Cover Image

Transformer Multivariate Forecasting: Less is More?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Jingjing, Wu, Caesar, Li, Yuan-Fang, Bouvry, Pascal
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Survey and Taxonomy: The Role of Data-Centric AI in Transformer-Based Time Series Forecasting
by: Xu, Jingjing, et al.
Published: (2024)

A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models
by: Xu, Jingjing, et al.
Published: (2025)

Trustworthiness of Stochastic Gradient Descent in Distributed Learning
by: Li, Hongyang, et al.
Published: (2024)

Dataset | Mindset = Explainable AI | Interpretable AI
by: Wu, Caesar, et al.
Published: (2024)

Less is More: on the Over-Globalizing Problem in Graph Transformers
by: Xing, Yujie, et al.
Published: (2024)

Less Is More -- On the Importance of Sparsification for Transformers and Graph Neural Networks for TSP
by: Lischka, Attila, et al.
Published: (2024)

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

Supernova: Achieving More with Less in Transformer Architectures
by: Tanase, Andrei-Valentin, et al.
Published: (2025)

EnTransformer: A Deep Generative Transformer for Multivariate Probabilistic Forecasting
by: Pathak, Rajdeep, et al.
Published: (2026)

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

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

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

Are KANs Effective for Multivariate Time Series Forecasting?
by: Han, Xiao, et al.
Published: (2024)

Knowledge-enhanced Transformer for Multivariate Long Sequence Time-series Forecasting
by: Kakde, Shubham Tanaji, et al.
Published: (2024)

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

Enhancing Solar Driver Forecasting with Multivariate Transformers
by: Sanchez-Hurtado, Sergio, et al.
Published: (2024)

Less is More: Recursive Reasoning with Tiny Networks
by: Jolicoeur-Martineau, Alexia
Published: (2025)

PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting
by: Li, Yanhong, et al.
Published: (2025)

LIMR: Less is More for RL Scaling
by: Li, Xuefeng, et al.
Published: (2025)

Forget Less, Generalize More: Unifying Temporal and Structural Adaptation for Dynamic Graphs
by: Chang, Qian, et al.
Published: (2026)

Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting
by: Wang, Muyao, et al.
Published: (2024)

Less is More: Undertraining Experts Improves Model Upcycling
by: Horoi, Stefan, et al.
Published: (2025)

Learn More, Forget Less: A Gradient-Aware Data Selection Approach for LLM
by: Liu, Yibai, et al.
Published: (2025)

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

Less is More: Denoising Knowledge Graphs For Retrieval Augmented Generation
by: Zheng, Yilun, et al.
Published: (2025)

Training Green AI Models Using Elite Samples
by: Alswaitti, Mohammed, et al.
Published: (2024)

Draft Less, Retrieve More: Hybrid Tree Construction for Speculative Decoding
by: Shen, Yuhao, et al.
Published: (2026)

SCFormer: Structured Channel-wise Transformer with Cumulative Historical State for Multivariate Time Series Forecasting
by: Guo, Shiwei, et al.
Published: (2025)

DSAT-HD: Dual-Stream Adaptive Transformer with Hybrid Decomposition for Multivariate Time Series Forecasting
by: Wang, Zixu, et al.
Published: (2025)

Lightweight Trustworthy Distributed Clustering
by: Li, Hongyang, et al.
Published: (2025)

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

Adapformer: Adaptive Channel Management for Multivariate Time Series Forecasting
by: Luo, Yuchen, et al.
Published: (2025)

When More is Less: Understanding Chain-of-Thought Length in LLMs
by: Wu, Yuyang, et al.
Published: (2025)

Less is More: Pseudo-Label Filtering for Continual Test-Time Adaptation
by: Tan, Jiayao, et al.
Published: (2024)

TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting
by: Hu, Jiaxi, et al.
Published: (2024)

Nearest Neighbor Multivariate Time Series Forecasting
by: Zhang, Huiliang, et al.
Published: (2025)

AltTS: A Dual-Path Framework with Alternating Optimization for Multivariate Time Series Forecasting
by: Yuan, Zhihang, et al.
Published: (2026)

Leveraging Multivariate Long-Term History Representation for Time Series Forecasting
by: Zhang, Huiliang, et al.
Published: (2025)

No More, No Less: Task Alignment in Terminal Agents
by: Mavali, Sina, et al.
Published: (2026)

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