Long-term Forecasting with TiDE: Time-series Dense Encoder

17 April 2023

Papers citing "Long-term Forecasting with TiDE: Time-series Dense Encoder"

28 / 28 papers shown

Title
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Yiming Niu Jinliang Deng L. Zhang Zimu Zhou Yongxin Tong AI4TS 21 0 0 09 May 2025
Retrieval Augmented Time Series Forecasting Sungwon Han Seungeon Lee M. Cha Sercan Ö. Arik Jinsung Yoon AI4TS 23 0 0 07 May 2025
SCFormer: Structured Channel-wise Transformer with Cumulative Historical State for Multivariate Time Series Forecasting Shiwei Guo Z. Chen Yupeng Ma Yunfei Han Yi Wang AI4TS 47 0 0 05 May 2025
2DXformer: Dual Transformers for Wind Power Forecasting with Dual Exogenous Variables Y. Zhang Jiahai Jiang Yule Yan Liang Yang Ping Zhang AI4TS 12 0 0 02 May 2025
Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gated Representations Yu-Hsiang Lan Anton Alyakin AI4TS 21 0 0 01 May 2025
TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Robert Leppich Michael Stenger Daniel Grillmeyer Vanessa Borst Samuel Kounev AI4TS AI4CE 62 0 0 26 Apr 2025
iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network Ziran Liang Rui An Wenqi Fan Yanghui Rao Yuxuan Liang AI4TS 37 0 0 23 Apr 2025
Improving Significant Wave Height Prediction Using Chronos Models Yilin Zhai Hongyuan Shi Chao Zhan Qing Wang Zaijin You Nan Wang AI4Cl AI4CE 37 0 0 23 Apr 2025
PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting Yanhong Li D. Anastasiu AI4TS 31 0 0 27 Feb 2025
FLARE: A Framework for Stellar Flare Forecasting using Stellar Physical Properties and Historical Records Bingke Zhu Xiaoxiao Wang Minghui Jia Yihan Tao Xiao Kong Ali Luo Yingying Chen Ming Tang J. T. Wang 40 0 0 25 Feb 2025
Leveraging Hypernetworks and Learnable Kernels for Consumer Energy Forecasting Across Diverse Consumer Types Muhammad Umair Danish Katarina Grolinger AI4TS 74 3 0 07 Feb 2025
Sparsity-Aware Distributed Learning for Gaussian Processes with Linear Multiple Kernel Richard Cornelius Suwandi Zhidi Lin Feng Yin Zhiguo Wang Sergios Theodoridis GP 59 1 0 17 Jan 2025
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis Sabera Talukder Yisong Yue Georgia Gkioxari AI4TS 40 12 0 03 Jan 2025
DRDM: A Disentangled Representations Diffusion Model for Synthesizing Realistic Person Images Enbo Huang Yuan Zhang Faliang Huang Guangyu Zhang Y. Liu DiffM 37 0 0 25 Dec 2024
GG-SSMs: Graph-Generating State Space Models Nikola Zubić Davide Scaramuzza Mamba 86 1 0 17 Dec 2024
Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting Yuang Zhao Tianyu Li Jiadong Chen Shenrong Ye Fuxin Jiang Tieying Zhang Xiaofeng Gao AI4TS 88 0 0 26 Nov 2024
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting Guoqi Yu Yaoming Li Xiaoyu Guo Dayu Wang Zirui Liu Shujun Wang Tong Yang AI4TS 40 0 0 22 Oct 2024
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba Li Wu Wenbin Pei Jiulong Jiao Qiang Zhang Mamba AI4TS 20 2 0 15 Oct 2024
Zero-shot forecasting of chaotic systems Yuanzhao Zhang William Gilpin AI4TS 37 4 0 24 Sep 2024
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts X. Shi Shiyu Wang Yuqi Nie Dianqi Li Zhou Ye Qingsong Wen Ming Jin AI4TS 34 24 0 24 Sep 2024
Efficient Deterministic Renewable Energy Forecasting Guided by Multiple-Location Weather Data C. Symeonidis N. Nikolaidis 19 0 0 26 Apr 2024
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning Peiyuan Liu Hang Guo Tao Dai Naiqi Li Jigang Bao Xudong Ren Yong Jiang Shu-Tao Xia AI4TS 62 16 0 12 Mar 2024
Edge-based Parametric Digital Twins for Intelligent Building Indoor Climate Modeling Zhongjun Ni Chi Zhang M. Karlsson Shaofang Gong AI4CE 21 0 0 07 Mar 2024
UNITS: A Unified Multi-Task Time Series Model Shanghua Gao Teddy Koker Owen Queen Thomas Hartvigsen Theodoros Tsiligkaridis Marinka Zitnik AI4TS 34 15 0 29 Feb 2024
FreDF: Learning to Forecast in the Frequency Domain Hao Wang Licheng Pan Zhichao Chen Degui Yang Sen Zhang Yifei Yang Xinggao Liu Haoxuan Li Dacheng Tao AI4TS 54 12 0 04 Feb 2024
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks Haowen Hou F. Richard Yu AI4TS 28 19 0 17 Jan 2024
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting Shengsheng Lin Weiwei Lin Wentai Wu Feiyu Zhao Ruichao Mo Haotong Zhang AI4TS 18 48 0 22 Aug 2023
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 164 3,799 0 14 Dec 2020