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Temporal Fusion Transformers for Interpretable Multi-horizon Time Series
  Forecasting
v1v2v3 (latest)

Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting

International Journal of Forecasting (IJF), 2019
19 December 2019
Bryan Lim
Sercan O. Arik
Nicolas Loeff
Tomas Pfister
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting"

50 / 499 papers shown
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Conv-like Scale-Fusion Time Series Transformer: A Multi-Scale Representation for Variable-Length Long Time Series
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Xuejun Jiang
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22 Sep 2025
Ultra-short-term solar power forecasting by deep learning and data reconstruction
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Jinbao Wang
Jun Liu
Shiliang Zhang
Xuehui Ma
52
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21 Sep 2025
TSGym: Design Choices for Deep Multivariate Time-Series Forecasting
TSGym: Design Choices for Deep Multivariate Time-Series Forecasting
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Chaochuan Hou
Xu Yao
Shiping Wang
Minqi Jiang
Songqiao Han
Hailiang Huang
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21 Sep 2025
LEMs: A Primer On Large Execution Models
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Remi Genet
Hugo Inzirillo
68
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21 Sep 2025
Quantum Adaptive Self-Attention for Financial Rebalancing: An Empirical Study on Automated Market Makers in Decentralized Finance
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65
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Super-Linear: A Lightweight Pretrained Mixture of Linear Experts for Time Series Forecasting
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Hedi Zisling
Omri Azencot
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76
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18 Sep 2025
Adaptive Temporal Fusion Transformers for Cryptocurrency Price Prediction
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time2time: Causal Intervention in Hidden States to Simulate Rare Events in Time Series Foundation Models
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Saurabh Deshpande
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Scaling Law for Large-Scale Pre-Training Using Chaotic Time Series and Predictability in Financial Time Series
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Conformal Prediction for Time-series Forecasting with Change Points
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298
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02 Sep 2025
Forecasting the Ionosphere from Sparse GNSS Data with Temporal-Fusion Transformers
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Giacomo Acciarini
Simone Mestici
Halil Kelebek
Linnea Wolniewicz
Michael Vergalla
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156
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