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A Transformer-based Framework for Multivariate Time Series
  Representation Learning

A Transformer-based Framework for Multivariate Time Series Representation Learning

6 October 2020
George Zerveas
Srideepika Jayaraman
Dhaval Patel
A. Bhamidipaty
Carsten Eickhoff
    AI4TS
ArXivPDFHTML

Papers citing "A Transformer-based Framework for Multivariate Time Series Representation Learning"

48 / 48 papers shown
Title
A Novel Hybrid Approach Using an Attention-Based Transformer + GRU Model for Predicting Cryptocurrency Prices
A Novel Hybrid Approach Using an Attention-Based Transformer + GRU Model for Predicting Cryptocurrency Prices
Esam Mahdi
C. Martin-Barreiro
X. Cabezas
AI4TS
87
0
0
23 Apr 2025
STaRFormer: Semi-Supervised Task-Informed Representation Learning via Dynamic Attention-Based Regional Masking for Sequential Data
STaRFormer: Semi-Supervised Task-Informed Representation Learning via Dynamic Attention-Based Regional Masking for Sequential Data
Maxmilian Forstenhäusler
Daniel Külzer
Christos Anagnostopoulos
Shameem Puthiya Parambath
Natascha Weber
AI4TS
MedIm
94
0
0
14 Apr 2025
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
Lucas Heublein
Nisha Lakshmana Raichur
Tobias Feigl
Tobias Brieger
Fin Heuer
Lennart Asbach
A. Rügamer
Felix Ott
109
7
0
31 Mar 2025
Deep Learning for Time Series Forecasting: A Survey
X. Kong
Zhenghao Chen
Weiyao Liu
Kaili Ning
Lechao Zhang
Syauqie Muhammad Marier
Yichen Liu
Yuhao Chen
Feng Xia
AI4TS
AI4CE
74
4
0
13 Mar 2025
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis
Luyuan Xie
Tianyu Luan
Wenyuan Cai
Guochen Yan
Zhaoyu Chen
Nan Xi
Yuejian Fang
Qingni Shen
Zhonghai Wu
Junsong Yuan
FedML
126
0
0
13 Mar 2025
Simpler Fast Vision Transformers with a Jumbo CLS Token
Simpler Fast Vision Transformers with a Jumbo CLS Token
A. Fuller
Yousef Yassin
Daniel G. Kyrollos
Evan Shelhamer
James R. Green
112
0
0
20 Feb 2025
Swarm Characteristics Classification Using Neural Networks
Swarm Characteristics Classification Using Neural Networks
Donald W. Peltier
Isaac Kaminer
Abram H. Clark
Marko Orescanin
45
1
0
20 Feb 2025
Structure-preserving contrastive learning for spatial time series
Structure-preserving contrastive learning for spatial time series
Yiru Jiao
Sander van Cranenburgh
Simeon C. Calvert
H. Lint
AI4TS
113
0
0
10 Feb 2025
Unifying Prediction and Explanation in Time-Series Transformers via Shapley-based Pretraining
Qisen Cheng
Jinming Xing
Chang Xue
Xiaoran Yang
AI4TS
52
3
0
28 Jan 2025
Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model
Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model
Quentin Renau
E. Hart
51
0
0
20 Jan 2025
Human Arm Pose Estimation with a Shoulder-worn Force-Myography Device for Human-Robot Interaction
Human Arm Pose Estimation with a Shoulder-worn Force-Myography Device for Human-Robot Interaction
Rotem Atari
Eran Bamani
A. Sintov
80
0
0
12 Nov 2024
Repurposing Foundation Model for Generalizable Medical Time Series Classification
Repurposing Foundation Model for Generalizable Medical Time Series Classification
Nan Huang
Haishuai Wang
Zihuai He
Marinka Zitnik
Xiang Zhang
AI4TS
OOD
38
2
0
03 Oct 2024
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Xiaoming Shi
Shiyu Wang
Yuqi Nie
Dianqi Li
Zhou Ye
Qingsong Wen
Ming Jin
AI4TS
61
37
0
24 Sep 2024
Multiple-Resolution Tokenization for Time Series Forecasting with an Application to Pricing
Multiple-Resolution Tokenization for Time Series Forecasting with an Application to Pricing
Egon Persak
Miguel F. Anjos
Sebastian Lautz
Aleksandar Kolev
AI4TS
50
0
0
03 Jul 2024
SoMeR: Multi-View User Representation Learning for Social Media
