1 citations · 1 across the 17 of their papers we have counts for
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Disentangling Steering Vectors
Takeru Hiramatsu, Kyohei Atarashi, Koh Takeuchi +1
Activation steering has emerged as a lightweight, inference-time approach to control the behavior of Large Language Models (LLMs). However, traditional steering vectors used to int…
Long-Term Outlier Prediction Through Outlier Score Modeling
Yuma Aoki, Joon Park, Koh Takeuchi +6
This study addresses an important gap in time series outlier detection by proposing a novel problem setting: long-term outlier prediction. Conventional methods primarily focus on i…
Robust Anomaly Detection Under Normality Distribution Shift in Dynamic Graphs
Xiaoyang Xu, Xiaofeng Lin, Koh Takeuchi +2
Anomaly detection in dynamic graphs is a critical task with broad real-world applications, including social networks, e-commerce, and cybersecurity. Most existing methods assume th…
Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models
Tianxiao Cao, Kyohei Atarashi, Hisashi Kashima
Sharpness-Aware Minimization (SAM) has been proven to be an effective optimization technique for improving generalization in overparameterized models. While prior works have explor…
Dynamic Feature Selection from Variable Feature Sets Using Features of Features
Katsumi Takahashi, Koh Takeuchi, Hisashi Kashima
Machine learning models usually assume that a set of feature values used to obtain an output is fixed in advance. However, in many real-world problems, a cost is associated with me…
Treatment Effect Estimation for Graph-Structured Targets
Shonosuke Harada, Ryosuke Yoneda, Hisashi Kashima
Treatment effect estimation, which helps understand the causality between treatment and outcome variable, is a central task in decision-making across various domains. While most st…