Cover Image

Distributed Lag Transformer based on Time-Variable-Aware Learning for Explainable Multivariate Time Series Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Younghwi, Kim, Dohee, Kim, Joongrock, Sim, Sunghyun
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FEATHer: Fourier-Efficient Adaptive Temporal Hierarchy Forecaster for Time-Series Forecasting
by: Lee, Jaehoon, et al.
Published: (2026)

Legacy Learning Strategy Based on Few-Shot Font Generation Models for Automatic Text Design in Metaverse Content
by: Kim, Younghwi, et al.
Published: (2024)

IConv: Focusing on Local Variation with Channel Independent Convolution for Multivariate Time Series Forecasting
by: Lee, Gawon, et al.
Published: (2025)

Correlation recurrent units: A novel neural architecture for improving the predictive performance of time-series data
by: Sim, Sunghyun, et al.
Published: (2022)

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

ACFormer: Mitigating Non-linearity with Auto Convolutional Encoder for Time Series Forecasting
by: Lee, Gawon, et al.
Published: (2026)

Transparent Networks for Multivariate Time Series
by: Kim, Minkyu, et al.
Published: (2024)

Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection
by: Kim, HyunGi, et al.
Published: (2025)

TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state
by: Ma, Xiaowen, et al.
Published: (2025)

FAiT: Frequency-Aware Inverted Transformer for Multivariate Time Series Forecasting
by: He, Peng, et al.
Published: (2026)

HTMformer: Hybrid Time and Multivariate Transformer for Time Series Forecasting
by: Wang, Tan, et al.
Published: (2025)

Structure-Aware Set Transformers: Temporal and Variable-Type Attention Biases for Asynchronous Clinical Time Series
by: Lee, Joohyung, et al.
Published: (2026)

Spatio-temporal Multivariate Time Series Forecast with Chosen Variables
by: Liu, Zibo, et al.
Published: (2025)

TiVaT: A Transformer with a Single Unified Mechanism for Capturing Asynchronous Dependencies in Multivariate Time Series Forecasting
by: Ha, Junwoo, et al.
Published: (2024)

PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting
by: Yu, Yongbo, et al.
Published: (2024)

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

CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
by: Lu, Jiecheng, et al.
Published: (2024)

An Adversarial Learning Approach to Irregular Time-Series Forecasting
by: Nam, Heejeong, et al.
Published: (2024)

JustDense: Just using Dense instead of Sequence Mixer for Time Series analysis
by: Park, TaekHyun, et al.
Published: (2025)

TraM : Enhancing User Sleep Prediction with Transformer-based Multivariate Time Series Modeling and Machine Learning Ensembles
by: Kim, Jinjae, et al.
Published: (2024)

Explainable and Interpretable Forecasts on Non-Smooth Multivariate Time Series for Responsible Gameplay
by: Jagirdar, Hussain, et al.
Published: (2025)

DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting
by: Liu, Qinshuo, et al.
Published: (2024)

Interpretable Multivariate Time Series Forecasting Using Neural Fourier Transform
by: Koren, Noam, et al.
Published: (2024)

Multi-scale Transformer Pyramid Networks for Multivariate Time Series Forecasting
by: Zhang, Yifan, et al.
Published: (2023)

Ister: Linear Transformer for Efficient Multivariate Time Series Forecasting
by: Cao, Fanpu, et al.
Published: (2024)

MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer
by: Han, Wenyong, et al.
Published: (2024)

HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting
by: Feng, Shibo, et al.
Published: (2025)

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

A Comprehensive Survey of Deep Learning for Time Series Forecasting: Architectural Diversity and Open Challenges
by: Kim, Jongseon, et al.
Published: (2024)

Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study
by: Leites, José, et al.
Published: (2024)

CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift
by: Kim, HyunGi, et al.
Published: (2026)

Continuous-Time Linear Positional Embedding for Irregular Time Series Forecasting
by: Kim, Byunghyun, et al.
Published: (2024)

Stationarity Exploration for Multivariate Time Series Forecasting
by: Liu, Hao, et al.
Published: (2025)

IBN: An Interpretable Bidirectional-Modeling Network for Multivariate Time Series Forecasting with Variable Missing
by: Ma, Shusen, et al.
Published: (2025)

Transformer-based Multivariate Time Series Anomaly Localization
by: Shimillas, Charalampos, et al.
Published: (2025)

TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
by: Wang, Yuxuan, et al.
Published: (2024)

Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness
by: Jang, Jinkwan, et al.
Published: (2025)

Causal Disentanglement Learning for Accurate Anomaly Detection in Multivariate Time Series
by: Kim, Wonah, et al.
Published: (2025)

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting
by: Yue, Wenzhen, et al.
Published: (2025)

Sparse Transformer with Local and Seasonal Adaptation for Multivariate Time Series Forecasting
by: Zhang, Yifan, et al.
Published: (2023)