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
Robust Image Semantic Coding with Learnable CSI Fusion Masking over MIMO Fading Channels Bingyan Xie Yongpeng Wu Yuxuan Shi Wenjun Zhang Shuguang Cui Merouane Debbah 37 3 0 30 May 2024
FTMixer: Frequency and Time Domain Representations Fusion for Time Series Modeling Zhengnan Li Yunxiao Qin Xilong Cheng Yuting Tan AI4TS 60 3 0 24 May 2024
MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model Md Abrar Jahin Asef Shahriar Md Al Amin AI4TS 44 4 0 24 May 2024
Intervention-Aware Forecasting: Breaking Historical Limits from a System Perspective Zhijian Xu Hao Wang Qiang Xu AI4TS 41 11 0 22 May 2024
System Safety Monitoring of Learned Components Using Temporal Metric Forecasting Sepehr Sharifi Andrea Stocco Lionel C. Briand AI4TS 48 1 0 21 May 2024
Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost Theodoros Zafeiriou Dimitris Kalles AI4TS 24 0 0 17 May 2024
Airport Delay Prediction with Temporal Fusion Transformers Ke Liu Kaijing Ding Xi Cheng Jianan Chen Siyuan Feng Hui Lin Jilin Song Chen Zhu 21 2 0 14 May 2024
Forecasting with Hyper-Trees Alexander März Kashif Rasul 44 0 0 13 May 2024
TKAN: Temporal Kolmogorov-Arnold Networks Remi Genet Hugo Inzirillo AI4TS AI4CE 22 67 0 12 May 2024
Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting Abishek Sriramulu Christoph Bergmeir Slawek Smyl AI4TS 23 0 0 12 May 2024
VAEneu: A New Avenue for VAE Application on Probabilistic Forecasting Alireza Koochali Ensiye Tahaei Andreas Dengel Sheraz Ahmed AI4TS 28 1 0 07 May 2024
A Reliable Framework for Human-in-the-Loop Anomaly Detection in Time Series Ziquan Deng Xiwei Xuan Kwan-Liu Ma Zhaodan Kong AI4TS 23 0 0 06 May 2024
Interpretable Vital Sign Forecasting with Model Agnostic Attention Maps Yuwei Liu Chen Dan Anubhav Bhatti Bingjie Shen Divij Gupta Surajsinh Parmar San Lee 32 0 0 02 May 2024
DAM: A Universal Dual Attention Mechanism for Multimodal Timeseries Cryptocurrency Trend Forecasting Yihang Fu Mingyu Zhou Luyao Zhang AI4TS 21 6 0 01 May 2024
Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand Slawek Smyl Boris N. Oreshkin Paweł Pełka Grzegorz Dudek AI4TS 37 0 0 26 Apr 2024
Efficient Deterministic Renewable Energy Forecasting Guided by Multiple-Location Weather Data C. Symeonidis N. Nikolaidis 33 0 0 26 Apr 2024
Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models Muralikrishnan Gopalakrishnan Meena Demetri Liousas Andrew D. Simin Aditya Kashi Wesley Brewer James J. Riley S. D. B. Kops AI4TS AI4CE 46 1 0 24 Apr 2024
Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges Badri N. Patro Vijay Srinivas Agneeswaran Mamba 46 38 0 24 Apr 2024
Probabilistic forecasting of power system imbalance using neural network-based ensembles Jonas Van Gompel Bert Claessens Chris Develder 33 1 0 23 Apr 2024
Variational quantization for state space models Etienne David Jean Bellot Sylvain Le Corff AI4TS BDL 30 1 0 17 Apr 2024
Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves S. Sarkar Vineet Gundecha Sahand Ghorbanpour Alexander Shmakov Ashwin Ramesh Babu Avisek Naug Alexandre Frederic Julien Pichard Mathieu Cocho 43 8 0 17 Apr 2024
High Significant Fault Detection in Azure Core Workload Insights Pranay Lohia Laurent Boué Sharath Ranganath Vijay Srinivas Agneeswaran AI4CE 21 1 0 14 Apr 2024
Hierarchical Neural Additive Models for Interpretable Demand Forecasts Leif Feddersen Catherine Cleophas BDL AI4TS 21 1 0 05 Apr 2024
Localising the Seizure Onset Zone from Single-Pulse Electrical Stimulation Responses with a Transformer Jamie Norris Aswin Chari G. Cooray M. Tisdall Karl Friston Richard Rosch 19 0 0 29 Mar 2024
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection Ali Behrouz Michele Santacatterina Ramin Zabih 44 31 0 29 Mar 2024
