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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
Exploring Different Time-series-Transformer (TST) Architectures: A Case Study in Battery Life Prediction for Electric Vehicles (EVs) Niranjan Sitapure Atharva Kulkarni AI4TS 66 6 0 07 Aug 2023
Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living SettingKnowledge Discovery and Data Mining (KDD), 2023 Ferdian Jovan Catherine Morgan Ryan McConville E. Tonkin I. Craddock Alan Whone 86 5 0 03 Aug 2023
Novel Physics-Based Machine-Learning Models for Indoor Air Quality Approximations Ahmad Mohammadshirazi Aida Nadafian Amin Karimi Monsefi M. Rafiei R. Ramnath AI4CE 134 7 0 02 Aug 2023
A Transformer-based Prediction Method for Depth of Anesthesia During Target-controlled Infusion of Propofol and RemifentanilIEEE transactions on neural systems and rehabilitation engineering (IEEE TNSRE), 2023 Yongkang He Siyuan Peng Mingjin Chen Zhi-Yi Yang Yuan-Wei Chen 97 9 0 02 Aug 2023
DeepTSF: Codeless machine learning operations for time series forecastingSoftwareX (SoftwareX), 2023 Sotiris Pelekis Evangelos Karakolis Theodosios Pountridis Georgios Kormpakis G. Lampropoulos S. Mouzakitis D. Askounis AI4TS AI4CE 145 13 0 28 Jul 2023
Improving Social Media Popularity Prediction with Multiple Post Dependencies Zhizhen Zhang Xiao-Zhu Xie Meng Yang Ye Tian Yong Jiang Yong Cui 102 6 0 28 Jul 2023
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series ForecastingNeural Information Processing Systems (NeurIPS), 2023 Marcel Kollovieh Abdul Fatir Ansari Michael Bohlke-Schneider Jasper Zschiegner Hao Wang Yuyang Wang DiffM AI4TS 284 84 0 21 Jul 2023
Knowledge-infused Deep Learning Enables Interpretable Landslide Forecasting Zhengjing Ma Gang Mei AI4CE 58 2 0 18 Jul 2023
Sequential Monte Carlo Learning for Time Series Structure DiscoveryInternational Conference on Machine Learning (ICML), 2023 Feras A. Saad Brian Patton Matt Hoffman Rif A. Saurous Vikash K. Mansinghka AI4TS 136 12 0 13 Jul 2023
GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series Forecasting Sitan Yang Malcolm Wolff S. Ramasubramanian Vincent Quenneville-Belair Ronak Metha Michael W. Mahoney AI4TS AI4CE 122 1 0 07 Jul 2023
Multimodal Temporal Fusion Transformers Are Good Product Demand Forecasters M. Sukel Stevan Rudinac Marcel Worring AI4TS 115 2 0 05 Jul 2023
LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark StudyArtificial Intelligence Review (AIR), 2023 Matteo Prata Giuseppe Masi Leonardo Berti Viviana Arrigoni Andrea Coletta Irene Cannistraci Svitlana Vyetrenko Paola Velardi N. Bartolini 182 21 0 05 Jul 2023
Population Age Group Sensitivity for COVID-19 Infections with Deep Learning Md. Khairul Islam Tyler W. Valentine Roy X Wang Levi Davis Matt Manner Judy Fox 89 2 0 03 Jul 2023
Improving the Transferability of Time Series Forecasting with Decomposition Adaptation Yan-hong Gao Yan Wang Qiang Wang AI4TS 150 1 0 30 Jun 2023
A Machine Learning Pressure Emulator for Hydrogen Embrittlement Minh Triet Chau J. L. S. Almeida Elie Alhajjar A. C. N. Junior AI4CE 73 0 0 22 Jun 2023
Comparing Deep Learning Models for the Task of Volatility Prediction Using Multivariate Data Wenbo Ge Pooia Lalbakhsh Leigh Isai Artem Lenskiy Hanna Suominen OOD 120 5 0 20 Jun 2023
