AdaRNN: Adaptive Learning and Forecasting of Time Series

10 August 2021

Papers citing "AdaRNN: Adaptive Learning and Forecasting of Time Series"

50 / 83 papers shown

Title
Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism Yuqi Xiong Yang Wen AI4TS 26 0 0 11 May 2025
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Yiming Niu Jinliang Deng L. Zhang Zimu Zhou Yongxin Tong AI4TS 26 0 0 09 May 2025
Domain-Adversarial Anatomical Graph Networks for Cross-User Human Activity Recognition Xiaozhou Ye Kevin I-Kai Wang 26 0 0 08 May 2025
Non-stationary Diffusion For Probabilistic Time Series Forecasting Weiwei Ye Zhuopeng Xu Ning Gui DiffM 56 0 0 07 May 2025
Soft causal learning for generalized molecule property prediction: An environment perspective Limin Li Kuo Yang Wenjie Du Pengkun Wang Zhengyang Zhou Yang Wang OOD AI4CE 56 0 0 07 May 2025
QuantBench: Benchmarking AI Methods for Quantitative Investment Saizhuo Wang Hao Kong Jiadong Guo Fengrui Hua Yiyan Qi Wanyun Zhou Jiahao Zheng Xinyu Wang Lionel M. Ni Jian Guo 150 1 0 24 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
STaRFormer: Semi-Supervised Task-Informed Representation Learning via Dynamic Attention-Based Regional Masking for Sequential Data Maxmilian Forstenhäusler Daniel Külzer Christos Anagnostopoulos S. P. Parambath Natascha Weber AI4TS MedIm 35 0 0 14 Apr 2025
Adaptive Classification of Interval-Valued Time Series Wan Tian Zhongfeng Qin AI4TS 39 1 0 04 Apr 2025
Causal invariant geographic network representations with feature and structural distribution shifts Yuhan Wang Silu He Qinyao Luo Hongyuan Yuan Ling Zhao Jiawei Zhu Haifeng Li OOD 64 0 0 25 Mar 2025
Gradient-Guided Annealing for Domain Generalization Aristotelis Ballas Christos Diou OOD 174 0 0 27 Feb 2025
Generalizable Sensor-Based Activity Recognition via Categorical Concept Invariant Learning Di Xiong Shuoyuan Wang Lei Zhang Wenbo Huang Chaolei Han 68 0 0 18 Dec 2024
Learning Latent Spaces for Domain Generalization in Time Series Forecasting Songgaojun Deng Maarten de Rijke CML AI4TS OOD BDL 68 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 167 1 0 07 Dec 2024
Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static Relations Yunhua Pei Jin Zheng John Cartlidge AIFin 62 1 0 05 Dec 2024
SSMT: Few-Shot Traffic Forecasting with Single Source Meta-Transfer K. Bhaumik Minha Kim Fahim Faisal Niloy A. Ali Simon S. Woo AI4TS 11 0 0 21 Oct 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
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization Chengtao Jian Kai Yang Yang Jiao AI4TS 29 3 0 09 Oct 2024
Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario Hongjun Wang Jiyuan Chen Tong Pan Zheng Dong Lingyu Zhang Renhe Jiang Xuan Song OOD 76 2 0 07 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
Robust Traffic Forecasting against Spatial Shift over Years Hongjun Wang Jiyuan Chen Tong Pan Zheng Dong Lingyu Zhang Renhe Jiang Xuan Song AI4TS OOD 28 0 0 01 Oct 2024
Frequency Adaptive Normalization For Non-stationary Time Series Forecasting Weiwei Ye Songgaojun Deng Qiaosha Zou Ning Gui AI4TS 31 5 0 30 Sep 2024
Inductive Spatial Temporal Prediction Under Data Drift with Informative Graph Neural Network Jialun Zheng Divya Saxena Jiannong Cao Hanchen Yang Penghui Ruan AI4TS 19 0 0 20 Sep 2024
Partial-Multivariate Model for Forecasting Jaehoon Lee Hankook Lee Sungik Choi Sungjun Cho Moontae Lee AI4TS 44 0 0 19 Aug 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 60 0 0 18 Jul 2024
