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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"

50 / 497 papers shown

Title
Causal Forecasting for Pricing Douglas Schultz Johannes Stephan Julian Sieber Trudie Yeh Manuel Kunz Patrick Doupe Tim Januschowski 250 3 0 23 Dec 2023
Spatiotemporal-Linear: Towards Universal Multivariate Time Series Forecasting Aiyinsi Zuo Haixi Zhang Zirui Li Ce Zheng AI4TS 102 1 0 22 Dec 2023
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting Shane Bergsma Timothy J. Zeyl J. R. Anaraki Lei Guo BDL AI4TS 228 17 0 22 Dec 2023
Deep Non-Parametric Time Series Forecaster Syama Sundar Rangapuram Jan Gasthaus Lorenzo Stella Valentin Flunkert David Salinas Yuyang Wang Tim Januschowski AI4TS 145 7 0 22 Dec 2023
AutoXPCR: Automated Multi-Objective Model Selection for Time Series Forecasting Raphael Fischer Amal Saadallah 199 5 0 20 Dec 2023
auto-sktime: Automated Time Series ForecastingLearning and Intelligent Optimization (LION), 2023 Marc-André Zöller Marius Lindauer Marco F. Huber AI4TS 295 2 0 13 Dec 2023
Adaptive Dependency Learning Graph Neural Networks Abishek Sriramulu Nicolas Fourrier Christoph Bergmeir AI4TS AI4CE 183 27 0 06 Dec 2023
CityTFT: Temporal Fusion Transformer for Urban Building Energy Modeling Ting-Yu Dai Dev K. Niyogi Zoltan Nagy 83 2 0 04 Dec 2023
GIVT: Generative Infinite-Vocabulary TransformersEuropean Conference on Computer Vision (ECCV), 2023 Michael Tschannen Cian Eastwood Fabian Mentzer 298 62 0 04 Dec 2023
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient TransformersLOG IN (LOG IN), 2023 Maciej Besta Afonso Claudino Catarino Lukas Gianinazzi Nils Blach Piotr Nyczyk H. Niewiadomski Torsten Hoefler 362 10 0 30 Nov 2023
FocusLearn: Fully-Interpretable, High-Performance Modular Neural Networks for Time SeriesIEEE International Joint Conference on Neural Network (IJCNN), 2023 Qiqi Su Christos Kloukinas Artur dÁvila Garcez AI4TS 301 8 0 28 Nov 2023
One Fits All: Universal Time Series Analysis by Pretrained LM and Specially Designed Adaptors Tian Zhou Peisong Niu Qingsong Wen Liang Sun Rong Jin AI4TS 211 4 0 24 Nov 2023
Forecasting Cryptocurrency Prices Using Deep Learning: Integrating Financial, Blockchain, and Text DataInternational Journal of Forecasting (IJF), 2023 Vincent Gurgul Stefan Lessmann Wolfgang Karl Härdle 173 4 0 23 Nov 2023
Deep State-Space Model for Predicting Cryptocurrency Price Shalini Sharma A. Majumdar Émilie Chouzenoux Victor Elvira 173 0 0 21 Nov 2023
Probabilistic Forecast Reconciliation with Kullback-Leibler Divergence Regularization Guanyu Zhang Feng Li Yanfei Kang AI4TS 90 0 0 21 Nov 2023
Large Pre-trained time series models for cross-domain Time series analysis tasks Harshavardhan Kamarthi B. A. Prakash VLM AI4TS 355 20 0 19 Nov 2023
Quantum Machine Learning for Remote Sensing: Exploring potential and challenges Mikolaj Czerkawski Lorenzo Papa B. L. Saux Irene Amerini 139 4 0 13 Nov 2023
Attention for Causal Relationship Discovery from Biological Neural Dynamics Ziyu Lu Anika Tabassum Shruti R. Kulkarni Lu Mi J. Nathan Kutz Eric Shea-Brown Seung-Hwan Lim CML 191 3 0 12 Nov 2023
Vital Sign Forecasting for Sepsis Patients in ICUs Anubhav Bhatti Yuwei Liu Chen Dan Bingjie Shen San Lee Yonghwan Kim Jang Yong Kim 76 5 0 08 Nov 2023
Deep Double Descent for Time Series Forecasting: Avoiding Undertrained Models Valentino Assandri Sam Heshmati Burhaneddin Yaman Anton Iakovlev Ariel Emiliano Repetur 348 0 0 02 Nov 2023
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability DataAAAI Conference on Artificial Intelligence (AAAI), 2023 Santosh Palaskar Vijay Ekambaram Arindam Jati Neelamadhav Gantayat Avirup Saha ... P. Mohapatra Harshit Kumar Jayant Kalagnanam N. Hemachandra N. Rangaraj 124 11 0 31 Oct 2023
A Systematic Review for Transformer-based Long-term Series ForecastingArtificial Intelligence Review (AIR), 2023 Liyilei Su Xumin Zuo Rui Li Xin Wang Heng Zhao Bingding Huang AI4TS 196 52 0 31 Oct 2023
Transfer Learning in Transformer-Based Demand Forecasting For Home Energy Management SystemInternational Conference on Systems for Energy-Efficient Built Environments (BuildSys), 2023 Gargya Gokhale Jonas Van Gompel Bert Claessens Chris Develder AI4TS 111 6 0 29 Oct 2023
Hierarchical Ensemble-Based Feature Selection for Time Series Forecasting Aysin Tumay M. Aydın Ali T. Koc Suleyman S. Kozat AI4TS 194 1 0 26 Oct 2023
