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Temporal Fusion Transformers for Interpretable Multi-horizon Time Series
  Forecasting

Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting

19 December 2019
Bryan Lim
Sercan Ö. Arik
Nicolas Loeff
Tomas Pfister
    AI4TS
ArXivPDFHTML

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

50 / 389 papers shown
Title
ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical
  Information
ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information
Benedikt Heidrich
Kaleb Phipps
Oliver Neumann
Marian Turowski
Ralf Mikut
V. Hagenmeyer
AI4TS
BDL
16
2
0
06 Feb 2023
Creating Probabilistic Forecasts from Arbitrary Deterministic Forecasts
  using Conditional Invertible Neural Networks
Creating Probabilistic Forecasts from Arbitrary Deterministic Forecasts using Conditional Invertible Neural Networks
Kaleb Phipps
Benedikt Heidrich
Marian Turowski
Moritz Wittig
Ralf Mikut
V. Hagenmeyer
UQCV
16
1
0
03 Feb 2023
A novel automatic wind power prediction framework based on multi-time
  scale and temporal attention mechanisms
A novel automatic wind power prediction framework based on multi-time scale and temporal attention mechanisms
Meiyu Jiang
Jun Shen
Xuetao Jiang
Lihui Luo
R. Zhou
Qingguo Zhou
19
0
0
02 Feb 2023
Large-Scale Traffic Data Imputation with Spatiotemporal Semantic
  Understanding
Large-Scale Traffic Data Imputation with Spatiotemporal Semantic Understanding
Kunpeng Zhang
Lan Wu
Liang Zheng
Na Xie
Zhengbing He
AI4TS
21
1
0
27 Jan 2023
Multi-view Kernel PCA for Time series Forecasting
Multi-view Kernel PCA for Time series Forecasting
Arun Pandey
Hannes De Meulemeester
B. De Moor
Johan A. K. Suykens
AI4TS
28
5
0
24 Jan 2023
DANLIP: Deep Autoregressive Networks for Locally Interpretable
  Probabilistic Forecasting
DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting
Ozan Ozyegen
Juyoung Wang
Mucahit Cevik
BDL
AI4TS
6
1
0
05 Jan 2023
Infomaxformer: Maximum Entropy Transformer for Long Time-Series
  Forecasting Problem
Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting Problem
Peiwang Tang
Xianchao Zhang
AI4TS
26
3
0
04 Jan 2023
A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting
A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting
Syed Kazmi
Berk Görgülü
Mucahit Cevik
M. Baydogan
25
5
0
02 Jan 2023
Online learning techniques for prediction of temporal tabular datasets
  with regime changes
Online learning techniques for prediction of temporal tabular datasets with regime changes
Thomas Wong
Mauricio Barahona
OOD
AI4TS
35
1
0
30 Dec 2022
A Pattern Discovery Approach to Multivariate Time Series Forecasting
A Pattern Discovery Approach to Multivariate Time Series Forecasting
Yunyao Cheng
Chenjuan Guo
Kai Chen
Kai Zhao
B. Yang
Jiandong Xie
Christian S. Jensen
Feiteng Huang
Kai Zheng
AI4TS
23
1
0
20 Dec 2022
Denoising instrumented mouthguard measurements of head impact kinematics
  with a convolutional neural network
Denoising instrumented mouthguard measurements of head impact kinematics with a convolutional neural network
Xianghao Zhan
Yuzhe Liu
Nicholas J. Cecchi
Ashlyn A. Callan
Enora Le Flao
Olivier Gevaert
M. Zeineh
Gerald Grant
David B. Camarillo
14
4
0
19 Dec 2022
Leveraging Wastewater Monitoring for COVID-19 Forecasting in the US: a
  Deep Learning study
Leveraging Wastewater Monitoring for COVID-19 Forecasting in the US: a Deep Learning study
Mehrdad Fazli
Heman Shakeri
21
1
0
17 Dec 2022
Temporal Saliency Detection Towards Explainable Transformer-based
  Timeseries Forecasting
Temporal Saliency Detection Towards Explainable Transformer-based Timeseries Forecasting
Nghia Duong-Trung
Kiran Madhusudhanan
Danh Le-Phuoc
AI4TS
30
4
0
15 Dec 2022
Improving Accuracy Without Losing Interpretability: A ML Approach for
  Time Series Forecasting
Improving Accuracy Without Losing Interpretability: A ML Approach for Time Series Forecasting
Yiqi Sun
Zheng Shi
Jianshen Zhang
Yongzhi Qi
Hao Hu
Zuo-jun Shen
AI4TS
16
0
0
13 Dec 2022
Towards Better Long-range Time Series Forecasting using Generative
  Forecasting
Towards Better Long-range Time Series Forecasting using Generative Forecasting
Shiyu Liu
Rohan Ghosh
Mehul Motani
AI4TS
