signal Recovery. - Tadashi Wadayama; Ayano Nakai-Kasai (ISITA, 2022)

Deep Unfolding-based Weighted Averaging for Federated Learning under Heterogeneous Environments. - Ayano Nakai-Kasai; Tadashi Wadayama (CoRR, 2022)

Nested aggregation of experts using inducing points for approximated Gaussian process regression. - Ayano Nakai-Kasai; Toshiyuki Tanaka (Mach. Learn., 2022)

Deep Unfolding-based Distributed MIMO Detection. - Masaya Kumagai; Ayano Nakai-Kasai; Tadashi Wadayama (APSIPA ASC, 2023)

Gradient Flow Decoding for LDPC Codes. - Tadashi Wadayama; Kensho Nakajima; Ayano Nakai-Kasai (ISTC, 2023)

Stochastic Dynamics of Noisy Average Consensus: Analysis and Optimization. - Tadashi Wadayama; Ayano Nakai-Kasai (CoRR, 2023)

Deep Unfolding-Assisted Fully Decentralized Projected Gradient MIMO Detection Algorithm. - Masaya Kumagai; Tadashi Wadayama; Ayano Nakai-Kasai (ICC, 2024)

MZI-Based Optical Circuit for MIMO Signal Detector Immune to Fabrication Errors. - Takumi Nishiyama; Tadashi Wadayama; Ayano Nakai-Kasai (ISITA, 2024)

Continuous-Time Sparse Signal Recovery. - Tadashi Wadayama; Ayano Nakai-Kasai (IEEE Access, 2024)

PSOR-Jacobi Algorithm for Accelerated MMSE MIMO Detection. - Asahi Mizukoshi; Ayano Nakai-Kasai; Tadashi Wadayama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024)

Precoder Optimization Using Data Correlation for Wireless Data Aggregation. - Ayano Nakai-Kasai; Naoyuki Hayashi; Tadashi Wadayama (IEICE Trans. Commun., 2024)

Ordinary Differential Equation-Based MIMO Signal Detection. - Ayano Nakai-Kasai; Tadashi Wadayama (IEEE Trans. Signal Process., 2024)

Mean Squared Error Analysis of Noisy Average Consensus. - Tadashi Wadayama; Ayano Nakai-Kasai (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2025)

Deep Unfolding-Based Weighted Averaging for Federated Learning Under Device and Statistical Heterogeneous Environments. - Ayano Nakai-Kasai; Tadashi Wadayama (IEICE Trans. Commun., 2025)

Multi-Output Gaussian Processes for Graph-Structured Data. - Ayano Nakai-Kasai; Tadashi Wadayama (CoRR, 2025)