N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting

30 January 2022

Cristian Challu

Kin G. Olivares

Boris N. Oreshkin

Federico Garza

Max Mergenthaler-Canseco

A. Dubrawski

AI4TS

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Papers citing "N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting"

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Title
Do global forecasting models require frequent retraining? Marco Zanotti 39 0 0 01 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
Analyzing Spatio-Temporal Dynamics of Dissolved Oxygen for the River Thames using Superstatistical Methods and Machine Learning Hankun He Takuya Boehringer Benjamin Schäfer Kate Heppell Christian Beck 54 3 0 10 Jan 2025
Specialized Foundation Models Struggle to Beat Supervised Baselines Zongzhe Xu Ritvik Gupta Wenduo Cheng Alexander Shen Junhong Shen Ameet Talwalkar M. Khodak AI4CE 51 6 0 05 Nov 2024
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis Shiyu Wang Jiawei Li Xiaoming Shi Zhou Ye Baichuan Mo Wenze Lin Shengtong Ju Zhixuan Chu Ming Jin AI4TS 40 11 0 21 Oct 2024
Active Learning of Robot Vision Using Adaptive Path Planning Julius Ruckin Federico Magistri Cyrill Stachniss Marija Popović SSL 26 0 0 14 Oct 2024
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data Manuel Brenner Elias Weber G. Koppe Daniel Durstewitz AI4TS AI4CE 39 3 0 07 Oct 2024
Data-driven Modeling of Combined Sewer Systems for Urban Sustainability: An Empirical Evaluation Vipin Singh Tianheng Ling Teodor Chiaburu Felix Biessmann AI4CE 44 1 0 21 Aug 2024
WEITS: A Wavelet-enhanced residual framework for interpretable time series forecasting Ziyou Guo Yan Sun Tieru Wu AI4TS 38 2 0 17 May 2024
Data Augmentation Policy Search for Long-Term Forecasting Liran Nochumsohn Omri Azencot AI4TS TPM 46 3 0 01 May 2024
Using ARIMA to Predict the Expansion of Subscriber Data Consumption Mike Nkongolo 43 16 0 23 Apr 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 70 17 0 12 Mar 2024
Edge-based Parametric Digital Twins for Intelligent Building Indoor Climate Modeling Zhongjun Ni Chi Zhang M. Karlsson Shaofang Gong AI4CE 28 0 0 07 Mar 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 62 14 0 04 Feb 2024
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks Haowen Hou F. Richard Yu AI4TS 35 20 0 17 Jan 2024
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting Shane Bergsma Timothy J. Zeyl J. R. Anaraki Lei Guo BDL AI4TS 26 9 0 22 Dec 2023
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis Zelin Ni Hang Yu Shizhan Liu Jianguo Li Weiyao Lin AI4TS 28 30 0 31 Oct 2023
Sparse Deep Learning for Time Series Data: Theory and Applications Mingxuan Zhang Y. Sun Faming Liang AI4TS OOD BDL 39 2 0 05 Oct 2023
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Ming Jin Shiyu Wang Lintao Ma Zhixuan Chu James Y. Zhang ... Pin-Yu Chen Keli Zhang Yuan-Fang Li Shirui Pan Qingsong Wen AI4TS 44 354 0 03 Oct 2023
DeepTSF: Codeless machine learning operations for time series forecasting Sotiris Pelekis Evangelos Karakolis Theodosios Pountridis Georgios Kormpakis G. Lampropoulos S. Mouzakitis D. Askounis AI4TS AI4CE 19 11 0 28 Jul 2023
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting Li Shen Yuning Wei Yangzhu Wang Huaxin Qiu OOD AI4TS 13 7 0 19 Jun 2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors Yong Liu Chenyu Li Jianmin Wang Mingsheng Long AI4TS 32 102 0 30 May 2023
Feature-aligned N-BEATS with Sinkhorn divergence Joon-Young Lee Myeongho Jeon Myung-joo Kang Kyung-soon Park AI4TS 30 0 0 24 May 2023
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing Zhe Li Zhongwen Rao Lujia Pan Zenglin Xu AI4TS 33 61 0 09 Feb 2023
ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information Benedikt Heidrich Kaleb Phipps Oliver Neumann Marian Turowski Ralf Mikut V. Hagenmeyer AI4TS BDL 23 2 0 06 Feb 2023
Creating Probabilistic Forecasts from Arbitrary Deterministic Forecasts using Conditional Invertible Neural Networks Kaleb Phipps Benedikt Heidrich Marian Turowski Moritz Wittig Ralf Mikut V. Hagenmeyer UQCV 21 1 0 03 Feb 2023
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting Jianqing Zhu Juncai He Lian Zhang Jinchao Xu 26 3 0 02 Feb 2023
Multi-view Kernel PCA for Time series Forecasting Arun Pandey Hannes De Meulemeester B. De Moor Johan A. K. Suykens AI4TS 36 5 0 24 Jan 2023
First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting Xiyuan Zhang Xiaoyong Jin Karthick Gopalswamy Gaurav Gupta Youngsuk Park Xingjian Shi Hongya Wang Danielle C. Maddix Yuyang Wang AI4TS 27 19 0 15 Dec 2022
FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting Maowei Jiang Pengyu Zeng Kai-Ming Wang Huan Liu Wenbo Chen Haoran Liu AI4TS 35 50 0 02 Dec 2022
SpectraNet: Multivariate Forecasting and Imputation under Distribution Shifts and Missing Data Cristian Challu Peihong Jiang Y. Wu Laurent Callot AI4TS 19 1 0 22 Oct 2022
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis Haixu Wu Teng Hu Yong Liu Hang Zhou Jianmin Wang Mingsheng Long AI4TS AIFin 60 708 0 05 Oct 2022
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting Amin Shabani A. Abdi Li Meng Tristan Sylvain AI4TS 27 61 0 08 Jun 2022
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices Hansika Hewamalage Klaus Ackermann Christoph Bergmeir AI4TS 67 87 0 21 Mar 2022
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 3,900 0 14 Dec 2020