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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"

39 / 389 papers shown
Title
Long-Range Transformers for Dynamic Spatiotemporal Forecasting
Long-Range Transformers for Dynamic Spatiotemporal Forecasting
J. E. Grigsby
Zhe Wang
Nam Nguyen
Yanjun Qi
AI4TS
69
87
0
24 Sep 2021
Interpretability in Safety-Critical FinancialTrading Systems
Interpretability in Safety-Critical FinancialTrading Systems
Gabriel Deza
Adelin Travers
C. Rowat
Nicolas Papernot
AAML
AIFin
13
1
0
24 Sep 2021
TCCT: Tightly-Coupled Convolutional Transformer on Time Series
  Forecasting
TCCT: Tightly-Coupled Convolutional Transformer on Time Series Forecasting
Li Shen
Yangzhu Wang
AI4TS
32
92
0
29 Aug 2021
Reconstructing a dynamical system and forecasting time series by
  self-consistent deep learning
Reconstructing a dynamical system and forecasting time series by self-consistent deep learning
Zhe Wang
C. Guet
AI4TS
11
4
0
04 Aug 2021
PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series
PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series
Paul Jeha
Michael Bohlke-Schneider
Pedro Mercado
Shubham Kapoor
Rajbir-Singh Nirwan
Valentin Flunkert
Jan Gasthaus
Tim Januschowski
AI4TS
25
45
0
02 Aug 2021
Tsformer: Time series Transformer for tourism demand forecasting
Tsformer: Time series Transformer for tourism demand forecasting
Siyuan Yi
Xing Chen
Chuanming Tang
AI4TS
9
2
0
22 Jul 2021
Modality Fusion Network and Personalized Attention in Momentary Stress
  Detection in the Wild
Modality Fusion Network and Personalized Attention in Momentary Stress Detection in the Wild
Han Yu
T. Vaessen
I. Myin‐Germeys
Akane Sano
23
13
0
19 Jul 2021
Extreme Precipitation Seasonal Forecast Using a Transformer Neural
  Network
Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network
Daniel Salles Civitarese
Daniela Szwarcman
Bianca Zadrozny
C. Watson
16
17
0
14 Jul 2021
Single Model for Influenza Forecasting of Multiple Countries by
  Multi-task Learning
Single Model for Influenza Forecasting of Multiple Countries by Multi-task Learning
Taichi Murayama
Shoko Wakamiya
Eiji Aramaki
AI4TS
11
0
0
05 Jul 2021
Dynamic Customer Embeddings for Financial Service Applications
Dynamic Customer Embeddings for Financial Service Applications
Nima Chitsazan
Samuel Sharpe
Dwipam Katariya
Qi-Jun Cheng
Karthik Rajasethupathy
14
2
0
22 Jun 2021
SCINet: Time Series Modeling and Forecasting with Sample Convolution and
  Interaction
SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction
Minhao Liu
Ailing Zeng
Mu-Hwa Chen
Zhijian Xu
Qiuxia Lai
Lingna Ma
Qiang Xu
AI4TS
16
340
0
17 Jun 2021
Controlling Neural Networks with Rule Representations
Controlling Neural Networks with Rule Representations
Sungyong Seo
Sercan Ö. Arik
Jinsung Yoon
Xiang Zhang
Kihyuk Sohn
Tomas Pfister
OOD
AI4CE
32
35
0
14 Jun 2021
DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time
  Series Forecasting
DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting
Cristian Challu
Kin G. Olivares
Gus Welter
A. Dubrawski
AI4TS
13
1
0
07 Jun 2021
Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic
  Regression
Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression
O. Sprangers
Sebastian Schelter
Maarten de Rijke
AI4CE
17
38
0
03 Jun 2021
PSEUDo: Interactive Pattern Search in Multivariate Time Series with
  Locality-Sensitive Hashing and Relevance Feedback
PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback
Yuncong Yu
Dylan Kruyff
Tim Becker
M. Behrisch
AI4TS
25
13
0
30 Apr 2021
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey
Thomas Rojat
Raphael Puget
David Filliat
Javier Del Ser
R. Gelin
Natalia Díaz Rodríguez
XAI
AI4TS
41
127
0
02 Apr 2021
Model Selection for Time Series Forecasting: Empirical Analysis of
  Different Estimators
Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators
Vítor Cerqueira
Luís Torgo
Carlos Soares
AI4TS
15
6
0
01 Apr 2021
Hierarchical forecasting with a top-down alignment of independent level
  forecasts
Hierarchical forecasting with a top-down alignment of independent level forecasts
Matthias Anderer
Feng Li
AI4TS
14
13
0
15 Mar 2021
GANav: Efficient Terrain Segmentation for Robot Navigation in
  Unstructured Outdoor Environments
GANav: Efficient Terrain Segmentation for Robot Navigation in Unstructured Outdoor Environments
Tianrui Guan
D. Kothandaraman
Rohan Chandra
A. Sathyamoorthy
K. Weerakoon
Tianyi Zhou
25
103
0
07 Mar 2021
Improving Neural Networks for Time Series Forecasting using Data
  Augmentation and AutoML
Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoML
Indrajeet Javeri
Mohammadhossein Toutiaee
I. Arpinar
Tom W. Miller
John A. Miller
AI4TS
19
16
0
02 Mar 2021
Domain Adaptation for Time Series Forecasting via Attention Sharing
Domain Adaptation for Time Series Forecasting via Attention Sharing
Xiaoyong Jin
Youngsuk Park
Danielle C. Maddix
Bernie Wang
Xifeng Yan
TTA
OOD
AI4TS
104
75
0
13 Feb 2021
Feature Selection for Multivariate Time Series via Network Pruning
Feature Selection for Multivariate Time Series via Network Pruning
Kang Gu
Soroush Vosoughi
T. Prioleau
AI4TS
22
5
0
11 Feb 2021
Multi-Task Time Series Forecasting With Shared Attention
Multi-Task Time Series Forecasting With Shared Attention
Zekai Chen
Jiaze E
Xiao Zhang
Hao Sheng
Xiuzhen Cheng
AI4TS
38
18
0
24 Jan 2021
Do We Really Need Deep Learning Models for Time Series Forecasting?