Disentangling Masked Autoencoders for Unsupervised Domain Generalization An Zhang Han Wang Xiang Wang Tat-Seng Chua 49 0 0 10 Jul 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
Continuous Temporal Domain Generalization Z. Cai Guangji Bai Renhe Jiang Xuan Song Liang Zhao 40 2 0 25 May 2024
Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting Aobo Liang Xingguo Jiang Y. Sun Xiaohou Shi Ke Li AI4TS Mamba 26 5 0 24 Apr 2024
Domain Generalization through Meta-Learning: A Survey Arsham Gholamzadeh Khoee Yinan Yu R. Feldt AI4CE OOD 40 15 0 03 Apr 2024
Foundation Models for Time Series Analysis: A Tutorial and Survey Yuxuan Liang Haomin Wen Yuqi Nie Yushan Jiang Ming Jin Dongjin Song Shirui Pan Qingsong Wen AI4TS AI4CE 89 115 0 21 Mar 2024
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts Zeyang Zhang Xin Eric Wang Ziwei Zhang Zhou Qin Weigao Wen Hui Xue Haoyang Li Wenwu Zhu OOD 37 17 0 08 Mar 2024
ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution Zhen-Qiang Zhou Qihe Huang Binwu Wang Jianpeng Hou Kuo Yang Yuxuan Liang Yang Wang AI4TS 30 2 0 04 Mar 2024
Structural Knowledge Informed Continual Multivariate Time Series Forecasting Zijie Pan Yushan Jiang Dongjin Song Sahil Garg Kashif Rasul Anderson Schneider Yuriy Nevmyvaka CLL AI4TS 37 3 0 20 Feb 2024
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation Yuan Yuan Chenyang Shao Jingtao Ding Depeng Jin Yong Li AI4TS AI4CE 48 18 0 19 Feb 2024
RAGIC: Risk-Aware Generative Adversarial Model for Stock Interval Construction Jingyi Gu Wenlu Du Guiling Wang 19 0 0 16 Feb 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
Phase-driven Domain Generalizable Learning for Nonstationary Time Series Payal Mohapatra Lixu Wang Qi Zhu AI4TS 27 2 0 05 Feb 2024
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting Zhanyu Liu Guanjie Zheng Yanwei Yu AI4TS 23 5 0 01 Feb 2024
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting Shubao Zhao Ming Jin Zhaoxiang Hou Che-Sheng Yang Zengxiang Li Qingsong Wen Yi Wang 22 2 0 10 Jan 2024
Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting Pengxin Guo Pengrong Jin Ziyue Li Lei Bai Yu Zhang AI4TS 32 3 0 08 Jan 2024
Domain adaption and physical constrains transfer learning for shale gas production Zhao-zhong Yang Liangjie Gou Chao Min Duo Yi Xiaogang Li Guo-quan Wen AI4CE 36 0 0 18 Dec 2023
Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction Zeyang Zhang Xingwang Li Fei Teng Ning Lin Xueling Zhu Xin Eric Wang Wenwu Zhu OOD 37 11 0 27 Nov 2023
STDA-Meta: A Meta-Learning Framework for Few-Shot Traffic Prediction Maoxiang Sun Weilong Ding Tianpu Zhang Zijian Liu Mengda Xing AI4TS 19 2 0 31 Oct 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 17 3 0 23 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
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment Yutong Xia Y. Liang Haomin Wen Xu Liu Kun Wang Zhengyang Zhou Roger Zimmermann AI4TS 40 38 0 23 Sep 2023
T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data Weijieying Ren Tianxiang Zhao Wei Qin Kunpeng Liu TTA AI4TS 19 5 0 05 Sep 2023
A Co-training Approach for Noisy Time Series Learning Weiqi Zhang Jianfeng Zhang Jia Li Fugee Tsung AI4TS 33 12 0 24 Aug 2023
Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank Zhanyu Liu Guanjie Zheng Yanwei Yu AI4TS 16 30 0 17 Aug 2023