HADL Framework for Noise Resilient Long-Term Time Series Forecasting

HADL Framework for Noise Resilient Long-Term Time Series Forecasting

14 February 2025

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Papers citing "HADL Framework for Noise Resilient Long-Term Time Series Forecasting"

19 / 19 papers shown

Title
Channel-Aware Low-Rank Adaptation in Time Series Forecasting Tong Nie Yuewen Mei Guoyang Qin Jiangming Sun Wei Ma BDL AI4TS 62 9 0 24 Jul 2024
xLSTMTime : Long-term Time Series Forecasting With xLSTM Musleh Alharthi A. Mahmood AI4TS 92 19 0 14 Jul 2024
Fredformer: Frequency Debiased Transformer for Time Series Forecasting Xihao Piao Zheng Chen Taichi Murayama Yasuko Matsubara Yasushi Sakurai AI4TS 83 25 0 13 Jun 2024
SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters Shengsheng Lin Weiwei Lin Wentai Wu Haojun Chen Junjie Yang 90 51 0 02 May 2024
A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market Cameron Cornell Nam Trong Dinh S. A. Pourmousavi 44 17 0 13 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 112 155 0 10 Nov 2023
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting Yong Liu Tengge Hu Haoran Zhang Haixu Wu Shiyu Wang Lintao Ma Mingsheng Long AI4TS 130 548 0 10 Oct 2023
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting Shengsheng Lin Weiwei Lin Wentai Wu Feiyu Zhao Ruichao Mo Haotong Zhang AI4TS 68 59 0 22 Aug 2023
FITS: Modeling Time Series with $10k$ Parameters Zhijian Xu Ailing Zeng Qiang Xu AI4TS 82 103 0 06 Jul 2023
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting Vijayabharathi Ekambaram Arindam Jati Nam H. Nguyen Phanwadee Sinthong Jayant Kalagnanam AI4TS 131 161 0 14 Jun 2023
AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning Qingru Zhang Minshuo Chen Alexander Bukharin Nikos Karampatziakis Pengcheng He Yu Cheng Weizhu Chen Tuo Zhao 64 125 0 18 Mar 2023
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting Zhichen Lai Dalin Zhang Huan Li Christian S. Jensen Hua Lu Yan Zhao AI4TS 63 31 0 23 Feb 2023
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers Yuqi Nie Nam H. Nguyen Phanwadee Sinthong Jayant Kalagnanam AIFin AI4TS 105 1,423 0 27 Nov 2022
DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation Mojtaba Valipour Mehdi Rezagholizadeh I. Kobyzev A. Ghodsi 111 184 0 14 Oct 2022
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations Steffen Schotthöfer Emanuele Zangrando J. Kusch Gianluca Ceruti Francesco Tudisco 115 38 0 26 May 2022
Are Transformers Effective for Time Series Forecasting? Ailing Zeng Mu-Hwa Chen L. Zhang Qiang Xu AI4TS 156 1,798 0 26 May 2022
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 502 10,526 0 17 Jun 2021
SNIP: Single-shot Network Pruning based on Connection Sensitivity Namhoon Lee Thalaiyasingam Ajanthan Philip Torr VLM 274 1,212 0 04 Oct 2018
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks Guokun Lai Wei-Cheng Chang Yiming Yang Hanxiao Liu BDL AI4TS 115 2,027 0 21 Mar 2017