N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting

N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting

30 January 2022

Cristian Challu

Kin G. Olivares

Boris N. Oreshkin

Max Mergenthaler-Canseco

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

19 / 19 papers shown

Title
Do global forecasting models require frequent retraining? Marco Zanotti 30 0 0 01 May 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 46 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 38 4 0 05 Nov 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 22 2 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 21 1 0 21 Aug 2024
Data Augmentation Policy Search for Long-Term Forecasting Liran Nochumsohn Omri Azencot AI4TS TPM 37 2 0 01 May 2024
Using ARIMA to Predict the Expansion of Subscriber Data Consumption Mike Nkongolo 16 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 59 16 0 12 Mar 2024
Edge-based Parametric Digital Twins for Intelligent Building Indoor Climate Modeling Zhongjun Ni Chi Zhang M. Karlsson Shaofang Gong AI4CE 19 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 54 12 0 04 Feb 2024
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks Haowen Hou F. Richard Yu AI4TS 28 19 0 17 Jan 2024
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 8 9 0 28 Jul 2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors Yong Liu Chenyu Li Jianmin Wang Mingsheng Long AI4TS 12 101 0 30 May 2023
ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information Benedikt Heidrich Kaleb Phipps Oliver Neumann Marian Turowski Ralf Mikut V. Hagenmeyer AI4TS BDL 6 2 0 06 Feb 2023
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting Jianqing Zhu Juncai He Lian Zhang Jinchao Xu 13 3 0 02 Feb 2023
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis Haixu Wu Teng Hu Yong Liu Hang Zhou Jianmin Wang Mingsheng Long AI4TS AIFin 43 687 0 05 Oct 2022
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices Hansika Hewamalage Klaus Ackermann Christoph Bergmeir AI4TS 62 86 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 164 3,799 0 14 Dec 2020