most citedFredformer: Frequency Debiased Transformer for Time Series Forecasting

108 citations · 110 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2025

Data-driven Methods of Extracting Text Structure and Information Transfer

Shinichi Honna, Taichi Murayama, Akira Matsui

The Anna Karenina Principle (AKP) holds that success requires satisfying a small set of essential conditions, whereas failure takes diverse forms. We test AKP, its reverse, and two…

cs.CY2025

Global Patterns of Knowledge: Language, Genre, and the Geography of Knowledge

Akira Matsui, Fujio Toriumi, Mitsuo Yoshida +2

Online platforms, particularly Wikipedia, have become critical infrastructures for providing diverse linguistic and cultural contexts. This human-curated knowledge now forms the fo…

cs.CY2025

The "recognition," "belief," and "action" regarding conspiracy theories: An empirical study using large-scale samples from Japan and the United States

Taichi Murayama, Dongwoo Lim, Akira Matsui +1

Conspiracy theories present significant societal challenges, shaping political behavior, eroding public trust, and disrupting social cohesion. Addressing their impact requires reco…

cs.LG2024★ 108 cited

Fredformer: Frequency Debiased Transformer for Time Series Forecasting

Xihao Piao, Zheng Chen, Taichi Murayama +2

The Transformer model has shown leading performance in time series forecasting. Nevertheless, in some complex scenarios, it tends to learn low-frequency features in the data and ov…

cs.CY2024★ 2 cited

Linguistic Landscape of Generative AI Perception: A Global Twitter Analysis Across 14 Languages

Taichi Murayama, Kunihiro Miyazaki, Yasuko Matsubara +1

The advent of generative AI tools has had a profound impact on societies globally, transcending geographical boundaries. Understanding these tools' global reception and utilization…