iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

10 October 2023

Yong Liu

Papers citing "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting"

50 / 51 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
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
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Muyao Zhong Yushi Lin Peng Yang AI4TS 49 0 0 04 May 2025
FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly Detection Wenxin Zhang Ding Xu Guangzhen Yao Xiaojian Lin Renxiang Guan Chengze Du Renda Han Xi Xuan Cuicui Luo AI4TS 47 0 0 02 May 2025
Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts Wenfa Wu Guanyu Zhang Zheng Tan Yi Wang Hongsheng Qi AI4TS 35 1 0 02 May 2025
How Effective are Large Time Series Models in Hydrology? A Study on Water Level Forecasting in Everglades Rahuul Rangaraj Jimeng Shi Azam Shirali Rajendra Paudel Yanzhao Wu Giri Narasimhan 32 0 0 02 May 2025
Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting Chengsen Wang Q. Qi J. Wang Haifeng Sun Zirui Zhuang J. Liao AI4TS 42 0 0 01 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
Rethinking Time Encoding via Learnable Transformation Functions Xi Chen Yateng Tang Jiarong Xu Jiawei Zhang Siwei Zhang Sijia Peng Xuehao Zheng Yun Xiong AI4TS 49 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
Transformer representation learning is necessary for dynamic multi-modal physiological data on small-cohort patients Bingxu Wang Kunzhi Cai Yuqi Zhang Yachong Guo Zeyi Zhou Yachong Guo Yachong Guo Wei Wang Qing Zhou MedIm 26 0 0 05 Apr 2025
BioMamba: Leveraging Spectro-Temporal Embedding in Bidirectional Mamba for Enhanced Biosignal Classification Jian Qian Teck Lun Goh Bingyu Xie Chengyao Zhu Biao Wan Yawen Guan Rachel Ding Chen Patrick Chiang Mamba 45 0 0 14 Mar 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
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data Ege Onur Taga M. E. Ildiz Samet Oymak AI4TS 45 2 0 22 Feb 2025
PPGF: Probability Pattern-Guided Time Series Forecasting Yanru Sun Zongxia Xie Haoyu Xing Hualong Yu Q. Hu AI4TS 41 0 0 18 Feb 2025
Channel Dependence, Limited Lookback Windows, and the Simplicity of Datasets: How Biased is Time Series Forecasting? Ibram Abdelmalak Kiran Madhusudhanan Jungmin Choi Maximilian Stubbemann Lars Schmidt-Thieme AI4TS 65 1 0 17 Feb 2025
Hedge Fund Portfolio Construction Using PolyModel Theory and iTransformer Siqiao Zhao Zhikang Dong Zeyu Cao Raphael Douady 48 6 0 17 Feb 2025
MVGT: A Multi-view Graph Transformer Based on Spatial Relations for EEG Emotion Recognition Yanjie Cui Xiaohong Liu Jing Liang Yamin Fu 55 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
A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models Jingjing Xu Caesar Wu Yuan-Fang Li Grégoire Danoy Pascal Bouvry TPM AI4TS 35 0 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
Neural-MCRL: Neural Multimodal Contrastive Representation Learning for EEG-based Visual Decoding Yueyang Li Zijian Kang Shengyu Gong Wenhao Dong Weiming Zeng Hongjie Yan W. Siok Nizhuan Wang 52 2 0 23 Dec 2024
Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Temporal and Covariate Interactions Guang Wu Yun Wang Qian Zhou Ziyang Zhang AI4TS 69 2 0 03 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
PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting Yanlong Wang J. Xu Fei Ma Shao-Lun Huang Danny Dongning Sun Xiao-Ping Zhang AI4TS 24 1 0 03 Nov 2024
LSEAttention is All You Need for Time Series Forecasting Dizhen Liang AI4TS 29 0 0 31 Oct 2024
RAM: Replace Attention with MLP for Efficient Multivariate Time Series Forecasting Suhan Guo Jiahong Deng Yi Wei Hui Dou F. Shen Jian Zhao AI4TS 64 0 0 31 Oct 2024
FACTS: A Factored State-Space Framework For World Modelling Li Nanbo Firas Laakom Yucheng Xu Wenyi Wang Jürgen Schmidhuber AI4TS 50 0 0 28 Oct 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
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis Shiyu Wang Jiawei Li X. Shi Zhou Ye Baichuan Mo Wenze Lin Shengtong Ju Zhixuan Chu Ming Jin AI4TS 38 8 0 21 Oct 2024
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching Xingjian Wu Xiangfei Qiu Zhengyu Li Yihang Wang Jilin Hu Chenjuan Guo Hui Xiong Bin Yang AI4TS 59 12 0 16 Oct 2024
Generalizable autoregressive modeling of time series through functional narratives Ran Liu Wenrui Ma Ellen L. Zippi Hadi Pouransari Jingyun Xiao ... Behrooz Mahasseni Juri Minxha Erdrin Azemi Eva L. Dyer Ali Moin AI4TS 25 0 0 10 Oct 2024
Towards Generalisable Time Series Understanding Across Domains Özgün Turgut Philip Muller M. Menten Daniel Rueckert AI4TS 36 1 0 09 Oct 2024
Automated Detection of Defects on Metal Surfaces using Vision Transformers Toqa Alaa Mostafa Kotb Arwa Zakaria Mariam Diab Walid Gomaa 23 1 0 06 Oct 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 26 0 24 Sep 2024
Self-Supervised State Space Model for Real-Time Traffic Accident Prediction Using eKAN Networks Xin Tan Meng Zhao 32 0 0 09 Sep 2024
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic Zibo Liu Zhe Jiang Zelin Xu Tingsong Xiao Zhengkun Xiao Haibo Wang Shigang Chen AI4TS 32 0 0 02 Aug 2024
Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution Yizi Zhang Yanchen Wang Donato Jimenez-Beneto Zixuan Wang Mehdi Azabou ... Olivier Winter The International Brain Laboratory Eva L. Dyer Liam Paninski Cole Hurwitz MedIm AI4CE 26 10 0 19 Jul 2024
DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting Yuxuan Shu Vasileios Lampos AI4TS AI4CE 55 0 0 11 Jun 2024
MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting Xiuding Cai Yaoyao Zhu Xueyao Wang Yu Yao Mamba AI4TS 27 7 0 26 May 2024
Scaling Law for Time Series Forecasting Jingzhe Shi Qinwei Ma Huan Ma Lei Li AI4TS 31 8 0 24 May 2024
Adaptive Convolutional Forecasting Network Based on Time Series Feature-Driven Dandan Zhang Zhiqiang Zhang Nanguang Chen Yun Wang AI4TS 37 0 0 20 May 2024
Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals Hui Zheng Haiteng Wang Wei-Bang Jiang Zhongtao Chen Li He Pei-Yang Lin Peng-Hu Wei Guo-Guang Zhao Yun-Zhe Liu 41 1 0 19 May 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
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
Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction Cheng Feng Long Huang Denis Krompass AI4TS 8 5 0 12 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
A projected nonlinear state-space model for forecasting time series signals Christian Donner Anuj Mishra Hideaki Shimazaki AI4TS 11 0 0 22 Nov 2023
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 239 2,554 0 04 May 2021
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