SoMeR: Multi-View User Representation Learning for Social Media
Siyi Guo
Keith Burghardt
Valeria Pante
Kristina Lerman
AI4TS
60
0
0
02 May 2024
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
Zahra Zamanzadeh Darban
Yiyuan Yang
Geoffrey I. Webb
Charu C. Aggarwal
Qingsong Wen
Xiaojun Jia
Mahsa Salehi
69
0
0
17 Apr 2024
Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning
Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning
Cheng Liang
Donghua Yang
Zhiyu Liang
Hongzhi Wang
Zheng Liang
Xiyang Zhang
Jianfeng Huang
AI4TS
342
1
0
09 Dec 2023
P-Transformer: A Prompt-based Multimodal Transformer Architecture For Medical Tabular Data
P-Transformer: A Prompt-based Multimodal Transformer Architecture For Medical Tabular Data
Y. Ruan
Xiang Lan
Daniel J. Tan
H. Abdullah
Mengling Feng
LMTD
MedIm
84
1
0
30 Mar 2023
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series
  Classification
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
Angus Dempster
Daniel F. Schmidt
Geoffrey I. Webb
AI4TS
55
359
0
16 Dec 2020
Monash University, UEA, UCR Time Series Extrinsic Regression Archive
Monash University, UEA, UCR Time Series Extrinsic Regression Archive
Chang Wei Tan
Christoph Bergmeir
F. Petitjean
Geoffrey I. Webb
AI4TS
48
24
0
19 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
383
41,106
0
28 May 2020
Longformer: The Long-Document Transformer
Longformer: The Long-Document Transformer
Iz Beltagy
Matthew E. Peters
Arman Cohan
RALM
VLM
63
3,996
0
10 Apr 2020
Deep Transformer Models for Time Series Forecasting: The Influenza
  Prevalence Case
Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case
Neo Wu
Bradley Green
X. Ben
S. O’Banion
AI4TS
26
448
0
23 Jan 2020
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series
  Forecasting
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
Bryan Lim
Sercan O. Arik
Nicolas Loeff
Tomas Pfister
AI4TS
78
1,427
0
19 Dec 2019
ROCKET: Exceptionally fast and accurate time series classification using
  random convolutional kernels
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
Angus Dempster
Franccois Petitjean
Geoffrey I. Webb
AI4TS
60
763
0
29 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
206
19,824
0
23 Oct 2019
Mixture-of-Experts Variational Autoencoder for Clustering and Generating
  from Similarity-Based Representations on Single Cell Data
Mixture-of-Experts Variational Autoencoder for Clustering and Generating from Similarity-Based Representations on Single Cell Data
Andreas Kopf
Vincent Fortuin
Vignesh Ram Somnath
Manfred Claassen
DRL
23
12
0
17 Oct 2019
InceptionTime: Finding AlexNet for Time Series Classification
InceptionTime: Finding AlexNet for Time Series Classification
Hassan Ismail Fawaz
Benjamin Lucas
Germain Forestier
Charlotte Pelletier
Daniel F. Schmidt
J. Weber
Geoffrey I. Webb
L. Idoumghar
Pierre-Alain Muller
Franccois Petitjean
AI4TS
128
1,083
0
11 Sep 2019
On the Variance of the Adaptive Learning Rate and Beyond
On the Variance of the Adaptive Learning Rate and Beyond
Liyuan Liu
Haoming Jiang
Pengcheng He
Weizhu Chen
Xiaodong Liu
Jianfeng Gao
Jiawei Han
ODL
104
1,894
0
08 Aug 2019
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer
  on Time Series Forecasting
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
Shiyang Li
Xiaoyong Jin
Yao Xuan
Xiyou Zhou
Wenhu Chen
Yu Wang
Xifeng Yan
AI4TS
46
1,398
0
29 Jun 2019
TS-CHIEF: A Scalable and Accurate Forest Algorithm for Time Series
  Classification
TS-CHIEF: A Scalable and Accurate Forest Algorithm for Time Series Classification
Ahmed Shifaz
Charlotte Pelletier
F. Petitjean
Geoffrey I. Webb
AI4TS
45
183
0
25 Jun 2019
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series
