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1907.00235
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Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
29 June 2019
Shiyang Li
Xiaoyong Jin
Yao Xuan
Xiyou Zhou
Wenhu Chen
Yu Wang
Xifeng Yan
AI4TS
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Papers citing
"Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting"
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Learnable Dynamic Temporal Pooling for Time Series Classification
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DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation
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Garrett A. Warnell
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Causal Hidden Markov Model for Time Series Disease Forecasting
Jing Li
Botong Wu
Xinwei Sun
Yizhou Wang
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30 Mar 2021
Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting
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Jiandong Xie
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53
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A Practical Survey on Faster and Lighter Transformers
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Daniel Aloise
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Gated Transformer Networks for Multivariate Time Series Classification
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Shengqi Ren
Siyuan Ma
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70
137
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Random Feature Attention
Hao Peng
Nikolaos Pappas
Dani Yogatama
Roy Schwartz
Noah A. Smith
Lingpeng Kong
136
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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
71
17
0
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Missing Value Imputation on Multidimensional Time Series
Parikshit Bansal
Prathamesh Deshpande
Sunita Sarawagi
AI4TS
154
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SparseBERT: Rethinking the Importance Analysis in Self-attention
Han Shi
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Hang Xu
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97
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0
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Evolving Attention with Residual Convolutions
Yujing Wang
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Jiangang Bai
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Jing Bai
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Ce Zhang
Gao Huang
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112
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Domain Adaptation for Time Series Forecasting via Attention Sharing
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Youngsuk Park
Danielle C. Maddix
Bernie Wang
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TTA
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183
78
0
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Feature Selection for Multivariate Time Series via Network Pruning
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Soroush Vosoughi
T. Prioleau
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50
5
0
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NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting
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Guang Chen
Dan Xu
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Yuyao Huang
Alois C. Knoll
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48
22
0
10 Feb 2021
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting
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Jihai Zhang
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Yanjie Duan
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51
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0
31 Jan 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting
Kashif Rasul
Calvin Seward
Ingmar Schuster
Roland Vollgraf
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173
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0
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Adjusting for Autocorrelated Errors in Neural Networks for Time Series
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C. Lang
Duane S. Boning
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107
28
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28 Jan 2021
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting
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Brian Quanz
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209
71
0
25 Jan 2021
Multi-Task Time Series Forecasting With Shared Attention
Zekai Chen
Jiaze E
Xiao Zhang
Hao Sheng
Xiuzhen Cheng
AI4TS
86
20
0
24 Jan 2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Chao Shang
Jie Chen
J. Bi
CML
BDL
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178
242
0
18 Jan 2021
Series Saliency: Temporal Interpretation for Multivariate Time Series Forecasting
Qingyi Pan
Wenbo Hu
Jun Zhu
FAtt
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43
7
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An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks
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Daniela Oelke
Daniel A. Keim
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AI4TS
26
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0
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Detecting Video Game Player Burnout with the Use of Sensor Data and Machine Learning
Anton Smerdov
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Evgeny Burnaev
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23
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0
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Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals
Tsung-Yu Hsieh
Suhang Wang
Yiwei Sun
Vasant Honavar
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FAtt
29
9
0
23 Nov 2020
Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems
Rui Wang
Danielle C. Maddix
Christos Faloutsos
Bernie Wang
Rose Yu
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53
53
0
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Hurricane Forecasting: A Novel Multimodal Machine Learning Framework
L. Boussioux
C. Zeng
Théo Guénais
Dimitris Bertsimas
64
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Peak Detection On Data Independent Acquisition Mass Spectrometry Data With Semisupervised Convolutional Transformers
Leon L. Xu
H. Röst
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1
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Inter-Series Attention Model for COVID-19 Forecasting
Xiaoyong Jin
Yu Wang
Xifeng Yan
AI4TS
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Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity
Vincent Le Guen
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87
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A Transformer-based Framework for Multivariate Time Series Representation Learning
George Zerveas
Srideepika Jayaraman
Dhaval Patel
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Carsten Eickhoff
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109
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Rank Position Forecasting in Car Racing
Bo Peng
Jiayu Li
Selahattin Akkas
Fugang Wang
Takuya Araki
Ohno Yoshiyuki
J. Qiu
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64
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04 Oct 2020
MQTransformer: Multi-Horizon Forecasts with Context Dependent and Feedback-Aware Attention
Carson Eisenach
Yagna Patel
Dhruv Madeka
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107
37
0
30 Sep 2020
N-BEATS neural network for mid-term electricity load forecasting
Boris N. Oreshkin
Grzegorz Dudek
Paweł Pełka
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AI4TS
50
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24 Sep 2020
Neural Rough Differential Equations for Long Time Series
James Morrill
C. Salvi
Patrick Kidger
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90
133
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17 Sep 2020
Deep Switching Auto-Regressive Factorization:Application to Time Series Forecasting
Amirreza Farnoosh
Bahar Azari
Sarah Ostadabbas
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73
22
0
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FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting
Boris N. Oreshkin
A. Amini
Lucy Coyle
Mark Coates
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110
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Dynamic Relational Inference in Multi-Agent Trajectories
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Manish Kumar Singh
Rose Yu
125
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The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction
Alice Martin
Charles Ollion
Florian Strub
Sylvain Le Corff
Olivier Pietquin
55
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Deep Contextual Clinical Prediction with Reverse Distillation
Rohan Kodialam
Rebecca Boiarsky
Justin Lim
Neil Dixit
Aditya Sai
David Sontag
60
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Low-Rank Autoregressive Tensor Completion for Multivariate Time Series Forecasting
Xinyu Chen
Lijun Sun
AI4TS
63
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0
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The Effectiveness of Discretization in Forecasting: An Empirical Study on Neural Time Series Models
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Tim Januschowski
Valentin Flunkert
David Salinas
Jan Gasthaus
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80
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Time Series Forecasting With Deep Learning: A Survey
Bryan Lim
S. Zohren
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128
1,255
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Correlation-aware Unsupervised Change-point Detection via Graph Neural Networks
Ruohong Zhang
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Donghan Yu
Wei-Cheng Chang
Guokun Lai
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45
1
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Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
Konstantinos Benidis
Syama Sundar Rangapuram
Valentin Flunkert
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...
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Lorenzo Stella
François-Xavier Aubet
Laurent Callot
Tim Januschowski
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99
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TraDE: Transformers for Density Estimation
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Pratik Chaudhari
Jonas W. Mueller
Alex Smola
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Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows
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Urs M. Bergmann
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ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting
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33
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