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"

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Title
AI Greenferencing: Routing AI Inferencing to Green Modular Data Centers with Heron Tella Rajashekhar Reddy Palak Rohan Gandhi Anjaly Parayil Chaojie Zhang ... Liangcheng Yu Jayashree Mohan Srinivasan Iyengar Shivkumar Kalyanaraman Debopam Bhattacherjee 21 0 0 15 May 2025
Decoding Futures Price Dynamics: A Regularized Sparse Autoencoder for Interpretable Multi-Horizon Forecasting and Factor Discovery Abhijit Gupta 28 0 0 11 May 2025
Unraveling Quantum Environments: Transformer-Assisted Learning in Lindblad Dynamics Chi-Sheng Chen En-Jui Kuo AI4CE 24 0 0 11 May 2025
Interpretable Spatial-Temporal Fusion Transformers: Multi-Output Prediction for Parametric Dynamical Systems with Time-Varying Inputs Shuwen Sun Lihong Feng P. Benner 45 0 0 01 May 2025
Evaluating Time Series Models for Urban Wastewater Management: Predictive Performance, Model Complexity and Resilience Vipin Singh Tianheng Ling Teodor Chiaburu F. Biessmann 43 0 0 24 Apr 2025
STFM: A Spatio-Temporal Information Fusion Model Based on Phase Space Reconstruction for Sea Surface Temperature Prediction Yin Wang Chunlin Gong Xiang Wu Hanleran Zhang 24 0 0 23 Apr 2025
Improving Significant Wave Height Prediction Using Chronos Models Yilin Zhai Hongyuan Shi Chao Zhan Qing Wang Zaijin You Nan Wang AI4Cl AI4CE 45 0 0 23 Apr 2025
Bidirectional Linear Recurrent Models for Sequence-Level Multisource Fusion Qisai Liu Zhanhong Jiang Joshua R. Waite Chao Liu Aditya Balu S. Sarkar AI4TS 24 0 0 11 Apr 2025
ms-Mamba: Multi-scale Mamba for Time-Series Forecasting Yusuf Meric Karadag Sinan Kalkan Ipek Gursel Dino Mamba AI4TS AI4CE 52 0 0 10 Apr 2025
Unifying Physics- and Data-Driven Modeling via Novel Causal Spatiotemporal Graph Neural Network for Interpretable Epidemic Forecasting Shuai Han Lukas Stelz Thomas R. Sokolowski K. Zhou H. Stocker 26 0 0 07 Apr 2025
Quantum Adaptive Self-Attention for Quantum Transformer Models Chi-Sheng Chen En-Jui Kuo 21 0 0 05 Apr 2025
Explainable and Interpretable Forecasts on Non-Smooth Multivariate Time Series for Responsible Gameplay Hussain Jagirdar Rukma Talwadker Aditya Pareek Pulkit Agrawal Tridib Mukherjee AI4TS 36 1 0 03 Apr 2025
CITRAS: Covariate-Informed Transformer for Time Series Forecasting Yosuke Yamaguchi Issei Suemitsu Wenpeng Wei AI4TS 48 0 0 31 Mar 2025
ModelRadar: Aspect-based Forecast Evaluation Vítor Cerqueira Luis Roque Carlos Soares 54 0 0 31 Mar 2025
Addressing Challenges in Time Series Forecasting: A Comprehensive Comparison of Machine Learning Techniques Seyedeh Azadeh Fallah Mortezanejad Ruochen Wang AI4TS 70 0 0 26 Mar 2025
Comparative analysis and evaluation of ageing forecasting methods for semiconductor devices in online health monitoring Adrian Villalobos Iban Barrutia Rafael Pena-Alzola Tomislav Dragicevic Jose I. Aizpurua 67 0 0 26 Mar 2025
Informer in Algorithmic Investment Strategies on High Frequency Bitcoin Data Filip Stefaniuk Robert Ślepaczuk AIFin 43 0 0 23 Mar 2025
From S4 to Mamba: A Comprehensive Survey on Structured State Space Models Shriyank Somvanshi Md Monzurul Islam Mahmuda Sultana Mimi Sazzad Bin Bashar Polock Gaurab Chhetri Subasish Das Mamba AI4TS 45 0 0 22 Mar 2025
A Reservoir-based Model for Human-like Perception of Complex Rhythm Pattern Zhongju Yuan Geraint Wiggins Dick Botteldooren 39 0 0 16 Mar 2025
Deep Learning for Time Series Forecasting: A Survey X. Kong Zhenghao Chen Weiyao Liu Kaili Ning Lechao Zhang Syauqie Muhammad Marier Yichen Liu Yuhao Chen Feng Xia AI4TS AI4CE 50 4 0 13 Mar 2025
MFRS: A Multi-Frequency Reference Series Approach to Scalable and Accurate Time-Series Forecasting Liang Yu Lai Tu Xiang Bai AI4TS 54 0 0 11 Mar 2025
Enhancing Time Series Forecasting via Logic-Inspired Regularization Jianqi Zhang Jingyao Wang Xingchen Shen Wenwen Qiang AI4TS 39 0 0 10 Mar 2025
A Time Series Multitask Framework Integrating a Large Language Model, Pre-Trained Time Series Model, and Knowledge Graph Shule Hao Junpeng Bao Chuncheng Lu AI4TS KELM 49 0 0 10 Mar 2025
VWAP Execution with Signature-Enhanced Transformers: A Multi-Asset Learning Approach Remi Genet 65 0 0 04 Mar 2025
