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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
Invariant Structure Learning for Better Generalization and Causal
  Explainability
Invariant Structure Learning for Better Generalization and Causal Explainability
Yunhao Ge
Sercan Ö. Arik
Jinsung Yoon
Ao Xu
Laurent Itti
Tomas Pfister
OOD
CML
26
2
0
13 Jun 2022
Interpretable Mixture of Experts
Interpretable Mixture of Experts
Aya Abdelsalam Ismail
Sercan Ö. Arik
Jinsung Yoon
Ankur Taly
S. Feizi
Tomas Pfister
MoE
20
10
0
05 Jun 2022
Why Did This Model Forecast This Future? Closed-Form Temporal Saliency
  Towards Causal Explanations of Probabilistic Forecasts
Why Did This Model Forecast This Future? Closed-Form Temporal Saliency Towards Causal Explanations of Probabilistic Forecasts
Chirag Raman
Hayley Hung
Marco Loog
16
3
0
01 Jun 2022
VQ-AR: Vector Quantized Autoregressive Probabilistic Time Series
  Forecasting
VQ-AR: Vector Quantized Autoregressive Probabilistic Time Series Forecasting
Kashif Rasul
Young-Jin Park
Max Nihlén Ramström
KyungHyun Kim
BDL
AI4TS
13
3
0
31 May 2022
Analytics of Business Time Series Using Machine Learning and Bayesian
  Inference
Analytics of Business Time Series Using Machine Learning and Bayesian Inference
B. Pavlyshenko
BDL
AI4TS
27
2
0
25 May 2022
UMSNet: An Universal Multi-sensor Network for Human Activity Recognition
UMSNet: An Universal Multi-sensor Network for Human Activity Recognition
Jialiang Wang
Hao Wei
Yi Wang
Shujia Yang
Chi Li
HAI
25
1
0
24 May 2022
Forecasting of Non-Stationary Sales Time Series Using Deep Learning
Forecasting of Non-Stationary Sales Time Series Using Deep Learning
B. Pavlyshenko
AI4TS
18
4
0
23 May 2022
Interpretable Feature Engineering for Time Series Predictors using
  Attention Networks
Interpretable Feature Engineering for Time Series Predictors using Attention Networks
Tian Wang
Jie Chen
J. Vaughan
V. Nair
AI4TS
21
0
0
23 May 2022
Instance-Based Uncertainty Estimation for Gradient-Boosted Regression
  Trees
Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees
Jonathan Brophy
Daniel Lowd
26
10
0
23 May 2022
Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of
  Social Media Posts
Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts
Felix Drinkall
S. Zohren
J. Pierrehumbert
17
5
0
20 May 2022
Multimodal Indoor Localisation for Measuring Mobility in Parkinson's
  Disease using Transformers
Multimodal Indoor Localisation for Measuring Mobility in Parkinson's Disease using Transformers
Ferdian Jovan
Ryan McConville
Catherine Morgan
E. Tonkin
Alan Whone
I. Craddock
11
1
0
12 May 2022
Efficient Automated Deep Learning for Time Series Forecasting
Efficient Automated Deep Learning for Time Series Forecasting
Difan Deng
Florian Karl
Frank Hutter
Bernd Bischl
Marius Lindauer
AI4TS
30
16
0
11 May 2022
Real-time Forecasting of Time Series in Financial Markets Using
  Sequentially Trained Many-to-one LSTMs
Real-time Forecasting of Time Series in Financial Markets Using Sequentially Trained Many-to-one LSTMs
Kelum Gajamannage
Yonggi Park
AI4TS
AIFin
11
4
0
10 May 2022
Transformers in Time-series Analysis: A Tutorial
Transformers in Time-series Analysis: A Tutorial
Sabeen Ahmed
Ian E. Nielsen
Aakash Tripathi
Shamoon Siddiqui
Ghulam Rasool
R. Ramachandran
AI4TS
31
142
0
28 Apr 2022
Approaching sales forecasting using recurrent neural networks and
  transformers
Approaching sales forecasting using recurrent neural networks and transformers
Iván Vallés-Pérez
E. Soria-Olivas
M. Martínez-Sober
Antonio J. Serrano
J. Gómez-Sanchís
Fernando Mateo
AI4TS
14
36
0
16 Apr 2022
TiSAT: Time Series Anomaly Transformer
TiSAT: Time Series Anomaly Transformer
Keval Doshi
Shatha Abudalou
Yasin Yılmaz
AI4TS
27
16
0
10 Mar 2022
A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid
  COVID-19
