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IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting
v1v2 (latest)

IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting

30 January 2024
Wei Fan
Shun Zheng
Pengyang Wang
Rui Xie
Kun Yi
Yanjie Fu
Jiang Bian
Yanjie Fu
    AI4TSOOD
ArXiv (abs)PDFHTML

Papers citing "IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting"

4 / 4 papers shown
Title
Distribution Shift Aware Neural Tabular Learning
Distribution Shift Aware Neural Tabular Learning
Wangyang Ying
Nanxu Gong
Dongjie Wang
Xinyuan Wang
Arun Vignesh Malarkkan
Vivek Gupta
Chandan K. Reddy
Yanjie Fu
OOD
214
3
0
27 Aug 2025
EventTSF: Event-Aware Non-Stationary Time Series Forecasting
EventTSF: Event-Aware Non-Stationary Time Series Forecasting
Yunfeng Ge
Ming Jin
Yiji Zhao
Changwei Cai
Bo Du
Chang Xu
Shirui Pan
AI4TSDiffM
93
0
0
19 Aug 2025
Bridging Distribution Gaps in Time Series Foundation Model Pretraining with Prototype-Guided Normalization
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
AI4TSAI4CE
324
0
0
15 Apr 2025
Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift
Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift
Yanru Sun
Zongxia Xie
Emadeldeen Eldele
Dongyue Chen
Q. Hu
Ruibing Jin
AI4TS
316
9
0
13 Oct 2024
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