E. Brouwer
Jaak Simm
Adam Arany
Yves Moreau
SyDa
CML
AI4TS
66
292
0
29 May 2019
CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time
  Series Imputation
CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation
Jiawei Ma
Zheng Shou
Alireza Zareian
Hassan Mansour
A. Vetro
Shih-Fu Chang
AI4TS
35
62
0
23 May 2019
Unsupervised Scalable Representation Learning for Multivariate Time
  Series
Unsupervised Scalable Representation Learning for Multivariate Time Series
Jean-Yves Franceschi
Aymeric Dieuleveut
Martin Jaggi
SSL
AI4TS
34
449
0
30 Jan 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Zihang Dai
Zhilin Yang
Yiming Yang
J. Carbonell
Quoc V. Le
Ruslan Salakhutdinov
VLM
105
3,707
0
09 Jan 2019
Improving Clinical Predictions through Unsupervised Time Series
  Representation Learning
Improving Clinical Predictions through Unsupervised Time Series Representation Learning
Xinrui Lyu
Matthias Huser
Stephanie L. Hyland
George Zerveas
Gunnar Rätsch
SSL
OOD
AI4TS
27
43
0
02 Dec 2018
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis
  in Multivariate Time Series Data
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
Chuxu Zhang
Dongjin Song
Yuncong Chen
Xinyang Feng
C. Lumezanu
Wei Cheng
Jingchao Ni
Bo Zong
Haifeng Chen
Nitesh Chawla
AI4TS
101
694
0
20 Nov 2018
The UEA multivariate time series classification archive, 2018
The UEA multivariate time series classification archive, 2018
A. Bagnall
Hoang Anh Dau
Jason Lines
Michael Flynn
J. Large
A. Bostrom
Paul Southam
Eamonn Keogh
AI4TS
68
415
0
31 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
808
93,936
0
11 Oct 2018
Deep learning for time series classification: a review
Deep learning for time series classification: a review
Hassan Ismail Fawaz
Germain Forestier
J. Weber
L. Idoumghar
Pierre-Alain Muller
AI4TS
AI4CE
215
2,668
0
12 Sep 2018
Music Transformer
Music Transformer
Cheng-Zhi Anna Huang
Ashish Vaswani
Jakob Uszkoreit
Noam M. Shazeer
Ian Simon
Curtis Hawthorne
Andrew M. Dai
Matthew D. Hoffman
Monica Dinculescu
Douglas Eck
136
478
0
12 Sep 2018
Proximity Forest: An effective and scalable distance-based classifier
  for time series
Proximity Forest: An effective and scalable distance-based classifier for time series
Benjamin Lucas
Ahmed Shifaz
Charlotte Pelletier
Lachlan O’Neill
Nayyar Zaidi
Bart Goethals
F. Petitjean
Geoffrey I. Webb
AI4TS
99
164
0
31 Aug 2018
SOM-VAE: Interpretable Discrete Representation Learning on Time Series
SOM-VAE: Interpretable Discrete Representation Learning on Time Series
Vincent Fortuin
Matthias Huser
Francesco Locatello
Heiko Strathmann
Gunnar Rätsch
BDL
AI4TS
47
139
0
06 Jun 2018
Unsupervised Learning of Semantic Audio Representations
Unsupervised Learning of Semantic Audio Representations
A. Jansen
Manoj Plakal
R. Pandya
D. Ellis
Shawn Hershey
Jiayang Liu
R. C. Moore
Rif A. Saurous
SSL
62
131
0
06 Nov 2017
TimeNet: Pre-trained deep recurrent neural network for time series
  classification
TimeNet: Pre-trained deep recurrent neural network for time series classification
Pankaj Malhotra
T. Vishnu
Lovekesh Vig
Puneet Agarwal
Gautam M. Shroff
AI4TS
36
170
0
23 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
314
129,831
0
12 Jun 2017
Similarity Preserving Representation Learning for Time Series Clustering
Similarity Preserving Representation Learning for Time Series Clustering
Qi Lei
Jinfeng Yi
Roman Vaculin
Lingfei Wu
Inderjit S. Dhillon
AI4TS
15
24
0
12 Feb 2017
On the difficulty of training Recurrent Neural Networks
On the difficulty of training Recurrent Neural Networks
Razvan Pascanu
Tomas Mikolov
Yoshua Bengio
ODL
95
5,318
0
21 Nov 2012
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