Multi-Agent Reinforcement Learning with Long-Term Performance Objectives for Service Workforce Optimization Kareem Eissa Rayal Prasad Sarith Mohan Ankur Kapoor D. Comaniciu V. Singh 41 0 0 03 Mar 2025
Forecasting Local Ionospheric Parameters Using Transformers D. J. Alford-Lago C. Curtis Alexander T. Ihler Katherine A. Zawdie Douglas P. Drob 67 0 0 24 Feb 2025
Time series forecasting based on optimized LLM for fault prediction in distribution power grid insulators João Pedro Matos-Carvalho Stefano Frizzo Stefenon Valderi Reis Quietinho Leithardt Kin-Choong Yow AI4TS 43 0 0 24 Feb 2025
CoRe: Coherency Regularization for Hierarchical Time Series Rares Cristian Pavithra Harhsa Georgia Perakis Brian Quanz AI4TS 35 0 0 21 Feb 2025
Positional Encoding in Transformer-Based Time Series Models: A Survey Habib Irani Vangelis Metsis AI4TS 53 0 0 17 Feb 2025
SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms Remi Genet Hugo Inzirillo 91 3 0 13 Feb 2025
Flow-based Conformal Prediction for Multi-dimensional Time Series Junghwan Lee Chen Xu Yao Xie AI4TS AI4CE 42 0 0 08 Feb 2025
Comprehensive Modeling Approaches for Forecasting Bitcoin Transaction Fees: A Comparative Study Jiangqin Ma Erfan Mahmoudinia AI4TS 68 0 0 03 Feb 2025
STAN: Smooth Transition Autoregressive Networks Hugo Inzirillo Remi Genet 63 0 0 30 Jan 2025
A transformer-based deep q learning approach for dynamic load balancing in software-defined networks Evans Tetteh Owusu Kwame Agyemang-Prempeh Agyekum Marinah Benneh Pius Ayorna Justice Owusu Agyemang George Nii Martey Colley James Dzisi Gazde 40 0 0 28 Jan 2025
A Predictive Approach for Enhancing Accuracy in Remote Robotic Surgery Using Informer Model Muhammad Hanif Lashari Shakil Ahmed Wafa Batayneh Ashfaq A. Khokhar 40 0 0 24 Jan 2025
Explore the Use of Time Series Foundation Model for Car-Following Behavior Analysis Luwei Zeng Runze Yan AI4TS 38 0 0 13 Jan 2025
Analyzing Spatio-Temporal Dynamics of Dissolved Oxygen for the River Thames using Superstatistical Methods and Machine Learning Hankun He Takuya Boehringer Benjamin Schäfer Kate Heppell Christian Beck 46 3 0 10 Jan 2025
Integrating remote sensing data assimilation, deep learning and large language model for interactive wheat breeding yield prediction Guofeng Yang Nanfei Jin Wenjie Ai Zhonghua Zheng Yuhong He Yong He 38 0 0 08 Jan 2025
Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy Jamie Todd Junqi Jiang Aaron Russo Steffen Winkler Stuart Sale Joseph McMillan Antonio Rago AI4TS 31 0 0 07 Jan 2025
Scaling Sequential Recommendation Models with Transformers Pablo Zivic Hernán Ceferino Vázquez Jorge Sanchez OffRL LRM 79 1 0 10 Dec 2024
On autoregressive deep learning models for day-ahead wind power forecasting with irregular shutdowns due to redispatching Stefan Meisenbacher Silas Aaron Selzer Mehdi Dado Maximilian Beichter Tim Martin Markus Zdrallek Peter Bretschneider V. Hagenmeyer Ralf Mikut 74 0 0 30 Nov 2024
AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainability Stefan Meisenbacher Kaleb Phipps Oskar Taubert Marie Weiel Markus Gotz Ralf Mikut V. Hagenmeyer 72 0 0 30 Nov 2024
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Sotiris Pelekis Evangelos Karakolis G. Lampropoulos S. Mouzakitis Ourania Markaki Christos Ntanos D. Askounis 67 1 0 25 Nov 2024
Adaptive Process-Guided Learning: An Application in Predicting Lake DO Concentrations Runlong Yu Chonghao Qiu R. Ladwig Paul C. Hanson Yiqun Xie Yanhua Li Xiaowei Jia 67 3 0 20 Nov 2024
FlowScope: Enhancing Decision Making by Time Series Forecasting based on Prediction Optimization using HybridFlow Forecast Framework Nitin Sagar Boyeena Begari Susheel Kumar AI4TS 24 0 0 16 Nov 2024
BreakGPT: Leveraging Large Language Models for Predicting Asset Price Surges Aleksandr Simonyan AI4TS AIFin 30 0 0 09 Nov 2024
Training and Evaluating Causal Forecasting Models for Time-Series Thomas Crasson Yacine Nabet Mathias Lécuyer CML AI4TS 37 0 0 31 Oct 2024
Prospective Learning: Learning for a Dynamic Future Ashwin De Silva Rahul Ramesh Rubing Yang Siyu Yu Joshua T. Vogelstein Pratik Chaudhari AI4TS 63 0 0 31 Oct 2024
Higher-order Cross-structural Embedding Model for Time Series Analysis Guancen Lin Cong Shen Aijing Lin AI4TS 35 0 0 30 Oct 2024
A Temporal Linear Network for Time Series Forecasting Remi Genet Hugo Inzirillo AI4TS 26 3 0 28 Oct 2024