97
2
0
09 Dec 2022
GreenEyes: An Air Quality Evaluating Model based on WaveNet
GreenEyes: An Air Quality Evaluating Model based on WaveNet
Kan Huang
Kai Zhang
Ming-de Liu
17
2
0
08 Dec 2022
Sequential Predictive Conformal Inference for Time Series
Sequential Predictive Conformal Inference for Time Series
Chen Xu
Yao Xie
UQLM
AI4TS
31
32
0
07 Dec 2022
cs-net: structural approach to time-series forecasting for
  high-dimensional feature space data with limited observations
cs-net: structural approach to time-series forecasting for high-dimensional feature space data with limited observations
Weiyu Zong
Mingqian Feng
Griffin Heyrich
Peter Chin
BDL
AI4TS
14
0
0
05 Dec 2022
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics
Andreas Döpp
C. Eberle
S. Howard
F. Irshad
Jinpu Lin
M. Streeter
AI4CE
29
63
0
30 Nov 2022
Federated Learning for 5G Base Station Traffic Forecasting
Federated Learning for 5G Base Station Traffic Forecasting
V. Perifanis
Nikolaos Pavlidis
R. Koutsiamanis
P. Efraimidis
AI4TS
36
41
0
28 Nov 2022
A Transformer Framework for Data Fusion and Multi-Task Learning in Smart
  Cities
A Transformer Framework for Data Fusion and Multi-Task Learning in Smart Cities
Alexander C. DeRieux
Walid Saad
W. Zuo
R. Budiarto
M. D. Koerniawan
D. Novitasari
20
1
0
18 Nov 2022
HigeNet: A Highly Efficient Modeling for Long Sequence Time Series
  Prediction in AIOps
HigeNet: A Highly Efficient Modeling for Long Sequence Time Series Prediction in AIOps
Jiajia Li
Feng Tan
Cheng He
Zikai Wang
Haitao Song
Lingfei Wu
Pengwei Hu
18
0
0
13 Nov 2022
A Comprehensive Survey of Regression Based Loss Functions for Time
  Series Forecasting
A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting
Aryan Jadon
Avinash Patil
Shruti Jadon
AI4TS
AI4CE
14
60
0
05 Nov 2022
Deep learning for structural health monitoring: An application to
  heritage structures
Deep learning for structural health monitoring: An application to heritage structures
F. Carrara
Fabrizio Falchi
M. Girardi
Nicola Messina
C. Padovani
D. Pellegrini
16
2
0
04 Nov 2022
Deep Temporal Modelling of Clinical Depression through Social Media Text
Deep Temporal Modelling of Clinical Depression through Social Media Text
Nawshad Farruque
Randy Goebel
Sudhakar Sivapalan
Osmar R. Zaïane
20
4
0
28 Oct 2022
A Long-term Dependent and Trustworthy Approach to Reactor Accident
  Prognosis based on Temporal Fusion Transformer
A Long-term Dependent and Trustworthy Approach to Reactor Accident Prognosis based on Temporal Fusion Transformer
Chengyuan Li
Z. Qiu
Yugao Ma
Mei-Jiu Li
13
1
0
28 Oct 2022
On Trustworthy Decision-Making Process of Human Drivers from the View of
  Perceptual Uncertainty Reduction
On Trustworthy Decision-Making Process of Human Drivers from the View of Perceptual Uncertainty Reduction
Huanjie Wang
Haibin Liu
Wenshuo Wang
Lijun Sun
20
3
0
15 Oct 2022
Deep Regression Unlearning
Deep Regression Unlearning
Ayush K Tarun
Vikram S Chundawat
Murari Mandal
Mohan S. Kankanhalli
BDL
MU
24
31
0
15 Oct 2022
Self-explaining Hierarchical Model for Intraoperative Time Series
Self-explaining Hierarchical Model for Intraoperative Time Series
Dingwen Li
Bing Xue
C. King
Bradley A. Fritz
M. Avidan
Joanna Abraham
Chenyang Lu
AI4CE
14
3
0
10 Oct 2022
Interpreting County Level COVID-19 Infection and Feature Sensitivity
  using Deep Learning Time Series Models
Interpreting County Level COVID-19 Infection and Feature Sensitivity using Deep Learning Time Series Models
Md. Khairul Islam
Di Zhu
Yingzheng Liu
Andrej Erkelens
Nick Daniello
Judy Fox
25
1
0
06 Oct 2022
A case study of spatiotemporal forecasting techniques for weather
  forecasting
A case study of spatiotemporal forecasting techniques for weather forecasting
Shakir Showkat Sofi
Ivan V. Oseledets
22
4
0
29 Sep 2022
Masked Multi-Step Multivariate Time Series Forecasting with Future
  Information
Masked Multi-Step Multivariate Time Series Forecasting with Future Information
Yiwei Fu
Honggang Wang
Nurali Virani
AI4TS
19
2
0
28 Sep 2022
Towards Automatic Forecasting: Evaluation of Time-Series Forecasting
  Models for Chickenpox Cases Estimation in Hungary
Towards Automatic Forecasting: Evaluation of Time-Series Forecasting Models for Chickenpox Cases Estimation in Hungary