A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19
Ashkan Farhangi
Arthur Huang
Zhishan Guo
19
1
0
08 Mar 2022
Multivariate Time Series Forecasting with Latent Graph Inference
Multivariate Time Series Forecasting with Latent Graph Inference
Victor Garcia Satorras
Syama Sundar Rangapuram
Tim Januschowski
AI4TS
36
28
0
07 Mar 2022
Interpretable Latent Variables in Deep State Space Models
Interpretable Latent Variables in Deep State Space Models
Haoxuan Wu
David S. Matteson
M. Wells
BDL
AI4TS
18
0
0
03 Mar 2022
High-Modality Multimodal Transformer: Quantifying Modality & Interaction
  Heterogeneity for High-Modality Representation Learning
High-Modality Multimodal Transformer: Quantifying Modality & Interaction Heterogeneity for High-Modality Representation Learning
Paul Pu Liang
Yiwei Lyu
Xiang Fan
Jeffrey Tsaw
Yudong Liu
Shentong Mo
Dani Yogatama
Louis-Philippe Morency
Ruslan Salakhutdinov
17
29
0
02 Mar 2022
Robust Probabilistic Time Series Forecasting
Robust Probabilistic Time Series Forecasting
Taeho Yoon
Youngsuk Park
Ernest K. Ryu
Yuyang Wang
AAML
AI4TS
20
18
0
24 Feb 2022
Preformer: Predictive Transformer with Multi-Scale Segment-wise
  Correlations for Long-Term Time Series Forecasting
Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting
Dazhao Du
Bing-Huang Su
Zhewei Wei
AI4TS
13
43
0
23 Feb 2022
Multivariate Quantile Function Forecaster
Multivariate Quantile Function Forecaster
Kelvin K. Kan
Franccois-Xavier Aubet
Tim Januschowski
Youngsuk Park
Konstantinos Benidis
Lars Ruthotto
Jan Gasthaus
AI4TS
39
22
0
23 Feb 2022
Semi-Supervised Learning and Data Augmentation in Wearable-based
  Momentary Stress Detection in the Wild
Semi-Supervised Learning and Data Augmentation in Wearable-based Momentary Stress Detection in the Wild
Han Yu
Akane Sano
18
11
0
22 Feb 2022
Multi-Objective Model Selection for Time Series Forecasting
Multi-Objective Model Selection for Time Series Forecasting
Oliver Borchert
David Salinas
Valentin Flunkert
Tim Januschowski
Stephan Günnemann
AI4TS
16
9
0
17 Feb 2022
Robust Nonparametric Distribution Forecast with Backtest-based Bootstrap
  and Adaptive Residual Selection
Robust Nonparametric Distribution Forecast with Backtest-based Bootstrap and Adaptive Residual Selection
Longshaokan Wang
Lingda Wang
M. Georgieva
Paulo Machado
Abinaya Ulagappa
Safwan Ahmed
Yanxia Lu
Arjun Bakshi
F. Ghassemi
TTA
13
1
0
16 Feb 2022
A Neural Phillips Curve and a Deep Output Gap
A Neural Phillips Curve and a Deep Output Gap
Philippe Goulet Coulombe
25
11
0
08 Feb 2022
TACTiS: Transformer-Attentional Copulas for Time Series
TACTiS: Transformer-Attentional Copulas for Time Series
Alexandre Drouin
Étienne Marcotte
Nicolas Chapados
AI4TS
96
37
0
07 Feb 2022
HERMES: Hybrid Error-corrector Model with inclusion of External Signals
  for nonstationary fashion time series
HERMES: Hybrid Error-corrector Model with inclusion of External Signals for nonstationary fashion time series
Etienne David
Jean Bellot
Sylvain Le Corff
12
1
0
07 Feb 2022
Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary
  Time-Series
Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series
Sercan Ö. Arik
Nathanael Yoder
Tomas Pfister
TTA
AI4TS
11
20
0
04 Feb 2022
N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting
N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting
Cristian Challu
Kin G. Olivares
Boris N. Oreshkin
Federico Garza
Max Mergenthaler-Canseco
A. Dubrawski
AI4TS
29
261
0
30 Jan 2022
Fast Monte-Carlo Approximation of the Attention Mechanism
Fast Monte-Carlo Approximation of the Attention Mechanism
Hyunjun Kim
Jeonggil Ko
17
2
0
30 Jan 2022
Social Neuro AI: Social Interaction as the "dark matter" of AI
Social Neuro AI: Social Interaction as the "dark matter" of AI
Samuele Bolotta
G. Dumas
21
22
0
31 Dec 2021
Toward Explainable AI for Regression Models
