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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
A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy driversSustainable Energy, Grids and Networks (SEGAN), 2023 Sotiris Pelekis Ioannis-Konstantinos Seisopoulos Evangelos Spiliotis Theodosios Pountridis Evangelos Karakolis S. Mouzakitis D. Askounis 183 26 0 23 Feb 2023
One Fits All:Power General Time Series Analysis by Pretrained LMNeural Information Processing Systems (NeurIPS), 2023 Tian Zhou Peisong Niu Qingsong Wen Liang Sun Rong Jin AI4TS 338 703 0 23 Feb 2023
Adaptive Sampling for Probabilistic Forecasting under Distribution Shift Luca Masserano Syama Sundar Rangapuram Shubham Kapoor Rajbir-Singh Nirwan Youngsuk Park Michael Bohlke-Schneider TTA AI4TS 169 3 0 23 Feb 2023
The DeepCAR Method: Forecasting Time-Series Data That Have Change Points Ayla Jungbluth Johannes Lederer BDL 3DPC AI4TS 100 4 0 22 Feb 2023
Exploring the Advantages of Transformers for High-Frequency Trading Fazl Barez Paul Bilokon Arthur Gervais Nikita Lisitsyn AI4TS 56 6 0 20 Feb 2023
Masked Multi-Step Probabilistic Forecasting for Short-to-Mid-Term Electricity DemandIEEE Power & Energy Society General Meeting (PESGM), 2023 Yiwei Fu Nurali Virani Honggang Wang AI4TS 98 7 0 14 Feb 2023
Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding LandscapeInternational Conference on Data Science and Advanced Analytics (DSAA), 2023 Fynn Oldenburg Qiwei Han Maximilian Kaiser 103 1 0 11 Feb 2023
Predicting the performance of hybrid ventilation in buildings using a multivariate attention-based biLSTM Encoder-Decoder neural network Gaurav Chaudhary H. Johra L. Georges Bjørn Austbø AI4CE 67 3 0 08 Feb 2023
ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information Benedikt Heidrich Kaleb Phipps Oliver Neumann Marian Turowski Ralf Mikut V. Hagenmeyer AI4TS BDL 141 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 141 1 0 03 Feb 2023
A novel automatic wind power prediction framework based on multi-time scale and temporal attention mechanisms Meiyu Jiang Jun Shen Xuetao Jiang Lihui Luo R. Zhou Qingguo Zhou 144 0 0 02 Feb 2023
Large-Scale Traffic Data Imputation with Spatiotemporal Semantic Understanding Kunpeng Zhang Lan Wu Liang Zheng Na Xie Zhengbing He AI4TS 129 1 0 27 Jan 2023
Multi-view Kernel PCA for Time series ForecastingNeurocomputing (Neurocomputing), 2023 Arun Pandey Hannes De Meulemeester B. De Moor Johan A. K. Suykens AI4TS 177 7 0 24 Jan 2023
DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic ForecastingSocial Science Research Network (SSRN), 2023 Ozan Ozyegen Juyoung Wang Mucahit Cevik BDL AI4TS 111 2 0 05 Jan 2023
Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting ProblemAdaptive Agents and Multi-Agent Systems (AAMAS), 2023 Peiwang Tang Xianchao Zhang AI4TS 261 8 0 04 Jan 2023
A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting Syed Kazmi Berk Görgülü Mucahit Cevik M. Baydogan 103 6 0 02 Jan 2023
Online learning techniques for prediction of temporal tabular datasets with regime changes Thomas Wong Mauricio Barahona OOD AI4TS 240 1 0 30 Dec 2022
Gaussian Process Latent Variable Modeling for Few-shot Time Series ForecastingIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 Yunyao Cheng Chenjuan Guo Kai Chen Kai Zhao B. Yang Jiandong Xie Christian S. Jensen Feiteng Huang Kai Zheng AI4TS 239 1 0 20 Dec 2022
Denoising instrumented mouthguard measurements of head impact kinematics with a convolutional neural networkIEEE Transactions on Biomedical Engineering (IEEE TBME), 2022 Xianghao Zhan Yuzhe Liu Nicholas J. Cecchi Ashlyn A. Callan Enora Le Flao Olivier Gevaert M. Zeineh Gerald Grant David B. Camarillo 77 8 0 19 Dec 2022
Leveraging Wastewater Monitoring for COVID-19 Forecasting in the US: a Deep Learning study Mehrdad Fazli Heman Shakeri 99 2 0 17 Dec 2022
Temporal Saliency Detection Towards Explainable Transformer-based Timeseries Forecasting Nghia Duong-Trung Kiran Madhusudhanan Danh Le-Phuoc AI4TS 240 4 0 15 Dec 2022
Improving Accuracy Without Losing Interpretability: A ML Approach for Time Series Forecasting Yiqi Sun Zheng Shi Jianshen Zhang Yongzhi Qi Hao Hu Zuo-jun Shen AI4TS 140 1 0 13 Dec 2022
Towards Better Long-range Time Series Forecasting using Generative Forecasting Shiyu Liu Rohan Ghosh Mehul Motani AI4TS 240 3 0 09 Dec 2022
GreenEyes: An Air Quality Evaluating Model based on WaveNet Kan Huang Kai Zhang Ming-de Liu 63 2 0 08 Dec 2022
Sequential Predictive Conformal Inference for Time SeriesInternational Conference on Machine Learning (ICML), 2022 Chen Xu Yao Xie UQLM AI4TS 278 54 0 07 Dec 2022
