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20222026
most citedOrdinary Differential Equation-based Sparse Signal Recovery

1 citations · 1 across the 10 of their papers we have counts for

collaborators

11 papers

cs.LG2026

Federated Learning with Hypergradient-based Online Update of Aggregation Weights

Ayano Nakai-Kasai, Tadashi Wadayama

Federated learning using mobile and Internet of Things devices requires not only the ability to handle heterogeneity of clients' data distributions but also high adaptability to va…

eess.SP2026

Computationally Efficient Sparse Signal Recovery via Linear Sketching and Deep Unfolding

Tatsuki Tokumura, Ayano Nakai-Kasai, Tadashi Wadayama

This paper provides a sparse signal recovery algorithm, DU-PSISTA (Deep Unfolded-Periodic Sketched Iterative Shrinkage-Thresholding Algorithm), which aims to balance computational…

eess.SP2026

Online Architecture Search for Compressed Sensing based on Hypergradient Descent

Ayano Nakai-Kasai, Yusuke Nakane, Tadashi Wadayama

AS-ISTA (Architecture Searched-Iterative Shrinkage Thresholding Algorithm) and AS-FISTA (AS-Fast ISTA) are compressed sensing algorithms introducing structural parameters to ISTA a…

cs.LG2025

Multi-Output Gaussian Processes for Graph-Structured Data

Ayano Nakai-Kasai, Tadashi Wadayama

Graph-structured data is a type of data to be obtained associated with a graph structure where vertices and edges describe some kind of data correlation. This paper proposes a regr…

eess.SP2023

Ordinary Differential Equation-based MIMO Signal Detection

Ayano Nakai-Kasai, Tadashi Wadayama

The required signal processing rate in future wireless communication systems exceeds the performance of the latest electronics-based processors. Introduction of analog optical comp…

math.OC2023

Stochastic Dynamics of Noisy Average Consensus: Analysis and Optimization

Tadashi Wadayama, Ayano Nakai-Kasai

A continuous-time average consensus system is a linear dynamical system defined over a graph, where each node has its own state value that evolves according to a simultaneous linea…