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Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting

International Journal of Forecasting (IJF), 2019

19 December 2019

Tomas Pfister

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

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Title
Adaptive Process-Guided Learning: An Application in Predicting Lake DO ConcentrationsIndustrial Conference on Data Mining (IDM), 2024 Runlong Yu Chonghao Qiu R. Ladwig Paul C. Hanson Yiqun Xie Yanhua Li Xiaowei Jia 210 8 0 20 Nov 2024
FlowScope: Enhancing Decision Making by Time Series Forecasting based on Prediction Optimization using HybridFlow Forecast Framework Nitin Sagar Boyeena Begari Susheel Kumar AI4TS 94 2 0 16 Nov 2024
BreakGPT: Leveraging Large Language Models for Predicting Asset Price Surges Aleksandr Simonyan AI4TS AIFin 78 0 0 09 Nov 2024
Training and Evaluating Causal Forecasting Models for Time-Series Thomas Crasson Yacine Nabet Mathias Lécuyer CML AI4TS 313 1 0 31 Oct 2024
Prospective Learning: Learning for a Dynamic FutureNeural Information Processing Systems (NeurIPS), 2024 Ashwin De Silva Rahul Ramesh Rubing Yang Siyu Yu Joshua T. Vogelstein Pratik Chaudhari AI4TS 455 4 0 31 Oct 2024
Higher-order Cross-structural Embedding Model for Time Series Analysis Guancen Lin Cong Shen Aijing Lin AI4TS 140 1 0 30 Oct 2024
A Temporal Linear Network for Time Series Forecasting Remi Genet Hugo Inzirillo AI4TS 186 4 0 28 Oct 2024
Citywide Electric Vehicle Charging Demand Prediction Approach Considering Urban Region and Dynamic Influences Haoxuan Kuang Kunxiang Deng Linlin You Jun Li 192 0 0 24 Oct 2024
TripCast: Pre-training of Masked 2D Transformers for Trip Time Series Forecasting Yuhua Liao Zetian Wang Peng Wei Qiangqiang Nie Zhenhua Zhang AI4TS 110 0 0 24 Oct 2024
Just In Time TransformersIEEE Access (IEEE Access), 2024 Ahmed Ala Eddine Benali M. Cafaro I. Epicoco Marco Pulimeno Enrico Junior Schioppa AI4TS 227 2 0 22 Oct 2024
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories Maurice Kraus Felix Divo Devendra Singh Dhami Kristian Kersting AI4TS 185 13 0 22 Oct 2024
Forecasting Company Fundamentals Felix Divo Eric Endress Kevin Endler Kristian Kersting Devendra Singh Dhami AI4TS 198 4 0 21 Oct 2024
Implementation and Assessment of Machine Learning Models for Forecasting Suspected Opioid Overdoses in Emergency Medical Services Data Aaron D. Mullen Daniel Harris Peter Rock Katherine Thompson Svetla Slavova Jeffery Talbert V. Bumgardner 102 0 0 21 Oct 2024
ANT: Adaptive Noise Schedule for Time Series Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2024 Seunghan Lee Kibok Lee Taeyoung Park AI4TS DiffM 188 9 0 18 Oct 2024
Transfer Learning on Transformers for Building Energy Consumption Forecasting -- A Comparative StudyEnergy and Buildings (Energy Build.), 2024 Robert Spencer Surangika Ranathunga Mikael Boulic Andries van Heerden AI4TS 820 13 0 18 Oct 2024
ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series PredictionIndustrial Conference on Data Mining (IDM), 2024 Kshitij Tayal Arvind Renganathan Xiaowei Jia Vipin Kumar Dan Lu AI4TS 171 1 0 16 Oct 2024