Learning an Inventory Control Policy with General Inventory Arrival Dynamics Sohrab Andaz Carson Eisenach Dhruv Madeka Kari Torkkola Randy Jia Dean Phillips Foster Sham Kakade 249 4 0 26 Oct 2023
Hierarchical Forecasting at Scale O. Sprangers Wander S. Wadman Sebastian Schelter Maarten de Rijke AI4TS 85 4 0 19 Oct 2023
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following StrategiesThe Journal of Financial Data Science (JFDS), 2023 Kieran Wood Samuel Kessler Stephen J. Roberts S. Zohren AI4TS 231 4 0 16 Oct 2023
Forking Uncertainties: Reliable Prediction and Model Predictive Control with Sequence Models via Conformal Risk ControlIEEE Journal on Selected Areas in Information Theory (JSAIT), 2023 Matteo Zecchin Sangwoo Park Osvaldo Simeone 351 23 0 16 Oct 2023
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting Kashif Rasul Arjun Ashok Andrew Robert Williams Hena Ghonia Rishika Bhagwatkar ... Nicolas Chapados Alexandre Drouin Valentina Zantedeschi Yuriy Nevmyvaka Irina Rish AI4TS BDL 247 77 0 12 Oct 2023
Counterfactual Explanations for Time Series ForecastingIndustrial Conference on Data Mining (IDM), 2023 Zhendong Wang Ioanna Miliou Isak Samsten P. Papapetrou BDL AI4TS OOD 162 9 0 12 Oct 2023
Deep Optimal Timing Strategies for Time Series Chen Pan Fan Zhou Xuanwei Hu Xinxin Zhu Wenxin Ning Zi Zhuang Siqiao Xue James Y. Zhang Yun Hu AI4TS 104 4 0 09 Oct 2023
Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain Gerald Woo Chenghao Liu Akshat Kumar Doyen Sahoo AI4TS AI4CE 311 18 0 08 Oct 2023
Waveformer for modelling dynamical systems N. Navaneeth Souvik Chakraborty 100 2 0 08 Oct 2023
TimeGPT-1 Azul Garza Cristian Challu Max Mergenthaler-Canseco AI4TS 195 172 0 05 Oct 2023
Perceiver-based CDF Modeling for Time Series Forecasting Cat P. Le Chris Cannella Ali Hasan Yuting Ng Vahid Tarokh AI4TS 223 1 0 03 Oct 2023
TranDRL: A Transformer-Driven Deep Reinforcement Learning Enabled Prescriptive Maintenance FrameworkIEEE Internet of Things Journal (IEEE IoT J.), 2023 Yang Zhao Jiaxi Yang Wenbo Wang Helin Yang Dusit Niyato AI4TS AI4CE 189 18 0 29 Sep 2023
Asset Bundling for Wind Power Forecasting Hanyu Zhang Mathieu Tanneau Chaofan Huang V. R. Joseph Shangkun Wang Pascal Van Hentenryck AI4TS 114 0 0 28 Sep 2023
A Primer on Bayesian Neural Networks: Review and Debates Federico Danieli Konstantinos Pitas M. Vladimirova Vincent Fortuin BDL AAML 227 34 0 28 Sep 2023
TFBEST: Dual-Aspect Transformer with Learnable Positional Encoding for Failure Prediction Rohan Mohapatra Saptarshi Sengupta 98 3 0 06 Sep 2023
Encoding Seasonal Climate Predictions for Demand Forecasting with Modular Neural Network S. Marvaniya Jitendra Singh Nicolas Galichet Fred Ochieng Otieno Geeth de Mel Kommy Weldemariam AI4TS 182 0 0 05 Sep 2023
Learning for Interval Prediction of Electricity Demand: A Cluster-based Bootstrapping Approach Rohit Dube Natarajan Gautam Amarnath Banerjee Harsha Nagarajan 113 0 0 04 Sep 2023
Learning-based NLOS Detection and Uncertainty Prediction of GNSS Observations with Transformer-Enhanced LSTM Network Haoming Zhang Zhanxin Wang Heike Vallery 130 12 0 01 Sep 2023
Forecasting Emergency Department Crowding with Advanced Machine Learning Models and Multivariable Input Jalmari Tuominen Eetu Pulkkinen Jaakko Peltonen Juho Kanniainen N. Oksala A. Palomäki A. Roine 89 0 0 31 Aug 2023
Meta Attentive Graph Convolutional Recurrent Network for Traffic Forecasting Adnan Zeb Yongchao Ye Shiyao Zhang James Jianqiao Yu AI4TS 216 0 0 28 Aug 2023
Business Metric-Aware Forecasting for Inventory Management Helen Zhou Sercan O. Arik Jingtao Wang AI4TS 145 5 0 24 Aug 2023
TrackFlow: Multi-Object Tracking with Normalizing FlowsIEEE International Conference on Computer Vision (ICCV), 2023 Gianluca Mancusi Aniello Panariello Angelo Porrello Matteo Fabbri Simone Calderara Rita Cucchiara VOT 145 20 0 22 Aug 2023
ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GANInternational Journal of Data Science and Analysis (IJDSA), 2023 M. A. Bashar R. Nayak AI4TS 149 11 0 13 Aug 2023
AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting Oleksandr Shchur Caner Turkmen Nick Erickson Huibin Shen Alexander Shirkov Tony Hu Bernie Wang BDL AI4TS 171 51 0 10 Aug 2023
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