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
CityTFT: Temporal Fusion Transformer for Urban Building Energy Modeling Ting-Yu Dai Dev K. Niyogi Zoltan Nagy 8 2 0 04 Dec 2023
GIVT: Generative Infinite-Vocabulary Transformers Michael Tschannen Cian Eastwood Fabian Mentzer 23 34 0 04 Dec 2023
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers Maciej Besta Afonso Claudino Catarino Lukas Gianinazzi Nils Blach Piotr Nyczyk H. Niewiadomski Torsten Hoefler 35 6 0 30 Nov 2023
FocusLearn: Fully-Interpretable, High-Performance Modular Neural Networks for Time Series Qiqi Su Christos Kloukinas Artur dÁvila Garcez AI4TS 16 3 0 28 Nov 2023
One Fits All: Universal Time Series Analysis by Pretrained LM and Specially Designed Adaptors Tian Zhou Peisong Niu Xue Wang Liang Sun Rong Jin AI4TS 68 2 0 24 Nov 2023
Forecasting Cryptocurrency Prices Using Deep Learning: Integrating Financial, Blockchain, and Text Data Vincent Gurgul Stefan Lessmann Wolfgang Karl Härdle 19 5 0 23 Nov 2023
Deep State-Space Model for Predicting Cryptocurrency Price Shalini Sharma A. Majumdar Émilie Chouzenoux Victor Elvira 23 0 0 21 Nov 2023
Probabilistic Forecast Reconciliation with Kullback-Leibler Divergence Regularization Guanyu Zhang Feng Li Yanfei Kang AI4TS 14 0 0 21 Nov 2023
Large Pre-trained time series models for cross-domain Time series analysis tasks Harshavardhan Kamarthi B. A. Prakash VLM AI4TS 15 10 0 19 Nov 2023
Quantum Machine Learning for Remote Sensing: Exploring potential and challenges Mikolaj Czerkawski Lorenzo Papa B. L. Saux Irene Amerini 51 3 0 13 Nov 2023
Attention for Causal Relationship Discovery from Biological Neural Dynamics Ziyu Lu Anika Tabassum Shruti R. Kulkarni Lu Mi J. Nathan Kutz Eric Shea-Brown Seung-Hwan Lim CML 19 2 0 12 Nov 2023
Vital Sign Forecasting for Sepsis Patients in ICUs Anubhav Bhatti Yuwei Liu Chen Dan Bingjie Shen San Lee Yonghwan Kim Jang Yong Kim 15 4 0 08 Nov 2023
Deep Double Descent for Time Series Forecasting: Avoiding Undertrained Models Valentino Assandri Sam Heshmati Burhaneddin Yaman Anton Iakovlev Ariel Emiliano Repetur 45 0 0 02 Nov 2023
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data Santosh Palaskar Vijay Ekambaram Arindam Jati Neelamadhav Gantayat Avirup Saha ... P. Mohapatra Harshit Kumar Jayant Kalagnanam N. Hemachandra N. Rangaraj 23 4 0 31 Oct 2023
A Systematic Review for Transformer-based Long-term Series Forecasting Liyilei Su Xumin Zuo Rui Li Xin Wang Heng Zhao Bingding Huang AI4TS 34 4 0 31 Oct 2023
Transfer Learning in Transformer-Based Demand Forecasting For Home Energy Management System Gargya Gokhale Jonas Van Gompel Bert Claessens Chris Develder AI4TS 13 3 0 29 Oct 2023
Hierarchical Ensemble-Based Feature Selection for Time Series Forecasting Aysin Tumay M. Aydın Ali T. Koc Suleyman Serdar Kozat AI4TS 17 0 0 26 Oct 2023
Learning an Inventory Control Policy with General Inventory Arrival Dynamics Sohrab Andaz Carson Eisenach Dhruv Madeka Kari Torkkola Randy Jia Dean Phillips Foster Sham Kakade 25 2 0 26 Oct 2023
Hierarchical Forecasting at Scale O. Sprangers Wander S. Wadman Sebastian Schelter Maarten de Rijke AI4TS 11 2 0 19 Oct 2023
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies Kieran Wood Samuel Kessler Stephen J. Roberts S. Zohren AI4TS 25 2 0 16 Oct 2023
Forking Uncertainties: Reliable Prediction and Model Predictive Control with Sequence Models via Conformal Risk Control Matteo Zecchin Sangwoo Park Osvaldo Simeone 28 15 0 16 Oct 2023
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting Kashif Rasul Arjun Ashok Andrew Robert Williams Hena Ghonia Rishika Bhagwatkar ... Nicolas Chapados Alexandre Drouin Valentina Zantedeschi Yuriy Nevmyvaka Irina Rish AI4TS BDL 26 42 0 12 Oct 2023
Counterfactual Explanations for Time Series Forecasting Zhendong Wang Ioanna Miliou Isak Samsten P. Papapetrou BDL AI4TS OOD 32 4 0 12 Oct 2023
Deep Optimal Timing Strategies for Time Series Chen Pan Fan Zhou Xuanwei Hu Xinxin Zhu Wenxin Ning Zi Zhuang Siqiao Xue James Y. Zhang Yun Hu AI4TS 20 3 0 09 Oct 2023
Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain Gerald Woo Chenghao Liu Akshat Kumar Doyen Sahoo AI4TS AI4CE 33 12 0 08 Oct 2023