Time Series Viewmakers for Robust Disruption Prediction Dhruva Chayapathy Tavis Siebert Lucas Spangher Akshata Kishore Moharir Om Manoj Patil Cristina Rea 137 0 0 14 Oct 2024
SwiftQueue: Optimizing Low-Latency Applications with Swift Packet Queuing Siddhant Ray Xi Jiang Jack Luo Nick Feamster Junchen Jiang 127 2 0 08 Oct 2024
GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction BenchmarksInternational Conference on Learning Representations (ICLR), 2024 Renat Sergazinov Elizabeth Chun Valeriya Rogovchenko Nathaniel Fernandes Nicholas Kasman I. Gaynanova AI4TS 207 8 0 08 Oct 2024
Timer-XL: Long-Context Transformers for Unified Time Series ForecastingInternational Conference on Learning Representations (ICLR), 2024 Yong Liu Guo Qin Xiangdong Huang Jianmin Wang Mingsheng Long AI4TS 244 37 0 07 Oct 2024
Metadata Matters for Time Series: Informative Forecasting with Transformers Jiaxiang Dong Haixu Wu Yuxuan Wang Li Zhang Jianmin Wang Mingsheng Long AI4TS 108 3 0 04 Oct 2024
Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting Ignacio Aguilera-Martos Andrés Herrera-Poyatos Julián Luengo Francisco Herrera AI4TS 228 3 0 04 Oct 2024
Flow Matching with Gaussian Process Priors for Probabilistic Time Series ForecastingInternational Conference on Learning Representations (ICLR), 2024 Marcel Kollovieh Marten Lienen David Lüdke Leo Schwinn Stephan Günnemann AI4TS BDL DiffM 346 15 0 03 Oct 2024
LS-HAR: Language Supervised Human Action Recognition with Salient Fusion, Construction Sites as a Use-Case Mohammad Mahdavian Mohammad Loni Mo Chen Mo Chen 229 0 0 02 Oct 2024
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic PatternsNeural Information Processing Systems (NeurIPS), 2024 Shengsheng Lin Weiwei Lin Xinyi Hu Wentai Wu Ruichao Mo Haocheng Zhong AI4TS 235 85 0 27 Sep 2024
The Digital Transformation in Health: How AI Can Improve the Performance of Health SystemsHealth systems and reform (HSR), 2024 África Periánez Ana Fernández del Río Ivan Nazarov Enric Jané Moiz Hassan Aditya Rastogi Dexian Tang 213 18 0 24 Sep 2024
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of ExpertsInternational Conference on Learning Representations (ICLR), 2024 Xiaoming Shi Shiyu Wang Yuqi Nie Dianqi Li Zhou Ye Qingsong Wen Ming Jin AI4TS 543 153 0 24 Sep 2024
TFT-multi: simultaneous forecasting of vital sign trajectories in the ICUScientific Reports (Sci Rep), 2024 Rosemary Y. He Jeffrey N. Chiang 196 4 0 23 Sep 2024
A Gated Residual Kolmogorov-Arnold Networks for Mixtures of Experts Hugo Inzirillo Remi Genet MoE 276 7 0 23 Sep 2024
Implicit Reasoning in Deep Time Series Forecasting Willa Potosnak Cristian Challu Mononito Goswami Michał Wiliński Nina Żukowska Artur Dubrawski ReLM AI4TS LRM 248 6 0 17 Sep 2024
Interpretable mixture of experts for time series prediction under recurrent and non-recurrent conditions Zemian Ke Haocheng Duan Sean Qian AI4TS MoE 117 8 0 05 Sep 2024
Distributed Lag Transformer based on Time-Variable-Aware Learning for Explainable Multivariate Time Series Forecasting Younghwi Kim Dohee Kim Joongrock Kim Sunghyun Sim AI4TS 124 0 0 29 Aug 2024
Evaluating Credit VIX (CDS IV) Prediction Methods with Incremental Batch Learning Robert Taylor 90 0 0 27 Aug 2024