Do We Really Need Deep Learning Models for Time Series Forecasting?
Shereen Elsayed
Daniela Thyssens
Ahmed Rashed
H. Jomaa
Lars Schmidt-Thieme
AI4TS
16
105
0
06 Jan 2021
Series Saliency: Temporal Interpretation for Multivariate Time Series
  Forecasting
Series Saliency: Temporal Interpretation for Multivariate Time Series Forecasting
Qingyi Pan
Wenbo Hu
Jun Zhu
FAtt
AI4TS
23
7
0
16 Dec 2020
EWareNet: Emotion Aware Human Intent Prediction and Adaptive Spatial
  Profile Fusion for Social Robot Navigation
EWareNet: Emotion Aware Human Intent Prediction and Adaptive Spatial Profile Fusion for Social Robot Navigation
V. Narayanan
Bala Murali Manoghar
Rama Prashanth RV
Aniket Bera
23
11
0
18 Nov 2020
Deep Learning for Flight Demand Forecasting
Deep Learning for Flight Demand Forecasting
Liya Wang
Amy L. Mykityshyn
Craig Johnson
Benjamin D. Marple
AI4TS
16
4
0
06 Nov 2020
Inter-Series Attention Model for COVID-19 Forecasting
Inter-Series Attention Model for COVID-19 Forecasting
Xiaoyong Jin
Yu-Xiang Wang
Xifeng Yan
AI4TS
16
36
0
25 Oct 2020
A Transformer-based Framework for Multivariate Time Series
  Representation Learning
A Transformer-based Framework for Multivariate Time Series Representation Learning
George Zerveas
Srideepika Jayaraman
Dhaval Patel
A. Bhamidipaty
Carsten Eickhoff
AI4TS
19
889
0
06 Oct 2020
MQTransformer: Multi-Horizon Forecasts with Context Dependent and
  Feedback-Aware Attention
MQTransformer: Multi-Horizon Forecasts with Context Dependent and Feedback-Aware Attention
Carson Eisenach
Yagna Patel
Dhruv Madeka
AI4TS
16
36
0
30 Sep 2020
Evaluation of Local Explanation Methods for Multivariate Time Series
  Forecasting
Evaluation of Local Explanation Methods for Multivariate Time Series Forecasting
Ozan Ozyegen
Igor Ilic
Mucahit Cevik
FAtt
AI4TS
8
2
0
18 Sep 2020
Demand Forecasting of Individual Probability Density Functions with
  Machine Learning
Demand Forecasting of Individual Probability Density Functions with Machine Learning
Felix Wick
U. Kerzel
Martin Hahn
Moritz Wolf
Trapti Singhal
Daniel Stemmer
Jakob Ernst
M. Feindt
OOD
AI4TS
11
4
0
15 Sep 2020
Interpretable Sequence Learning for COVID-19 Forecasting
Interpretable Sequence Learning for COVID-19 Forecasting
Sercan Ö. Arik
Chun-Liang Li
Jinsung Yoon
Rajarishi Sinha
Arkady Epshteyn
...
Martin Nikoltchev
Yash Sonthalia
Hootan Nakhost
Elli Kanal
Tomas Pfister
AI4TS
20
83
0
03 Aug 2020
Superiority of Simplicity: A Lightweight Model for Network Device
  Workload Prediction
Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction
Alexander Acker
Thorsten Wittkopp
S. Nedelkoski
Jasmin Bogatinovski
O. Kao
6
3
0
07 Jul 2020
I-BERT: Inductive Generalization of Transformer to Arbitrary Context
  Lengths
I-BERT: Inductive Generalization of Transformer to Arbitrary Context Lengths
Hyoungwook Nam
S. Seo
Vikram Sharma Malithody
Noor Michael
Lang Li
21
1
0
18 Jun 2020
The Effectiveness of Discretization in Forecasting: An Empirical Study
  on Neural Time Series Models
The Effectiveness of Discretization in Forecasting: An Empirical Study on Neural Time Series Models
Stephan Rabanser
Tim Januschowski
Valentin Flunkert
David Salinas
Jan Gasthaus
BDL
AI4TS
14
20
0
20 May 2020
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory
  Prediction
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
Cunjun Yu
Xiao Ma
Jiawei Ren
Haiyu Zhao
Shuai Yi
26
459
0
18 May 2020
Time Series Forecasting With Deep Learning: A Survey
Time Series Forecasting With Deep Learning: A Survey
Bryan Lim
S. Zohren
AI4TS
AI4CE
54
1,186
0
28 Apr 2020
Deep Learning for Time Series Forecasting: Tutorial and Literature
  Survey
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
Konstantinos Benidis
Syama Sundar Rangapuram
Valentin Flunkert
Bernie Wang
Danielle C. Maddix
...
David Salinas
Lorenzo Stella
François-Xavier Aubet
Laurent Callot
Tim Januschowski
AI4TS
25
176
0
21 Apr 2020
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