Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting

22 February 2023

Papers citing "Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting"

40 / 40 papers shown

Title
Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism Yuqi Xiong Yang Wen AI4TS 31 0 0 11 May 2025
Non-stationary Diffusion For Probabilistic Time Series Forecasting Weiwei Ye Zhuopeng Xu Ning Gui DiffM 56 0 0 07 May 2025
Pets: General Pattern Assisted Architecture For Time Series Analysis Xiangkai Ma Xiaobin Hong Wenzhong Li Sanglu Lu AI4TS 32 0 0 19 Apr 2025
Bridging Distribution Gaps in Time Series Foundation Model Pretraining with Prototype-Guided Normalization Peiliang Gong Emadeldeen Eldele Min Wu Zhenghua Chen Xiaoli Li Daoqiang Zhang AI4TS AI4CE 44 0 0 15 Apr 2025
DRAN: A Distribution and Relation Adaptive Network for Spatio-temporal Forecasting Xiaobei Zou Luolin Xiong Kexuan Zhang Cesare Alippi Yang Tang AI4TS 44 0 0 02 Apr 2025
Learning Latent Spaces for Domain Generalization in Time Series Forecasting Songgaojun Deng Maarten de Rijke CML AI4TS OOD BDL 70 0 0 15 Dec 2024
Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts Haiyang Jiang Tong Chen W. Zhang Nguyen Quoc Viet Hung Yuan Yuan Yong Li Lizhen Cui OOD AI4TS 169 1 0 07 Dec 2024
UTSD: Unified Time Series Diffusion Model Xiangkai Ma Xiaobin Hong Wenzhong Li Sanglu Lu 79 0 0 04 Dec 2024
Incorporating Long-term Data in Training Short-term Traffic Prediction Model Xiannan Huang Shuhan Qiu Yan Cheng Quan Yuan Chao Yang AI4TS 30 0 0 16 Oct 2024
Towards Neural Scaling Laws for Time Series Foundation Models Qingren Yao Chao-Han Huck Yang Renhe Jiang Yuxuan Liang Ming Jin Shirui Pan AI4TS AI4CE 42 7 0 16 Oct 2024
Are KAN Effective for Identifying and Tracking Concept Drift in Time Series? Kunpeng Xu Lifei Chen Shengrui Wang AI4TS 32 0 0 13 Oct 2024
Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift Yanru Sun Zongxia Xie Emadeldeen Eldele Dongyue Chen Q. Hu Min-man Wu AI4TS 28 1 0 13 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
GAS-Norm: Score-Driven Adaptive Normalization for Non-Stationary Time Series Forecasting in Deep Learning Edoardo Urettini Daniele Atzeni Reshawn J. Ramjattan Antonio Carta AI4TS 19 0 0 04 Oct 2024
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement Gaurav Patel Christopher Sandino Behrooz Mahasseni Ellen L. Zippi Erdrin Azemi Ali Moin Juri Minxha TTA AI4TS 50 3 0 03 Oct 2024
FredNormer: Frequency Domain Normalization for Non-stationary Time Series Forecasting Xihao Piao Zheng Chen Yushun Dong Yasuko Matsubara Yasushi Sakurai OOD AI4TS 21 0 0 02 Oct 2024
Frequency Adaptive Normalization For Non-stationary Time Series Forecasting Weiwei Ye Songgaojun Deng Qiaosha Zou Ning Gui AI4TS 33 5 0 30 Sep 2024
Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts Dalin Qin Yehui Li Weiqi Chen Zhaoyang Zhu Qingsong Wen Liang Sun Pierre Pinson Yi Wang AI4TS 21 0 0 29 Sep 2024
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective Chengsen Wang Qi Qi Jingyu Wang Haifeng Sun Zirui Zhuang Jinming Wu Jianxin Liao AI4TS 26 8 0 27 Sep 2024
Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift Hui He Qi Zhang Kun Yi Xiaojun Xue Shoujin Wang Liang Hu Longbin Cao OOD AI4TS 63 0 0 18 Jul 2024
MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer Recharge Yuning Chen Kang Yang Zhiyu An Brady Holder Luke Paloutzian Khaled Bali Wan Du KELM 54 4 0 01 Jul 2024
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting Wei Fan Kun Yi Hangting Ye Zhiyuan Ning Qi Zhang Ning An AI4TS 46 8 0 29 Jun 2024
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned Du Yin Jinliang Deng Shuang Ao Zechen Li Hao Xue Arian Prabowo Renhe Jiang Xuan Song Flora Salim AI4TS 42 0 0 18 Jun 2024
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning Haoxin Liu Harshavardhan Kamarthi Lingkai Kong Zhiyuan Zhao Chao Zhang B. Aditya Prakash OODD OOD AI4TS 46 8 0 13 Jun 2024
Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning Jiewen Deng Renhe Jiang Jiaqi Zhang Xuan Song AI4TS 30 3 0 06 May 2024
Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting Yanjun Zhao Tian Zhou Chao Chen Liang Sun Yi Qian Rong Jin AI4TS 32 2 0 08 Feb 2024
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators Lifan Zhao Yanyan Shen AI4TS AIFin 35 12 0 31 Jan 2024
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting Jinliang Deng Feiyang Ye Du Yin Xuan Song Ivor W. Tsang Hui Xiong AI4TS 43 2 0 22 Jan 2024
Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer Li Shen Yuning Wei Yangzhu Wang Huaxin Qiu AI4TS 13 4 0 10 Dec 2023
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective Kun Yi Qi Zhang Wei Fan Hui He Liang Hu Pengyang Wang Ning An Longbin Cao ZhenDong Niu AI4TS 34 106 0 10 Nov 2023
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting Kun Yi Qi Zhang Wei Fan Shoujin Wang Pengyang Wang Hui He Defu Lian Ning An Longbin Cao ZhenDong Niu AI4TS 61 123 0 10 Nov 2023
Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift Mouxiang Chen Lefei Shen Han Fu Zhuo Li Jianling Sun Chenghao Liu AI4TS 19 3 0 23 Oct 2023
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting Defu Cao Furong Jia Sercan Ö. Arik Tomas Pfister Yixiang Zheng Wen Ye Yan Liu AI4TS 26 123 0 08 Oct 2023
MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation Z. Cai Renhe Jiang Xinyu Yang Zhaonan Wang Diansheng Guo Hiroki Kobayashi Xuan Song Ryosuke Shibasaki AI4TS 20 12 0 25 Sep 2023
Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping Zhe Li Shiyi Qi Yiduo Li Zenglin Xu AI4TS 23 103 0 18 May 2023
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders Defu Cao James Enouen Yujing Wang Xiangchen Song Chuizheng Meng Hao Niu Yan Liu CML 35 21 0 04 Mar 2023
Interpretable Water Level Forecaster with Spatiotemporal Causal Attention Mechanisms Sunghcul Hong Yunjin Choi Jongkoo Jeon AI4TS 20 0 0 28 Feb 2023
Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting Hui He Qi Zhang Kun Yi Kaize Shi ZhenDong Niu Longbin Cao TTA AI4TS 19 4 0 01 Sep 2022
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks Jindong Han Hao Liu Hengshu Zhu Hui Xiong Dejing Dou 80 74 0 30 Dec 2020
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 169 3,885 0 14 Dec 2020