Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting

19 December 2019

Tomas Pfister

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

50 / 389 papers shown

Title
Citywide Electric Vehicle Charging Demand Prediction Approach Considering Urban Region and Dynamic Influences Haoxuan Kuang Kunxiang Deng Linlin You Jun Li 22 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 18 0 0 24 Oct 2024
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories Maurice Kraus Felix Divo D. Dhami Kristian Kersting AI4TS 35 2 0 22 Oct 2024
Just In Time Transformers Ahmed Ala Eddine Benali M. Cafaro I. Epicoco Marco Pulimeno Enrico Junior Schioppa AI4TS 16 0 0 22 Oct 2024
Forecasting Opioid Incidents for Rapid Actionable Data for Opioid Response in Kentucky Aaron D. Mullen Daniel Harris Peter Rock Svetla Slavova Jeffery Talbert V. Bumgardner 27 0 0 21 Oct 2024
Forecasting Company Fundamentals Felix Divo Eric Endress Kevin Endler Kristian Kersting D. Dhami AI4TS 20 0 0 21 Oct 2024
ANT: Adaptive Noise Schedule for Time Series Diffusion Models Seunghan Lee Kibok Lee Taeyoung Park AI4TS DiffM 38 3 0 18 Oct 2024
Transfer Learning on Transformers for Building Energy Consumption Forecasting -- A Comparative Study Robert Spencer Surangika Ranathunga Mikael Boulic Andries van Heerden AI4TS 125 0 0 18 Oct 2024
ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction Kshitij Tayal Arvind Renganathan Xiaowei Jia Vipin Kumar Dan Lu AI4TS 24 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 23 0 0 14 Oct 2024
SwiftQueue: Optimizing Low-Latency Applications with Swift Packet Queuing Siddhant Ray Xi Jiang Jack Luo Nick Feamster Junchen Jiang 49 0 0 08 Oct 2024
GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks Renat Sergazinov Elizabeth Chun Valeriya Rogovchenko Nathaniel Fernandes Nicholas Kasman I. Gaynanova AI4TS 27 3 0 08 Oct 2024
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting Yong Liu Guo Qin Xiangdong Huang Jianmin Wang Mingsheng Long AI4TS 29 6 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 24 0 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 28 0 0 04 Oct 2024
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting Marcel Kollovieh Marten Lienen David Ludke Leo Schwinn Stephan Günnemann AI4TS BDL DiffM 42 3 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 25 0 0 02 Oct 2024
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns Shengsheng Lin Weiwei Lin Xinyi Hu Wentai Wu Ruichao Mo Haocheng Zhong AI4TS 30 14 0 27 Sep 2024
The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems África Periánez Ana Fernández del Río Ivan Nazarov Enric Jané Moiz Hassan Aditya Rastogi Dexian Tang 44 11 0 24 Sep 2024
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts X. Shi Shiyu Wang Yuqi Nie Dianqi Li Zhou Ye Qingsong Wen Ming Jin AI4TS 36 26 0 24 Sep 2024
TFT-multi: simultaneous forecasting of vital sign trajectories in the ICU Rosemary Y. He Jeffrey N. Chiang 35 0 0 23 Sep 2024
A Gated Residual Kolmogorov-Arnold Networks for Mixtures of Experts Hugo Inzirillo Remi Genet MoE 30 4 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 35 2 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 14 6 0 05 Sep 2024
DLFormer: Enhancing Explainability in Multivariate Time Series Forecasting using Distributed Lag Embedding Younghwi Kim Dohee Kim Sunghyun Sim AI4TS 24 0 0 29 Aug 2024
Evaluating Credit VIX (CDS IV) Prediction Methods with Incremental Batch Learning Robert Taylor 14 0 0 27 Aug 2024
Robust Predictions with Ambiguous Time Delays: A Bootstrap Strategy Jiajie Wang Zhiyuan Jerry Lin Wen Chen AI4TS 13 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 23 0 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 28 2 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 36 1 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 24 0 0 19 Aug 2024
Partial-Multivariate Model for Forecasting Jaehoon Lee Hankook Lee Sungik Choi Sungjun Cho Moontae Lee AI4TS 44 0 0 19 Aug 2024
Unlocking the Power of LSTM for Long Term Time Series Forecasting Yaxuan Kong Zepu Wang Yuqi Nie Tian Zhou Stefan Zohren Yuxuan Liang Peng Sun Qingsong Wen AI4TS 22 12 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 26 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 34 2 0 15 Aug 2024
A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring V. Karkaria Jie Chen Christopher Luey Chase Siuta Damien Lim Robert Radulescu Wei Chen 34 2 0 12 Aug 2024
An Evaluation of Standard Statistical Models and LLMs on Time Series Forecasting Rui Cao Qiao Wang 29 1 0 09 Aug 2024
RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms Luis Roque Carlos Soares Luís Torgo AI4TS 25 1 0 06 Aug 2024
A Backbone for Long-Horizon Robot Task Understanding Xiaoshuai Chen Wei Chen Dongmyoung Lee Yukun Ge Nicolás Rojas Petar Kormushev 41 3 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 32 1 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 18 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 36 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 31 0 0 30 Jun 2024
SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Series Hugo Inzirillo Remi Genet 21 12 0 25 Jun 2024
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data Zexing Xu Linjun Zhang Sitan Yang Rasoul Etesami Hanghang Tong Huan Zhang Jiawei Han AI4TS 28 3 0 23 Jun 2024
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis Haoxin Liu Shangqing Xu Zhiyuan Zhao Lingkai Kong Harshavardhan Kamarthi ... Megha Sharma Jiaming Cui Qingsong Wen Chao Zhang B. Aditya Prakash AI4TS 40 4 0 12 Jun 2024
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach Georgios Tsoumplekas C. Athanasiadis Dimitrios I. Doukas Antonios C. Chrysopoulos P. Mitkas AI4TS 32 3 0 09 Jun 2024
Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach Difan Deng Marius Lindauer AI4TS 53 0 0 07 Jun 2024
A Temporal Kolmogorov-Arnold Transformer for Time Series Forecasting Remi Genet Hugo Inzirillo AI4TS 24 43 0 04 Jun 2024
A Survey of Transformer Enabled Time Series Synthesis Alexander Sommers Logan Cummins Sudip Mittal Shahram Rahimi Maria Seale Joseph Jaboure Thomas Arnold AI4TS 40 2 0 04 Jun 2024