The State of Lithium-Ion Battery Health Prognostics in the CPS Era Gaurav Shinde Rohan Mohapatra Pooja Krishan Harish Garg Srikanth Prabhu Sanchari Das Mohammad Masum Saptarshi Sengupta 32 1 0 28 Mar 2024
Chain-structured neural architecture search for financial time series forecasting Denis Levchenko Efstratios Rappos Shabnam Ataee Biagio Nigro Stephan Robert AI4TS AI4CE 45 1 0 15 Mar 2024
Leveraging Non-Decimated Wavelet Packet Features and Transformer Models for Time Series Forecasting G. P. Nason James L. Wei AI4TS 29 1 0 13 Mar 2024
tsGT: Stochastic Time Series Modeling With Transformer Lukasz Kuciñski Witold Drzewakowski Mateusz Olko Piotr Kozakowski Lukasz Maziarka Marta Emilia Nowakowska Lukasz Kaiser Piotr Milo's 49 1 0 08 Mar 2024
Edge-based Parametric Digital Twins for Intelligent Building Indoor Climate Modeling Zhongjun Ni Chi Zhang M. Karlsson Shaofang Gong AI4CE 28 0 0 07 Mar 2024
RATSF: Empowering Customer Service Volume Management through Retrieval-Augmented Time-Series Forecasting Tianfeng Wang Gaojie Cui AI4TS 44 0 0 07 Mar 2024
Conformal prediction for multi-dimensional time series by ellipsoidal sets Chen Xu Hanyang Jiang Yao Xie 35 20 0 06 Mar 2024
BasedAI: A decentralized P2P network for Zero Knowledge Large Language Models (ZK-LLMs) Sean Wellington 23 5 0 01 Mar 2024
Deep Coupling Network For Multivariate Time Series Forecasting Kun Yi Qi Zhang Hui He Kaize Shi Liang Hu Ning An ZhenDong Niu AI4TS 44 5 0 23 Feb 2024
Can Transformers Predict Vibrations? Fusataka Kuniyoshi Yoshihide Sawada 22 0 0 16 Feb 2024
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data Chin-Chia Michael Yeh Yujie Fan Xin Dai Uday Singh Saini Vivian Lai ... Huiyuan Chen Yan Zheng Zhongfang Zhuang Liang Wang Wei Zhang AI4TS 26 7 0 16 Feb 2024
Multimodal Interpretable Data-Driven Models for Early Prediction of Antimicrobial Multidrug Resistance Using Multivariate Time-Series Sergio Martínez-Aguero Antonio G. Marques Inmaculada Mora-Jiménez Joaquín Alvárez-Rodríguez Cristina Soguero-Ruiz 10 0 0 09 Feb 2024
Unified Training of Universal Time Series Forecasting Transformers Gerald Woo Chenghao Liu Akshat Kumar Caiming Xiong Silvio Savarese Doyen Sahoo AI4TS 117 165 0 04 Feb 2024
EBV: Electronic Bee-Veterinarian for Principled Mining and Forecasting of Honeybee Time Series Shamima Hossain Christos Faloutsos Boris Baer Hyoseung Kim V. Tsotras 24 2 0 02 Feb 2024
Probabilistic Demand Forecasting with Graph Neural Networks Nikita Kozodoi E. Zinovyeva Simon Valentin João Pereira Rodrigo Agundez AI4TS 11 0 0 23 Jan 2024
Linguistic-Based Mild Cognitive Impairment Detection Using Informative Loss A. P. Fard Mohammad H. Mahoor Muath Alsuhaibani Hiroko H. Dodge 16 4 0 23 Jan 2024
Interpretable Time Series Models for Wastewater Modeling in Combined Sewer Overflows Teodor Chiaburu Felix Bießmann AI4TS AI4CE 23 3 0 04 Jan 2024
TSPP: A Unified Benchmarking Tool for Time-series Forecasting Jan Bkaczek Dmytro Zhylko Gilberto Titericz Sajad Darabi Jean-François Puget Izzy Putterman Dawid Majchrowski Anmol Gupta Kyle Kranen Pawel Morkisz AI4TS 23 1 0 28 Dec 2023
Causal Forecasting for Pricing Douglas Schultz Johannes Stephan Julian Sieber Trudie Yeh Manuel Kunz Patrick Doupe Tim Januschowski 36 1 0 23 Dec 2023
Spatiotemporal-Linear: Towards Universal Multivariate Time Series Forecasting Aiyinsi Zuo Haixi Zhang Zirui Li Ce Zheng AI4TS 16 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 23 9 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 33 5 0 22 Dec 2023
AutoXPCR: Automated Multi-Objective Model Selection for Time Series Forecasting Raphael Fischer Amal Saadallah 24 0 0 20 Dec 2023
auto-sktime: Automated Time Series Forecasting Marc-André Zöller Marius Lindauer Marco F. Huber AI4TS 26 0 0 13 Dec 2023
Adaptive Dependency Learning Graph Neural Networks Abishek Sriramulu Nicolas Fourrier Christoph Bergmeir AI4TS AI4CE 32 21 0 06 Dec 2023