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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
The Counterfactual-Shapley Value: Attributing Change in System Metrics Amit Sharma Hua Li Jian Jiao 167 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
Mining Reaction and Diffusion Dynamics in Social ActivitiesInternational Conference on Information and Knowledge Management (CIKM), 2022 Taichi Murayama Yasuko Matsubara Yasushi Sakurai 128 1 0 07 Aug 2022
Modeling Price Elasticity for Occupancy Prediction in Hotel Dynamic PricingInternational Conference on Information and Knowledge Management (CIKM), 2022 Fanwei Zhu Wendong Xiao Yao Yu Ziyi Wang Zulong Chen Quan Lu Zemin Liu Ming-hui Wu Shenghua Ni 83 7 0 04 Aug 2022
Respecting Time Series Properties Makes Deep Time Series Forecasting Perfect Li Shen Yuning Wei Yangzhu Wang AI4TS 181 8 0 22 Jul 2022
MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval Augmentation Sitan Yang Carson Eisenach Dhruv Madeka AI4TS 104 10 0 21 Jul 2022
Deep Transformer Model with Pre-Layer Normalization for COVID-19 Growth Prediction Rizki Ramadhan Fitra N. Yudistira W. Mahmudy 103 1 0 10 Jul 2022
A Temporal Fusion Transformer for Long-term Explainable Prediction of Emergency Department Overcrowding Francisco M. Caldas Cláudia Soares 110 10 0 01 Jul 2022
TreeDRNet:A Robust Deep Model for Long Term Time Series Forecasting Tian Zhou Jianqing Zhu Qingsong Wen Ziqing Ma Qingsong Wen Liang Sun Rong Jin AI4TS 144 4 0 24 Jun 2022
Predicting Hate Intensity of Twitter Conversation ThreadsKnowledge-Based Systems (KBS), 2022 Qing Meng Tharun Suresh Roy Ka-wei Lee Tanmoy Chakraborty 284 23 0 16 Jun 2022
Invariant Structure Learning for Better Generalization and Causal Explainability Yunhao Ge Sercan O. Arik Chang Jo Kim Ao Xu Laurent Itti Tomas Pfister OOD CML 125 2 0 13 Jun 2022
Interpretable Mixture of Experts Aya Abdelsalam Ismail Sercan O. Arik Chang Jo Kim Ankur Taly Soheil Feizi Tomas Pfister MoE 174 14 0 05 Jun 2022
Why Did This Model Forecast This Future? Closed-Form Temporal Saliency Towards Causal Explanations of Probabilistic Forecasts Chirag Raman Hayley Hung Marco Loog 173 3 0 01 Jun 2022
VQ-AR: Vector Quantized Autoregressive Probabilistic Time Series Forecasting Kashif Rasul Young-Jin Park Max Nihlén Ramström KyungHyun Kim BDL AI4TS 112 5 0 31 May 2022
Analytics of Business Time Series Using Machine Learning and Bayesian Inference B. Pavlyshenko BDL AI4TS 267 2 0 25 May 2022
UMSNet: An Universal Multi-sensor Network for Human Activity Recognition Jialiang Wang Hao Wei Yi Wang Shujia Yang Chi Li HAI 111 1 0 24 May 2022
Forecasting of Non-Stationary Sales Time Series Using Deep Learning B. Pavlyshenko AI4TS 135 5 0 23 May 2022
Interpretable Feature Engineering for Time Series Predictors using Attention NetworksSocial Science Research Network (SSRN), 2022 Tian Wang Jie Chen J. Vaughan V. Nair AI4TS 94 0 0 23 May 2022
Instance-Based Uncertainty Estimation for Gradient-Boosted Regression TreesNeural Information Processing Systems (NeurIPS), 2022 Jonathan Brophy Daniel Lowd 162 14 0 23 May 2022
Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media PostsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 Felix Drinkall S. Zohren J. Pierrehumbert 120 5 0 20 May 2022
Multimodal Indoor Localisation for Measuring Mobility in Parkinson's Disease using Transformers Ferdian Jovan Ryan McConville Catherine Morgan E. Tonkin Alan Whone I. Craddock 76 1 0 12 May 2022
Efficient Automated Deep Learning for Time Series Forecasting Difan Deng Florian Karl Katharina Eggensperger B. Bischl Marius Lindauer AI4TS 292 19 0 11 May 2022
Real-time Forecasting of Time Series in Financial Markets Using Sequentially Trained Many-to-one LSTMs Kelum Gajamannage Yonggi Park AI4TS AIFin 134 4 0 10 May 2022
Transformers in Time-series Analysis: A TutorialCircuits, systems, and signal processing (CSSP), 2022 Sabeen Ahmed Ian E. Nielsen Aakash Tripathi Shamoon Siddiqui Ghulam Rasool R. Ramachandran AI4TS 283 242 0 28 Apr 2022
Approaching sales forecasting using recurrent neural networks and transformersExpert systems with applications (ESWA), 2022 Iván Vallés-Pérez E. Soria-Olivas M. Martínez-Sober Antonio J. Serrano J. Gómez-Sanchís Fernando Mateo AI4TS 123 49 0 16 Apr 2022
TiSAT: Time Series Anomaly TransformerIEEE International Joint Conference on Neural Network (IJCNN), 2022 Keval Doshi Shatha Abudalou Yasin Yılmaz AI4TS 195 18 0 10 Mar 2022