Deep Learning for Energy Time-Series Analysis and Forecasting Maria Tzelepi C. Symeonidis Paraskevi Nousi Efstratios Kakaletsis Theodoros Manousis Pavlos Tosidis N. Nikolaidis Anastasios Tefas AI4TS 107 6 0 15 Jun 2023
GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series ForecastingInternational Conference on Information and Knowledge Management (CIKM), 2023 Yanjun Zhao Ziqing Ma Tian Zhou Liang Sun M. Ye Yi Qian AI4TS 270 31 0 14 Jun 2023
Feature Programming for Multivariate Time Series PredictionInternational Conference on Machine Learning (ICML), 2023 Alex Reneau Jerry Yao-Chieh Hu Chenwei Xu Weijian Li Ammar Gilani Han Liu AI4TS 155 9 0 09 Jun 2023
Self-Interpretable Time Series Prediction with Counterfactual ExplanationsInternational Conference on Machine Learning (ICML), 2023 Jingquan Yan Hao Wang BDL AI4TS 326 21 0 09 Jun 2023
QBSD: Quartile-Based Seasonality Decomposition for Cost-Effective Time Series ForecastingInternational Conference on Communication Systems and Networks (COMSNETS), 2023 Ebenezer R. H. P. Isaac Bulbul Singh AI4TS 121 1 0 09 Jun 2023
Non-parametric Probabilistic Time Series Forecasting via Innovations Representation Xinyi Wang Mei-Yu Lee Qing Zhao Lang Tong AI4TS 185 3 0 05 Jun 2023
Encoding Time-Series Explanations through Self-Supervised Model Behavior ConsistencyNeural Information Processing Systems (NeurIPS), 2023 Owen Queen Thomas Hartvigsen Teddy Koker Huan He Theodoros Tsiligkaridis Marinka Zitnik AI4TS 270 33 0 03 Jun 2023
One for All: Unified Workload Prediction for Dynamic Multi-tenant Edge Cloud PlatformsKnowledge Discovery and Data Mining (KDD), 2023 Shaoyuan Huang Zheng Wang Hengda Zhang Xiaofei Wang Chen Zhang Wenyu Wang AI4TS 134 22 0 02 Jun 2023
Meta-Regression Analysis of Errors in Short-Term Electricity Load ForecastingEnergy-Efficient Computing and Networking (e-Energy), 2023 K. Hopf Hannah Hartstang Thorsten Staake AI4TS 124 9 0 29 May 2023
Attention Schema in Neural Agents Dianbo Liu Samuele Bolotta He Zhu Yoshua Bengio G. Dumas 196 7 0 27 May 2023
Stecformer: Spatio-temporal Encoding Cascaded Transformer for Multivariate Long-term Time Series Forecasting Zheng Sun Yi Wei Wenxiao Jia Long Yu AI4TS 125 1 0 25 May 2023
Feature-aligned N-BEATS with Sinkhorn divergenceInternational Conference on Learning Representations (ICLR), 2023 Joon-Young Lee Myeongho Jeon Myung-joo Kang Kyung-soon Park AI4TS 245 2 0 24 May 2023
Interpretation of Time-Series Deep Models: A Survey Ziqi Zhao Yucheng Shi Shushan Wu Fan Yang Wenzhan Song Ninghao Liu AI4TS 261 13 0 23 May 2023
Deep Learning based Forecasting: a case study from the online fashion industry Manuel Kunz Stefan Birr Mones Raslan Lei Ma Zhuguo Li ... Armin Kekić Michael Narodovitch Kashif Rasul Julian Sieber Tim Januschowski 271 19 0 23 May 2023
A Deeper (Autoregressive) Approach to Non-Convergent Discourse ParsingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Yoav Tulpan Oren Tsur 103 1 0 21 May 2023
Temporal Fusion Transformers for Streamflow Prediction: Value of Combining Attention with RecurrenceJournal of Hydrology (J Hydrol), 2023 Sinan Rasiya Koya Tirthankar Roy AI4TS 78 55 0 21 May 2023
CARD: Channel Aligned Robust Blend Transformer for Time Series ForecastingInternational Conference on Learning Representations (ICLR), 2023 Qingsong Wen Tian Zhou Qingsong Wen Jinyang Gao Bolin Ding Rong Jin AI4TS 357 77 0 20 May 2023