Waveformer for modelling dynamical systems N. Navaneeth Souvik Chakraborty 13 2 0 08 Oct 2023
TimeGPT-1 Azul Garza Cristian Challu Max Mergenthaler-Canseco AI4TS 30 97 0 05 Oct 2023
Perceiver-based CDF Modeling for Time Series Forecasting Cat P. Le Chris Cannella Ali Hasan Yuting Ng Vahid Tarokh AI4TS 23 1 0 03 Oct 2023
TranDRL: A Transformer-Driven Deep Reinforcement Learning Enabled Prescriptive Maintenance Framework Yang Zhao Jiaxi Yang Wenbo Wang Helin Yang Dusit Niyato AI4TS AI4CE 8 7 0 29 Sep 2023
Asset Bundling for Wind Power Forecasting Hanyu Zhang Mathieu Tanneau Chaofan Huang V. R. Joseph Shangkun Wang Pascal Van Hentenryck AI4TS 19 0 0 28 Sep 2023
A Primer on Bayesian Neural Networks: Review and Debates Federico Danieli Konstantinos Pitas M. Vladimirova Vincent Fortuin BDL AAML 56 18 0 28 Sep 2023
TFBEST: Dual-Aspect Transformer with Learnable Positional Encoding for Failure Prediction Rohan Mohapatra Saptarshi Sengupta 17 3 0 06 Sep 2023
Encoding Seasonal Climate Predictions for Demand Forecasting with Modular Neural Network S. Marvaniya Jitendra Singh Nicolas Galichet Fred Ochieng Otieno Geeth de Mel Kommy Weldemariam AI4TS 13 0 0 05 Sep 2023
Learning for Interval Prediction of Electricity Demand: A Cluster-based Bootstrapping Approach Rohit Dube Natarajan Gautam Amarnath Banerjee Harsha Nagarajan 11 0 0 04 Sep 2023
Learning-based NLOS Detection and Uncertainty Prediction of GNSS Observations with Transformer-Enhanced LSTM Network Haoming Zhang Zhanxin Wang Heike Vallery 12 7 0 01 Sep 2023
Forecasting Emergency Department Crowding with Advanced Machine Learning Models and Multivariable Input Jalmari Tuominen Eetu Pulkkinen Jaakko Peltonen J. Kanniainen N. Oksala A. Palomäki A. Roine 14 0 0 31 Aug 2023
Meta Attentive Graph Convolutional Recurrent Network for Traffic Forecasting Adnan Zeb Yongchao Ye Shiyao Zhang James J. Q. Yu AI4TS 26 0 0 28 Aug 2023
Business Metric-Aware Forecasting for Inventory Management Helen Zhou Sercan Ö. Arik Jingtao Wang AI4TS 21 4 0 24 Aug 2023
TrackFlow: Multi-Object Tracking with Normalizing Flows G. Mancusi Aniello Panariello Angelo Porrello Matteo Fabbri Simone Calderara Rita Cucchiara VOT 23 12 0 22 Aug 2023
ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN M. A. Bashar R. Nayak AI4TS 39 4 0 13 Aug 2023
AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting Oleksandr Shchur Caner Turkmen Nick Erickson Huibin Shen Alexander Shirkov Tony Hu Bernie Wang BDL AI4TS 23 24 0 10 Aug 2023
Exploring Different Time-series-Transformer (TST) Architectures: A Case Study in Battery Life Prediction for Electric Vehicles (EVs) Niranjan Sitapure Atharva Kulkarni AI4TS 18 5 0 07 Aug 2023
Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting Ferdian Jovan Catherine Morgan Ryan McConville E. Tonkin I. Craddock Alan Whone 23 2 0 03 Aug 2023
Novel Physics-Based Machine-Learning Models for Indoor Air Quality Approximations Ahmad Mohammadshirazi Aida Nadafian Amin Karimi Monsefi M. Rafiei R. Ramnath AI4CE 8 3 0 02 Aug 2023
A Transformer-based Prediction Method for Depth of Anesthesia During Target-controlled Infusion of Propofol and Remifentanil Yongkang He Siyuan Peng Mingjin Chen Zhi-Yi Yang Yuan-Wei Chen 18 4 0 02 Aug 2023
DeepTSF: Codeless machine learning operations for time series forecasting Sotiris Pelekis Evangelos Karakolis Theodosios Pountridis Georgios Kormpakis G. Lampropoulos S. Mouzakitis D. Askounis AI4TS AI4CE 16 11 0 28 Jul 2023
Improving Social Media Popularity Prediction with Multiple Post Dependencies Zhizhen Zhang Xiao-Zhu Xie Meng Yang Ye Tian Yong-jia Jiang Yong Cui 21 5 0 28 Jul 2023
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting Marcel Kollovieh Abdul Fatir Ansari Michael Bohlke-Schneider Jasper Zschiegner Hao Wang Yuyang Wang DiffM AI4TS 20 44 0 21 Jul 2023
Knowledge-infused Deep Learning Enables Interpretable Landslide Forecasting Zhengjing Ma Gang Mei AI4CE 13 0 0 18 Jul 2023
Sequential Monte Carlo Learning for Time Series Structure Discovery Feras A. Saad Brian Patton Matt Hoffman Rif A. Saurous Vikash K. Mansinghka AI4TS 19 9 0 13 Jul 2023