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
GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series Forecasting Sitan Yang Malcolm Wolff S. Ramasubramanian Vincent Quenneville-Belair Ronak Metha Michael W. Mahoney AI4TS AI4CE 21 1 0 07 Jul 2023
Multimodal Temporal Fusion Transformers Are Good Product Demand Forecasters M. Sukel S. Rudinac M. Worring AI4TS 28 1 0 05 Jul 2023
LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark Study Matteo Prata Giuseppe Masi Leonardo Berti Viviana Arrigoni Andrea Coletta Irene Cannistraci Svitlana Vyetrenko Paola Velardi N. Bartolini 19 8 0 05 Jul 2023
Population Age Group Sensitivity for COVID-19 Infections with Deep Learning Md. Khairul Islam Tyler W. Valentine Roy X Wang Levi Davis Matt Manner Judy Fox 12 2 0 03 Jul 2023
Improving the Transferability of Time Series Forecasting with Decomposition Adaptation Yan-hong Gao Yan Wang Qiang Wang AI4TS 20 0 0 30 Jun 2023
A Machine Learning Pressure Emulator for Hydrogen Embrittlement Minh Triet Chau J. L. S. Almeida Elie Alhajjar A. C. N. Junior AI4CE 11 0 0 22 Jun 2023
Comparing Deep Learning Models for the Task of Volatility Prediction Using Multivariate Data Wenbo Ge Pooia Lalbakhsh Leigh Isai Artem Lenskiy Hanna Suominen OOD 15 3 0 20 Jun 2023
Deep Learning for Energy Time-Series Analysis and Forecasting Maria Tzelepi C. Symeonidis Paraskevi Nousi Efstratios Kakaletsis Theodoros Manousis Pavlos Tosidis N. Nikolaidis Anastasios Tefas AI4TS 13 3 0 15 Jun 2023
GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series Forecasting Yanjun Zhao Ziqing Ma Tian Zhou Liang Sun M. Ye Yi Qian AI4TS 30 19 0 14 Jun 2023
Feature Programming for Multivariate Time Series Prediction Alex Reneau Jerry Yao-Chieh Hu Chenwei Xu Weijian Li Ammar Gilani Han Liu AI4TS 28 9 0 09 Jun 2023
Self-Interpretable Time Series Prediction with Counterfactual Explanations Jingquan Yan Hao Wang BDL AI4TS 18 13 0 09 Jun 2023
QBSD: Quartile-Based Seasonality Decomposition for Cost-Effective Time Series Forecasting Ebenezer R. H. P. Isaac Bulbul Singh AI4TS 20 0 0 09 Jun 2023
Non-parametric Probabilistic Time Series Forecasting via Innovations Representation Xinyi Wang Mei-Yu Lee Qing Zhao Lang Tong AI4TS 20 2 0 05 Jun 2023
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency Owen Queen Thomas Hartvigsen Teddy Koker Huan He Theodoros Tsiligkaridis Marinka Zitnik AI4TS 37 17 0 03 Jun 2023
One for All: Unified Workload Prediction for Dynamic Multi-tenant Edge Cloud Platforms Shaoyuan Huang Zheng Wang Hengda Zhang Xiaofei Wang Chen Zhang Wenyu Wang AI4TS 14 10 0 02 Jun 2023
Meta-Regression Analysis of Errors in Short-Term Electricity Load Forecasting K. Hopf Hannah Hartstang Thorsten Staake AI4TS 20 5 0 29 May 2023
Attention Schema in Neural Agents Dianbo Liu Samuele Bolotta He Zhu Yoshua Bengio G. Dumas 23 5 0 27 May 2023
Stecformer: Spatio-temporal Encoding Cascaded Transformer for Multivariate Long-term Time Series Forecasting Zheng Sun Yi Wei Wenxiao Jia Long Yu AI4TS 18 0 0 25 May 2023
Feature-aligned N-BEATS with Sinkhorn divergence Joon-Young Lee Myeongho Jeon Myung-joo Kang Kyung-soon Park AI4TS 22 0 0 24 May 2023
Interpretation of Time-Series Deep Models: A Survey Ziqi Zhao Yucheng Shi Shushan Wu Fan Yang Wenzhan Song Ninghao Liu AI4TS 34 6 0 23 May 2023
Deep Learning based Forecasting: a case study from the online fashion industry Manuel Kunz Stefan Birr Mones Raslan L. Ma Zhuguo Li ... Armin Kekić Michael Narodovitch Kashif Rasul Julian Sieber Tim Januschowski 33 15 0 23 May 2023
A Deeper (Autoregressive) Approach to Non-Convergent Discourse Parsing Yoav Tulpan Oren Tsur 30 0 0 21 May 2023
Temporal Fusion Transformers for Streamflow Prediction: Value of Combining Attention with Recurrence Sinan Rasiya Koya Tirthankar Roy AI4TS 14 24 0 21 May 2023
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting Xue Wang Tian Zhou Qingsong Wen Jinyang Gao Bolin Ding Rong Jin AI4TS 18 38 0 20 May 2023
Short-Term Electricity Load Forecasting Using the Temporal Fusion Transformer: Effect of Grid Hierarchies and Data Sources Elena Giacomazzi Felix Haag K. Hopf 16 26 0 17 May 2023
pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting Yunyi Zhou Zhixuan Chu Yijia Ruan Ge Jin Yuchen Huang Sheng R. Li AI4TS 21 10 0 16 May 2023
Hierarchically Coherent Multivariate Mixture Networks Kin G. Olivares Dave Luo Cristian Challu Stefania La Vattiata Max Mergenthaler-Canseco A. Dubrawski BDL AI4TS 26 0 0 11 May 2023
Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting Jimeng Shi Rukmangadh Myana Vitalii Stebliankin Azam Shirali Giri Narasimhan AI4TS 22 6 0 08 May 2023
Leveraging Deep Learning and Digital Twins to Improve Energy Performance of Buildings Zhongjun Ni Chi Zhang M. Karlsson Shaofang Gong AI4CE 11 6 0 08 May 2023
A Neural Network Transformer Model for Composite Microstructure Homogenization Emil Pitz K. Pochiraju AI4CE 9 10 0 16 Apr 2023
Online Spatio-Temporal Learning with Target Projection Thomas Ortner Lorenzo Pes Joris Gentinetta Charlotte Frenkel A. Pantazi 20 7 0 11 Apr 2023
OFTER: An Online Pipeline for Time Series Forecasting N. Michael Mihai Cucuringu S. Howison AI4TS 14 2 0 08 Apr 2023
TransCODE: Co-design of Transformers and Accelerators for Efficient Training and Inference Shikhar Tuli N. Jha 30 5 0 27 Mar 2023
Feature Engineering Methods on Multivariate Time-Series Data for Financial Data Science Competitions Thomas Wong Mauricio Barahona 21 0 0 26 Mar 2023
The Battle of Information Representations: Comparing Sentiment and Semantic Features for Forecasting Market Trends A.S. Zaichenko A. Kazakov Elizaveta Kovtun S. Budennyy AIFin 19 1 0 24 Mar 2023
How Does Attention Work in Vision Transformers? A Visual Analytics Attempt Yiran Li Junpeng Wang Xin Dai Liang Wang Chin-Chia Michael Yeh Yan Zheng Wei Zhang Kwan-Liu Ma ViT 20 23 0 24 Mar 2023
MSTFormer: Motion Inspired Spatial-temporal Transformer with Dynamic-aware Attention for long-term Vessel Trajectory Prediction Huimin Qiang Zhiyuan Guo Shiyuan Xie Xiaodong Peng 19 1 0 21 Mar 2023
Deep incremental learning models for financial temporal tabular datasets with distribution shifts Thomas Wong Mauricio Barahona OOD AIFin AI4TS 18 0 0 14 Mar 2023
TSMixer: An All-MLP Architecture for Time Series Forecasting Si-An Chen Chun-Liang Li Nate Yoder Sercan Ö. Arik Tomas Pfister AI4TS 28 155 0 10 Mar 2023
Adaptive Interventions for Global Health: A Case Study of Malaria África Periánez A. Trister Madhav Nekkar Ana Fernández del Río P. Alonso 22 1 0 03 Mar 2023
GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation Song Yang Jiamou Liu Kaiqi Zhao AI4TS 15 134 0 03 Mar 2023
Interpretable Water Level Forecaster with Spatiotemporal Causal Attention Mechanisms Sunghcul Hong Yunjin Choi Jongkoo Jeon AI4TS 12 0 0 28 Feb 2023
An algorithmic framework for the optimization of deep neural networks architectures and hyperparameters Julie Keisler El-Ghazali Talbi Sandra Claudel Gilles Cabriel 20 6 0 27 Feb 2023
A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers Sotiris Pelekis Ioannis-Konstantinos Seisopoulos Evangelos Spiliotis Theodosios Pountridis Evangelos Karakolis S. Mouzakitis D. Askounis 21 15 0 23 Feb 2023
One Fits All:Power General Time Series Analysis by Pretrained LM Tian Zhou Peisong Niu Xue Wang Liang Sun Rong Jin AI4TS 28 380 0 23 Feb 2023
Adaptive Sampling for Probabilistic Forecasting under Distribution Shift Luca Masserano Syama Sundar Rangapuram Shubham Kapoor Rajbir-Singh Nirwan Youngsuk Park Michael Bohlke-Schneider TTA AI4TS 28 2 0 23 Feb 2023
The DeepCAR Method: Forecasting Time-Series Data That Have Change Points Ayla Jungbluth Johannes Lederer BDL 3DPC AI4TS 18 2 0 22 Feb 2023
Masked Multi-Step Probabilistic Forecasting for Short-to-Mid-Term Electricity Demand Yiwei Fu Nurali Virani Honggang Wang AI4TS 16 4 0 14 Feb 2023
Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape Fynn Oldenburg Qiwei Han Maximilian Kaiser 20 1 0 11 Feb 2023
Predicting the performance of hybrid ventilation in buildings using a multivariate attention-based biLSTM Encoder-Decoder neural network Gaurav Chaudhary H. Johra L. Georges Bjørn Austbø AI4CE 20 1 0 08 Feb 2023