Copertina

Boosting MLPs with a Coarsening Strategy for Long-Term Time Series Forecasting

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bian, Nannan, Zhu, Minhong, Chen, Li, Cai, Weiran
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Hybrid Focal and Full-Range Attention Based Graph Transformers
di: Zhu, Minhong, et al.
Pubblicazione: (2023)

Why Attention Fails: The Degeneration of Transformers into MLPs in Time Series Forecasting
di: Liang, Zida, et al.
Pubblicazione: (2025)

Hyperparameter Tuning MLPs for Probabilistic Time Series Forecasting
di: Madhusudhanan, Kiran, et al.
Pubblicazione: (2024)

TimeExpert: Boosting Long Time Series Forecasting with Temporal Mix of Experts
di: Ma, Xiaowen, et al.
Pubblicazione: (2025)

TFKAN: Time-Frequency KAN for Long-Term Time Series Forecasting
di: Kui, Xiaoyan, et al.
Pubblicazione: (2025)

CT-PatchTST: Channel-Time Patch Time-Series Transformer for Long-Term Renewable Energy Forecasting
di: Lu, Kuan, et al.
Pubblicazione: (2025)

Multiplex Graph Contrastive Learning with Soft Negatives
di: Zhao, Zhenhao, et al.
Pubblicazione: (2024)

AverageTime: Enhance Long-Term Time Series Forecasting with Simple Averaging
di: Zhao, Gaoxiang, et al.
Pubblicazione: (2024)

Unlocking the Power of LSTM for Long Term Time Series Forecasting
di: Kong, Yaxuan, et al.
Pubblicazione: (2024)

Loss Shaping Constraints for Long-Term Time Series Forecasting
di: Hounie, Ignacio, et al.
Pubblicazione: (2024)

ReNF: Rethinking the Design of Neural Long-Term Time Series Forecasters
di: Lu, Yihang, et al.
Pubblicazione: (2025)

There are no Champions in Supervised Long-Term Time Series Forecasting
di: Brigato, Lorenzo, et al.
Pubblicazione: (2025)

FRWKV:Frequency-Domain Linear Attention for Long-Term Time Series Forecasting
di: Yang, Qingyuan, et al.
Pubblicazione: (2025)

BEAT: Balanced Frequency Adaptive Tuning for Long-Term Time-Series Forecasting
di: Li, Zhixuan, et al.
Pubblicazione: (2025)

StoxLSTM: A Stochastic Extended Long Short-Term Memory Network for Time Series Forecasting
di: Wang, Zihao, et al.
Pubblicazione: (2025)

Modeling Temporal Dependencies within the Target for Long-Term Time Series Forecasting
di: Xiong, Qi, et al.
Pubblicazione: (2024)

The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting
di: Shen, Lefei, et al.
Pubblicazione: (2025)

Disentangled Parameter-Efficient Linear Model for Long-Term Time Series Forecasting
di: Zhao, Yuang, et al.
Pubblicazione: (2024)

MDMLP-EIA: Multi-domain Dynamic MLPs with Energy Invariant Attention for Time Series Forecasting
di: Zhang, Hu, et al.
Pubblicazione: (2025)

A Multi-scale Representation Learning Framework for Long-Term Time Series Forecasting
di: Gao, Boshi, et al.
Pubblicazione: (2025)

KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series Forecasting
di: Ye, Hang, et al.
Pubblicazione: (2025)

Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
di: Cai, Ruichu, et al.
Pubblicazione: (2025)

AWEMixer: Adaptive Wavelet-Enhanced Mixer Network for Long-Term Time Series Forecasting
di: Li, Qianyang, et al.
Pubblicazione: (2025)

DPWMixer: Dual-Path Wavelet Mixer for Long-Term Time Series Forecasting
di: Qianyang, Li, et al.
Pubblicazione: (2025)

WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting
di: Murad, Md Mahmuddun Nabi, et al.
Pubblicazione: (2024)

Accelerating Long-Term Molecular Dynamics with Physics-Informed Time-Series Forecasting
di: Le, Hung, et al.
Pubblicazione: (2025)

BSAT: B-Spline Adaptive Tokenizer for Long-Term Time Series Forecasting
di: Reinwardt, Maximilian, et al.
Pubblicazione: (2026)

Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting
di: Li, Feifei, et al.
Pubblicazione: (2024)

HADL Framework for Noise Resilient Long-Term Time Series Forecasting
di: Dey, Aditya, et al.
Pubblicazione: (2025)

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

Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting
di: Aguilera-Martos, Ignacio, et al.
Pubblicazione: (2024)

ISMRNN: An Implicitly Segmented RNN Method with Mamba for Long-Term Time Series Forecasting
di: Zhao, GaoXiang, et al.
Pubblicazione: (2024)

Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series Forecasting
di: Staniek, Michael, et al.
Pubblicazione: (2024)

PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting
di: Gong, Zeying, et al.
Pubblicazione: (2023)

Unified Long-Term Time-Series Forecasting Benchmark
di: Cyranka, Jacek, et al.
Pubblicazione: (2023)

TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation
di: Ni, Juntong, et al.
Pubblicazione: (2025)

Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
di: Hu, Jiaxi, et al.
Pubblicazione: (2024)

Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks
di: Ma'sum, Muhammad Anwar, et al.
Pubblicazione: (2024)

PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations
di: Qi, Shiyi, et al.
Pubblicazione: (2024)

Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs?
di: Liang, Daojun, et al.
Pubblicazione: (2023)