Robust Predictions with Ambiguous Time Delays: A Bootstrap StrategyKnowledge Discovery and Data Mining (KDD), 2024 Jiajie Wang Zhiyuan Jerry Lin Wen Chen AI4TS 98 0 0 23 Aug 2024
An Evaluation of Deep Learning Models for Stock Market Trend Prediction Gonzalo Lopez Gil Paul Duhamel-Sebline Andrew McCarren AIFin 73 5 0 22 Aug 2024
Time Series Foundation Models and Deep Learning Architectures for Earthquake Temporal and Spatial Nowcasting Alireza Jafari Geoffrey Fox John B. Rundle A. Donnellan L. G. Ludwig AI4TS AI4CE 133 6 0 21 Aug 2024
Data-driven Modeling of Combined Sewer Systems for Urban Sustainability: An Empirical Evaluation Vipin Singh Tianheng Ling Teodor Chiaburu Felix Biessmann AI4CE 226 2 0 21 Aug 2024
sTransformer: A Modular Approach for Extracting Inter-Sequential and Temporal Information for Time-Series Forecasting Jiaheng Yin Zhengxin Shi Jianshen Zhang Xiaomin Lin Yulin Huang Yongzhi Qi Wei Qi AI4TS 93 0 0 19 Aug 2024
Partial-Multivariate Model for Forecasting Jaehoon Lee Hankook Lee Sungik Choi Sungjun Cho Moontae Lee AI4TS 154 2 0 19 Aug 2024
Unlocking the Power of LSTM for Long Term Time Series ForecastingAAAI Conference on Artificial Intelligence (AAAI), 2024 Yaxuan Kong Zepu Wang Yuqi Nie Tian Zhou Stefan Zohren Yuxuan Liang Peng Sun Qingsong Wen AI4TS 186 45 0 19 Aug 2024
A Benchmark Time Series Dataset for Semiconductor Fabrication Manufacturing Constructed using Component-based Discrete-Event Simulation Models Vamsi Krishna Pendyala H. Sarjoughian Bala Potineni E. Yellig 142 0 0 17 Aug 2024
Adaptive User Journeys in Pharma E-Commerce with Reinforcement Learning: Insights from SwipeRx Ana Fernández del Río Michael Brennan Leong Paulo Saraiva Ivan Nazarov Aditya Rastogi Moiz Hassan Dexian Tang África Periánez OffRL OnRL 183 2 0 15 Aug 2024
A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health MonitoringJournal of Computing and Information Science in Engineering (JCISE), 2024 V. Karkaria Jie Chen Christopher Luey Chase Siuta Damien Lim Robert Radulescu Wei Chen 123 7 0 12 Aug 2024
An Evaluation of Standard Statistical Models and LLMs on Time Series Forecasting Rui Cao Qiao Wang 185 8 0 09 Aug 2024
RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting AlgorithmsKnowledge Discovery and Data Mining (KDD), 2024 Luis Roque Carlos Soares Luís Torgo AI4TS 186 1 0 06 Aug 2024
A Backbone for Long-Horizon Robot Task UnderstandingIEEE Robotics and Automation Letters (RA-L), 2024 Xiaoshuai Chen Wei Chen Dongmyoung Lee Yukun Ge Nicolás Rojas Petar Kormushev 335 6 0 02 Aug 2024
Survey and Taxonomy: The Role of Data-Centric AI in Transformer-Based Time Series Forecasting Jingjing Xu Caesar Wu Yuan-Fang Li Grégoire Danoy Pascal Bouvry AI4TS 238 2 0 29 Jul 2024
Static and multivariate-temporal attentive fusion transformer for readmission risk prediction Zhe Sun Runzhi Li Jing Wang Gang Chen Siyu Yan Lihong Ma 100 0 0 15 Jul 2024
Multiple-Resolution Tokenization for Time Series Forecasting with an Application to Pricing Egon Persak Miguel F. Anjos Sebastian Lautz Aleksandar Kolev AI4TS 210 0 0 03 Jul 2024
MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health Records Zekai Wang Tieming Liu B. Yao 465 2 0 30 Jun 2024