cs-net: structural approach to time-series forecasting for high-dimensional feature space data with limited observations Weiyu Zong Mingqian Feng Griffin Heyrich Peter Chin BDL AI4TS 106 0 0 05 Dec 2022
Data-driven Science and Machine Learning Methods in Laser-Plasma PhysicsHigh Power Laser Science and Engineering (HPLSE), 2022 Andreas Döpp C. Eberle S. Howard F. Irshad Jinpu Lin M. Streeter AI4CE 261 87 0 30 Nov 2022
Federated Learning for 5G Base Station Traffic Forecasting V. Perifanis Nikolaos Pavlidis R. Koutsiamanis P. Efraimidis AI4TS 229 59 0 28 Nov 2022
A Transformer Framework for Data Fusion and Multi-Task Learning in Smart Cities Alexander C. DeRieux Walid Saad W. Zuo R. Budiarto M. D. Koerniawan D. Novitasari 103 1 0 18 Nov 2022
HigeNet: A Highly Efficient Modeling for Long Sequence Time Series Prediction in AIOps Jiajia Li Feng Tan Cheng He Zikai Wang Haitao Song Lingfei Wu Pengwei Hu 122 0 0 13 Nov 2022
A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting Aryan Jadon Avinash Patil Shruti Jadon AI4TS AI4CE 107 115 0 05 Nov 2022
Deep learning for structural health monitoring: An application to heritage structures F. Carrara Fabrizio Falchi M. Girardi Nicola Messina C. Padovani D. Pellegrini 83 2 0 04 Nov 2022
Deep Temporal Modelling of Clinical Depression through Social Media TextNatural Language Processing Journal (JNLP), 2022 Nawshad Farruque Randy Goebel Sudhakar Sivapalan Osmar R. Zaïane 200 7 0 28 Oct 2022
A Long-term Dependent and Trustworthy Approach to Reactor Accident Prognosis based on Temporal Fusion Transformer Chengyuan Li Zihan Qiu Yugao Ma Mei Li 81 1 0 28 Oct 2022
On Trustworthy Decision-Making Process of Human Drivers from the View of Perceptual Uncertainty Reduction Huanjie Wang Haibin Liu Wenshuo Wang Lijun Sun 144 5 0 15 Oct 2022
Deep Regression UnlearningInternational Conference on Machine Learning (ICML), 2022 Ayush K Tarun Vikram S Chundawat Murari Mandal Mohan S. Kankanhalli BDL MU 184 47 0 15 Oct 2022
Self-explaining Hierarchical Model for Intraoperative Time SeriesIndustrial Conference on Data Mining (IDM), 2022 Dingwen Li Bing Xue C. King Bradley A. Fritz M. Avidan Joanna Abraham Chenyang Lu AI4CE 95 4 0 10 Oct 2022
Interpreting County Level COVID-19 Infection and Feature Sensitivity using Deep Learning Time Series Models Md. Khairul Islam Di Zhu Yingzheng Liu Andrej Erkelens Nick Daniello Judy Fox 105 2 0 06 Oct 2022
A case study of spatiotemporal forecasting techniques for weather forecasting Shakir Showkat Sofi Ivan Oseledets 145 10 0 29 Sep 2022
Masked Multi-Step Multivariate Time Series Forecasting with Future Information Yiwei Fu Honggang Wang Nurali Virani AI4TS 136 2 0 28 Sep 2022
Towards Automatic Forecasting: Evaluation of Time-Series Forecasting Models for Chickenpox Cases Estimation in HungaryInternational Conference on Intelligent Systems Design and Applications (ISDA), 2022 Wadie Skaf Arzu Tosayeva Dániel Várkonyi AI4TS 53 4 0 28 Sep 2022
Just-In-Time Learning for Operational Risk Assessment in Power Grids Oliver Stover Pranav M. Karve S. Mahadevan Wenbo Chen Haoruo Zhao Mathieu Tanneau Pascal Van Hentenryck 142 3 0 26 Sep 2022
A Robust and Explainable Data-Driven Anomaly Detection Approach For Power ElectronicsIEEE International Conference on Smart Grid Communications (SmartGridComm), 2022 Alexander Beattie Pavol Mulinka Subham S. Sahoo I. Christou Charalampos Kalalas Daniel Gutierrez-Rojas P. H. Nardelli 62 6 0 23 Sep 2022
Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty QuantificationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Renat Sergazinov Mohammadreza Armandpour I. Gaynanova BDL AI4TS MedIm 226 21 0 09 Sep 2022
Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open QuestionsACM Computing Surveys (ACM CSUR), 2022 Paul Pu Liang Amir Zadeh Louis-Philippe Morency 238 155 0 07 Sep 2022
Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer ArchitecturesApplied Energy (Appl. Energy), 2022 Lars Odegaard Bentsen N. Warakagoda R. Stenbro P. Engelstad AI4TS 105 146 0 29 Aug 2022
AA-Forecast: Anomaly-Aware Forecast for Extreme EventsData mining and knowledge discovery (DMKD), 2022 Ashkan Farhangi Jiang Bian Arthur Huang Haoyi Xiong Jun Wang Zhi-guo Guo AI4TS 104 5 0 21 Aug 2022
Expressing Multivariate Time Series as Graphs with Time Series Attention Transformer W. Ng K. Siu Albert C. Cheung Michael K. Ng AI4TS 127 10 0 19 Aug 2022
The Counterfactual-Shapley Value: Attributing Change in System Metrics Amit Sharma Hua Li Jian Jiao 147 2 0 17 Aug 2022
New drugs and stock market: how to predict pharma market reaction to clinical trial announcements S. Budennyy Alexey Kazakov Elizaveta Kovtun L. Zhukov AIFin 97 1 0 11 Aug 2022