:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kimura, Daichi, Izumitani, Tomonori, Kashima, Hisashi
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2506.02694
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing Chess Reinforcement Learning with Graph Representation
by: Rigaux, Tomas, et al.
Published: (2024)

Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models
by: Cao, Tianxiao, et al.
Published: (2025)

Treatment Effect Estimation with Differentiated Networked Effect on Graph Data
by: Lin, Xiaofeng, et al.
Published: (2026)

PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting
by: Wang, Yanlong, et al.
Published: (2024)

Decentralized Attention Fails Centralized Signals: Rethinking Transformers for Medical Time Series
by: Yu, Guoqi, et al.
Published: (2026)

CAPS: Unifying Attention, Recurrence, and Alignment in Transformer-based Time Series Forecasting
by: Pati, Viresh, et al.
Published: (2026)

Capture Timing-Attention of Events in Clinical Time Series
by: Li, Jia, et al.
Published: (2026)

Attention as Robust Representation for Time Series Forecasting
by: Niu, PeiSong, et al.
Published: (2024)

Revisiting Attention for Multivariate Time Series Forecasting
by: Wu, Haixiang
Published: (2024)

Are Self-Attentions Effective for Time Series Forecasting?
by: Kim, Dongbin, et al.
Published: (2024)

Patch-Level Tokenization with CNN Encoders and Attention for Improved Transformer Time-Series Forecasting
by: Nagrath, Saurish, et al.
Published: (2026)

Nexusformer: Nonlinear Attention Expansion for Stable and Inheritable Transformer Scaling
by: Zhao, Weijie, et al.
Published: (2026)

BRATI: Bidirectional Recurrent Attention for Time-Series Imputation
by: Collado-Villaverde, Armando, et al.
Published: (2025)

PENGUIN: Enhancing Transformer with Periodic-Nested Group Attention for Long-term Time Series Forecasting
by: Sun, Tian, et al.
Published: (2025)

StretchTime: Adaptive Time Series Forecasting via Symplectic Attention
by: Kim, Yubin, et al.
Published: (2026)

VSFormer: Value and Shape-Aware Transformer with Prior-Enhanced Self-Attention for Multivariate Time Series Classification
by: Xi, Wenjie, et al.
Published: (2024)

FISformer: Replacing Self-Attention with a Fuzzy Inference System in Transformer Models for Time Series Forecasting
by: Haznedar, Bulent, et al.
Published: (2026)

EffiCANet: Efficient Time Series Forecasting with Convolutional Attention
by: Zhou, Xinxing, et al.
Published: (2024)

Beyond Similarity: Temporal Operator Attention for Time Series Analysis
by: Twitty, Jevon, et al.
Published: (2026)

Transfer Learning with Pre-trained Conditional Generative Models
by: Yamaguchi, Shin'ya, et al.
Published: (2022)

Curse of Attention: A Kernel-Based Perspective for Why Transformers Fail to Generalize on Time Series Forecasting and Beyond
by: Ke, Yekun, et al.
Published: (2024)

DPANet: Dual Pyramid Attention Network for Multivariate Time Series Forecasting
by: Li, Qianyang, et al.
Published: (2025)

FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation
by: Li, Runze, et al.
Published: (2025)

PeriodNet: Boosting the Potential of Attention Mechanism for Time Series Forecasting
by: Zhao, Bowen, et al.
Published: (2025)

Surprised by Attention: Predictable Query Dynamics for Time Series Anomaly Detection
by: Özer, Kadir-Kaan, et al.
Published: (2026)

Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting
by: Kang, Bong Gyun, et al.
Published: (2024)

FAITH: Frequency-domain Attention In Two Horizons for Time Series Forecasting
by: Li, Ruiqi, et al.
Published: (2024)

VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting
by: Yang, Yingnan, et al.
Published: (2024)

The Strong Lottery Ticket Hypothesis for Multi-Head Attention Mechanisms
by: Otsuka, Hikari, et al.
Published: (2025)

Efficient Linear Attention for Multivariate Time Series Modeling via Entropy Equality
by: Zhang, Mingtao, et al.
Published: (2025)

TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series
by: Ashok, Arjun, et al.
Published: (2023)

The Bayesian Geometry of Transformer Attention
by: Agarwal, Naman, et al.
Published: (2025)

Attention Schema-based Attention Control (ASAC): A Cognitive-Inspired Approach for Attention Management in Transformers
by: Saxena, Krati, et al.
Published: (2025)

Geometric Attention: A Regime-Explicit Operator Semantics for Transformer Attention
by: Freytes, Luis Rosario
Published: (2026)

Continuous-Time Attention: PDE-Guided Mechanisms for Long-Sequence Transformers
by: Zhang, Yukun, et al.
Published: (2025)

Triple Attention Transformer Architecture for Time-Dependent Concrete Creep Prediction
by: Dokduea, Warayut, et al.
Published: (2025)

TANDEM: Temporal Attention-guided Neural Differential Equations for Missingness in Time Series Classification
by: Oh, YongKyung, et al.
Published: (2025)

Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation
by: Qian, Linglong, et al.
Published: (2024)

Fourier-Mixed Window Attention: Accelerating Informer for Long Sequence Time-Series Forecasting
by: Tran, Nhat Thanh, et al.
Published: (2023)

Global Cross-Time Attention Fusion for Enhanced Solar Flare Prediction from Multivariate Time Series
by: Vural, Onur, et al.
Published: (2025)