Short-Term Electricity Load Forecasting Using the Temporal Fusion Transformer: Effect of Grid Hierarchies and Data SourcesEnergy-Efficient Computing and Networking (e-Energy), 2023 Elena Giacomazzi Felix Haag K. Hopf 141 40 0 17 May 2023
pTSE: A Multi-model Ensemble Method for Probabilistic Time Series ForecastingInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Yunyi Zhou Zhixuan Chu Yijia Ruan Ge Jin Yuchen Huang Sheng Li AI4TS 180 16 0 16 May 2023
Hierarchically Coherent Multivariate Mixture Networks Kin G. Olivares Dave Luo Cristian Challu Stefania La Vattiata Max Mergenthaler-Canseco A. Dubrawski BDL AI4TS 164 0 0 11 May 2023
Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting Jimeng Shi Rukmangadh Myana Vitalii Stebliankin Azam Shirali Giri Narasimhan AI4TS 99 8 0 08 May 2023
Leveraging Deep Learning and Digital Twins to Improve Energy Performance of Buildings Zhongjun Ni Chi Zhang M. Karlsson Shaofang Gong AI4CE 152 10 0 08 May 2023
A Neural Network Transformer Model for Composite Microstructure HomogenizationEngineering applications of artificial intelligence (Eng. Appl. Artif. Intell.), 2023 Emil Pitz K. Pochiraju AI4CE 256 16 0 16 Apr 2023
Online Spatio-Temporal Learning with Target ProjectionInternational Conference on Artificial Intelligence Circuits and Systems (ICAICS), 2023 Thomas Ortner Lorenzo Pes Joris Gentinetta Charlotte Frenkel A. Pantazi 182 10 0 11 Apr 2023
OFTER: An Online Pipeline for Time Series ForecastingSocial Science Research Network (SSRN), 2023 N. Michael Mihai Cucuringu S. Howison AI4TS 48 2 0 08 Apr 2023
TransCODE: Co-design of Transformers and Accelerators for Efficient Training and InferenceIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2023 Shikhar Tuli N. Jha 191 7 0 27 Mar 2023
Feature Engineering Methods on Multivariate Time-Series Data for Financial Data Science Competitions Thomas Wong Mauricio Barahona 195 0 0 26 Mar 2023
The Battle of Information Representations: Comparing Sentiment and Semantic Features for Forecasting Market TrendsInternational Joint Conference on the Analysis of Images, Social Networks and Texts (AISNT), 2023 A.S. Zaichenko A. Kazakov Elizaveta Kovtun S. Budennyy AIFin 103 2 0 24 Mar 2023
How Does Attention Work in Vision Transformers? A Visual Analytics AttemptIEEE Transactions on Visualization and Computer Graphics (TVCG), 2023 Yiran Li Junpeng Wang Xin Dai Liang Wang Chin-Chia Michael Yeh Yan Zheng Wei Zhang Kwan-Liu Ma ViT 105 42 0 24 Mar 2023
MSTFormer: Motion Inspired Spatial-temporal Transformer with Dynamic-aware Attention for long-term Vessel Trajectory Prediction Huimin Qiang Zhiyuan Guo Shiyuan Xie Xiaodong Peng 94 3 0 21 Mar 2023
Deep incremental learning models for financial temporal tabular datasets with distribution shifts Thomas Wong Mauricio Barahona OOD AIFin AI4TS 542 0 0 14 Mar 2023
TSMixer: An All-MLP Architecture for Time Series Forecasting Si-An Chen Chun-Liang Li Nate Yoder Sercan O. Arik Tomas Pfister AI4TS 237 291 0 10 Mar 2023
Adaptive Interventions for Global Health: A Case Study of Malaria África Periánez A. Trister Madhav Nekkar Ana Fernández del Río P. Alonso 173 1 0 03 Mar 2023
GETNext: Trajectory Flow Map Enhanced Transformer for Next POI RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022 Song Yang Jiamou Liu Kaiqi Zhao AI4TS 142 207 0 03 Mar 2023