A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19Hawaii International Conference on System Sciences (HICSS), 2022 Ashkan Farhangi Arthur Huang Zhishan Guo 91 2 0 08 Mar 2022
Multivariate Time Series Forecasting with Latent Graph Inference Victor Garcia Satorras Syama Sundar Rangapuram Tim Januschowski AI4TS 210 33 0 07 Mar 2022
Interpretable Latent Variables in Deep State Space Models Haoxuan Wu David S. Matteson M. Wells BDL AI4TS 170 0 0 03 Mar 2022
High-Modality Multimodal Transformer: Quantifying Modality & Interaction Heterogeneity for High-Modality Representation Learning Paul Pu Liang Yiwei Lyu Xiang Fan Jeffrey Tsaw Yudong Liu Shentong Mo Dani Yogatama Louis-Philippe Morency Ruslan Salakhutdinov 198 41 0 02 Mar 2022
Robust Probabilistic Time Series ForecastingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Taeho Yoon Youngsuk Park Ernest K. Ryu Yuyang Wang AAML AI4TS 158 24 0 24 Feb 2022
Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series ForecastingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Dazhao Du Fuchun Sun Zhewei Wei AI4TS 165 68 0 23 Feb 2022
Multivariate Quantile Function ForecasterInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Kelvin K. Kan Franccois-Xavier Aubet Tim Januschowski Youngsuk Park Konstantinos Benidis Lars Ruthotto Jan Gasthaus AI4TS 243 26 0 23 Feb 2022
Semi-Supervised Learning and Data Augmentation in Wearable-based Momentary Stress Detection in the Wild Han Yu Akane Sano 142 14 0 22 Feb 2022
Multi-Objective Model Selection for Time Series Forecasting Oliver Borchert David Salinas Valentin Flunkert Tim Januschowski Stephan Günnemann AI4TS 205 9 0 17 Feb 2022
Robust Nonparametric Distribution Forecast with Backtest-based Bootstrap and Adaptive Residual SelectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Longshaokan Wang Lingda Wang M. Georgieva Paulo Machado Abinaya Ulagappa Safwan Ahmed Yanxia Lu Arjun Bakshi F. Ghassemi TTA 74 1 0 16 Feb 2022
A Neural Phillips Curve and a Deep Output GapSocial Science Research Network (SSRN), 2022 Philippe Goulet Coulombe 103 11 0 08 Feb 2022
TACTiS: Transformer-Attentional Copulas for Time SeriesInternational Conference on Machine Learning (ICML), 2022 Alexandre Drouin Étienne Marcotte Nicolas Chapados AI4TS 535 50 0 07 Feb 2022
HERMES: Hybrid Error-corrector Model with inclusion of External Signals for nonstationary fashion time series Etienne David Jean Bellot Sylvain Le Corff 211 4 0 07 Feb 2022
Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series Sercan O. Arik Nathanael Yoder Tomas Pfister TTA AI4TS 264 27 0 04 Feb 2022
N-HiTS: Neural Hierarchical Interpolation for Time Series ForecastingAAAI Conference on Artificial Intelligence (AAAI), 2022 Cristian Challu Kin G. Olivares Boris N. Oreshkin Federico Garza Max Mergenthaler-Canseco A. Dubrawski AI4TS 366 359 0 30 Jan 2022
Fast Monte-Carlo Approximation of the Attention MechanismAAAI Conference on Artificial Intelligence (AAAI), 2022 Hyunjun Kim Jeonggil Ko 174 4 0 30 Jan 2022
Social Neuro AI: Social Interaction as the "dark matter" of AI Samuele Bolotta G. Dumas 293 26 0 31 Dec 2021
Toward Explainable AI for Regression ModelsIEEE Signal Processing Magazine (IEEE SPM), 2021 S. Letzgus Patrick Wagner Jonas Lederer Wojciech Samek Klaus-Robert Muller G. Montavon XAI 217 80 0 21 Dec 2021
Earthquake Nowcasting with Deep Learning Geoffrey C. Fox John B. Rundle A. Donnellan Bo Feng AI4Cl AI4CE 120 12 0 18 Dec 2021
A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling Thabang Mathonsi Terence L van Zyl AI4TS 144 36 0 16 Dec 2021
Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture Kieran Wood Sven Giegerich Stephen J. Roberts S. Zohren AI4TS AIFin 260 23 0 16 Dec 2021
Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach Maximilian Würfel Qiwei Han Maximilian Kaiser AI4TS 98 9 0 16 Nov 2021
Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series ForecastingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Youngsuk Park Danielle C. Maddix Franccois-Xavier Aubet Kelvin K. Kan Jan Gasthaus Yuyang Wang UQCV AI4TS 271 49 0 12 Nov 2021
Meta-Forecasting by combining Global Deep Representations with Local Adaptation Riccardo Grazzi Valentin Flunkert David Salinas Tim Januschowski Matthias Seeger Cédric Archambeau AI4TS AI4CE 178 7 0 05 Nov 2021