Toward Explainable AI for Regression Models
S. Letzgus
Patrick Wagner
Jonas Lederer
Wojciech Samek
Klaus-Robert Muller
G. Montavon
XAI
28
63
0
21 Dec 2021
Earthquake Nowcasting with Deep Learning
Earthquake Nowcasting with Deep Learning
Geoffrey C. Fox
John B. Rundle
A. Donnellan
Bo Feng
AI4Cl
AI4CE
29
6
0
18 Dec 2021
A Statistics and Deep Learning Hybrid Method for Multivariate Time
  Series Forecasting and Mortality Modeling
A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling
Thabang Mathonsi
Terence L van Zyl
AI4TS
14
30
0
16 Dec 2021
Trading with the Momentum Transformer: An Intelligent and Interpretable
  Architecture
Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture
Kieran Wood
Sven Giegerich
Stephen J. Roberts
S. Zohren
AI4TS
AIFin
13
21
0
16 Dec 2021
Online Advertising Revenue Forecasting: An Interpretable Deep Learning
  Approach
Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach
Maximilian Würfel
Qiwei Han
Maximilian Kaiser
AI4TS
22
8
0
16 Nov 2021
Learning Quantile Functions without Quantile Crossing for
  Distribution-free Time Series Forecasting
Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting
Youngsuk Park
Danielle C. Maddix
Franccois-Xavier Aubet
Kelvin K. Kan
Jan Gasthaus
Yuyang Wang
UQCV
AI4TS
94
37
0
12 Nov 2021
Meta-Forecasting by combining Global Deep Representations with Local
  Adaptation
Meta-Forecasting by combining Global Deep Representations with Local Adaptation
Riccardo Grazzi
Valentin Flunkert
David Salinas
Tim Januschowski
Matthias Seeger
Cédric Archambeau
AI4TS
AI4CE
22
6
0
05 Nov 2021
Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts
Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts
Prathamesh Deshpande
Sunita Sarawagi
AI4TS
14
0
0
05 Nov 2021
Flight Demand Forecasting with Transformers
Flight Demand Forecasting with Transformers
Liya Wang
Amy L. Mykityshyn
Craig Johnson
Jillian Cheng
AI4TS
13
6
0
04 Nov 2021
Multi-Airport Delay Prediction with Transformers
Multi-Airport Delay Prediction with Transformers
Liya Wang
A. Tien
Jason Chou
9
7
0
04 Nov 2021
Merging Two Cultures: Deep and Statistical Learning
Merging Two Cultures: Deep and Statistical Learning
A. Bhadra
J. Datta
Nicholas G. Polson
Vadim O. Sokolov
Jianeng Xu
BDL
24
8
0
22 Oct 2021
Forecasting Market Prices using DL with Data Augmentation and
  Meta-learning: ARIMA still wins!
Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins!
Vedant Shah
Gautam M. Shroff
AI4TS
26
5
0
19 Oct 2021
Nonlinear proper orthogonal decomposition for convection-dominated flows
Nonlinear proper orthogonal decomposition for convection-dominated flows
Shady E. Ahmed
Omer San
Adil Rasheed
T. Iliescu
8
35
0
15 Oct 2021
Yformer: U-Net Inspired Transformer Architecture for Far Horizon Time
  Series Forecasting
Yformer: U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting
Kiran Madhusudhanan
Johannes Burchert
Nghia Duong-Trung
Stefan Born
Lars Schmidt-Thieme
AI4TS
AI4CE
41
21
0
13 Oct 2021
Development of Deep Transformer-Based Models for Long-Term Prediction of
  Transient Production of Oil Wells
Development of Deep Transformer-Based Models for Long-Term Prediction of Transient Production of Oil Wells
I. Abdrakhmanov
E. Kanin
S. Boronin
Evgeny Burnaev
A. Osiptsov
29
14
0
12 Oct 2021
Chaos as an interpretable benchmark for forecasting and data-driven
  modelling
Chaos as an interpretable benchmark for forecasting and data-driven modelling
W. Gilpin
AI4TS
19
73
0
11 Oct 2021
Darts: User-Friendly Modern Machine Learning for Time Series
Darts: User-Friendly Modern Machine Learning for Time Series
J. Herzen
Francesco Lässig
Samuele Giuliano Piazzetta
T. Neuer
Léo Tafti
...
Mounir Benheddi
Camila Williamson
Michal Kosinskihttps://www.semanticscholar.org/me/account
M. Petrik
Gaël Grosch
AI4TS
45
215
0
07 Oct 2021
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