Wadie Skaf
Arzu Tosayeva
Dániel Várkonyi
AI4TS
18
2
0
28 Sep 2022
Just-In-Time Learning for Operational Risk Assessment in Power Grids
Just-In-Time Learning for Operational Risk Assessment in Power Grids
Oliver Stover
Pranav M. Karve
S. Mahadevan
Wenbo Chen
Haoruo Zhao
Mathieu Tanneau
Pascal Van Hentenryck
21
3
0
26 Sep 2022
A Robust and Explainable Data-Driven Anomaly Detection Approach For
  Power Electronics
A Robust and Explainable Data-Driven Anomaly Detection Approach For Power Electronics
Alexander Beattie
Pavol Mulinka
Subham S. Sahoo
I. Christou
Charalampos Kalalas
Daniel Gutierrez-Rojas
P. H. Nardelli
23
5
0
23 Sep 2022
Gluformer: Transformer-Based Personalized Glucose Forecasting with
  Uncertainty Quantification
Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification
Renat Sergazinov
Mohammadreza Armandpour
I. Gaynanova
BDL
AI4TS
MedIm
33
11
0
09 Sep 2022
Foundations and Trends in Multimodal Machine Learning: Principles,
  Challenges, and Open Questions
Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions
Paul Pu Liang
Amir Zadeh
Louis-Philippe Morency
16
60
0
07 Sep 2022
Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel
  Transformer Architectures
Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer Architectures
Lars Odegaard Bentsen
N. Warakagoda
R. Stenbro
P. Engelstad
AI4TS
21
98
0
29 Aug 2022
AA-Forecast: Anomaly-Aware Forecast for Extreme Events
AA-Forecast: Anomaly-Aware Forecast for Extreme Events
Ashkan Farhangi
Jiang Bian
Arthur Huang
Haoyi Xiong
Jun Wang
Zhi-guo Guo
AI4TS
23
4
0
21 Aug 2022
Expressing Multivariate Time Series as Graphs with Time Series Attention
  Transformer
Expressing Multivariate Time Series as Graphs with Time Series Attention Transformer
W. Ng
K. Siu
Albert C. Cheung
Michael K. Ng
AI4TS
16
7
0
19 Aug 2022
The Counterfactual-Shapley Value: Attributing Change in System Metrics
The Counterfactual-Shapley Value: Attributing Change in System Metrics
Amit Sharma
Hua Li
Jian Jiao
26
2
0
17 Aug 2022
New drugs and stock market: how to predict pharma market reaction to
  clinical trial announcements
New drugs and stock market: how to predict pharma market reaction to clinical trial announcements
S. Budennyy
Alexey Kazakov
Elizaveta Kovtun
L. Zhukov
AIFin
12
1
0
11 Aug 2022
Mining Reaction and Diffusion Dynamics in Social Activities
Mining Reaction and Diffusion Dynamics in Social Activities
Taichi Murayama
Yasuko Matsubara
Yasushi Sakurai
17
1
0
07 Aug 2022
Modeling Price Elasticity for Occupancy Prediction in Hotel Dynamic
  Pricing
Modeling Price Elasticity for Occupancy Prediction in Hotel Dynamic Pricing
Fanwei Zhu
Wendong Xiao
Yao Yu
Ziyi Wang
Zulong Chen
Quan Lu
Zemin Liu
Ming-hui Wu
Shenghua Ni
17
3
0
04 Aug 2022
Respecting Time Series Properties Makes Deep Time Series Forecasting
  Perfect
Respecting Time Series Properties Makes Deep Time Series Forecasting Perfect
Li Shen
Yuning Wei
Yangzhu Wang
AI4TS
16
8
0
22 Jul 2022
MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval
  Augmentation
MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval Augmentation
Sitan Yang
Carson Eisenach
Dhruv Madeka
AI4TS
22
7
0
21 Jul 2022
Deep Transformer Model with Pre-Layer Normalization for COVID-19 Growth
  Prediction
Deep Transformer Model with Pre-Layer Normalization for COVID-19 Growth Prediction
Rizki Ramadhan Fitra
N. Yudistira
W. Mahmudy
19
1
0
10 Jul 2022
A Temporal Fusion Transformer for Long-term Explainable Prediction of
  Emergency Department Overcrowding
A Temporal Fusion Transformer for Long-term Explainable Prediction of Emergency Department Overcrowding
Francisco M. Caldas
Cláudia Soares
8
6
0
01 Jul 2022
TreeDRNet:A Robust Deep Model for Long Term Time Series Forecasting
TreeDRNet:A Robust Deep Model for Long Term Time Series Forecasting
Tian Zhou
Jianqing Zhu
Xue Wang
Ziqing Ma
Qingsong Wen
Liang Sun
Rong Jin
AI4TS
38
4
0
24 Jun 2022
Predicting Hate Intensity of Twitter Conversation Threads
Predicting Hate Intensity of Twitter Conversation Threads
Qing Meng
Tharun Suresh
Roy Ka-Wei Lee
Tanmoy Chakraborty
19
19
0
16 Jun 2022
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