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Unsupervised Scalable Representation Learning for Multivariate Time
  Series

Unsupervised Scalable Representation Learning for Multivariate Time Series

30 January 2019
Jean-Yves Franceschi
Aymeric Dieuleveut
Martin Jaggi
    SSL
    AI4TS
ArXivPDFHTML

Papers citing "Unsupervised Scalable Representation Learning for Multivariate Time Series"

19 / 69 papers shown
Title
Flowformer: Linearizing Transformers with Conservation Flows
Flowformer: Linearizing Transformers with Conservation Flows
Haixu Wu
Jialong Wu
Jiehui Xu
Jianmin Wang
Mingsheng Long
14
90
0
13 Feb 2022
Unsupervised Time-Series Representation Learning with Iterative Bilinear
  Temporal-Spectral Fusion
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
Ling Yang
linda Qiao
AI4TS
25
119
0
08 Feb 2022
Deep Efficient Continuous Manifold Learning for Time Series Modeling
Deep Efficient Continuous Manifold Learning for Time Series Modeling
Seungwoo Jeong
Wonjun Ko
A. Mulyadi
Heung-Il Suk
AI4TS
29
8
0
03 Dec 2021
Unsupervised Visual Time-Series Representation Learning and Clustering
Unsupervised Visual Time-Series Representation Learning and Clustering
G. Anand
R. Nayak
AI4TS
19
4
0
19 Nov 2021
Self-Supervised Representation Learning: Introduction, Advances and
  Challenges
Self-Supervised Representation Learning: Introduction, Advances and Challenges
Linus Ericsson
Henry Gouk
Chen Change Loy
Timothy M. Hospedales
SSL
OOD
AI4TS
34
273
0
18 Oct 2021
SMATE: Semi-Supervised Spatio-Temporal Representation Learning on
  Multivariate Time Series
SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series
Jingwei Zuo
K. Zeitouni
Y. Taher
AI4TS
34
17
0
01 Oct 2021
Improving Semi-Supervised Learning for Remaining Useful Lifetime
  Estimation Through Self-Supervision
Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision
Tilman Krokotsch
M. Knaak
C. Gühmann
8
22
0
19 Aug 2021
Neural Contextual Anomaly Detection for Time Series
Neural Contextual Anomaly Detection for Time Series
Chris U. Carmona
Franccois-Xavier Aubet
Valentin Flunkert
Jan Gasthaus
BDL
AI4TS
59
63
0
16 Jul 2021
Time-Series Representation Learning via Temporal and Contextual
  Contrasting
Time-Series Representation Learning via Temporal and Contextual Contrasting
Emadeldeen Eldele
Mohamed Ragab
Zhenghua Chen
Min-man Wu
C. Kwoh
Xiaoli Li
Cuntai Guan
AI4TS
40
491
0
26 Jun 2021
Neighborhood Contrastive Learning Applied to Online Patient Monitoring
Neighborhood Contrastive Learning Applied to Online Patient Monitoring
Hugo Yèche
Gideon Dresdner
Francesco Locatello
Matthias Huser
Gunnar Rätsch
21
46
0
09 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for
  Signal Recognition
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition
Yihong Dong
Ying Peng
Muqiao Yang
Songtao Lu
Qingjiang Shi
40
9
0
05 Jun 2021
Unsupervised Representation Learning for Time Series with Temporal
  Neighborhood Coding
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding
S. Tonekaboni
Danny Eytan
Anna Goldenberg
CML
SSL
AI4TS
25
283
0
01 Jun 2021
Eye Know You: Metric Learning for End-to-end Biometric Authentication
  Using Eye Movements from a Longitudinal Dataset
Eye Know You: Metric Learning for End-to-end Biometric Authentication Using Eye Movements from a Longitudinal Dataset
D. Lohr
Henry K. Griffith
Oleg V. Komogortsev
37
29
0
21 Apr 2021
Time Series Change Point Detection with Self-Supervised Contrastive
  Predictive Coding
Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding
Shohreh Deldari
Daniel V. Smith
Hao Xue
Flora D. Salim
AI4TS
27
107
0
28 Nov 2020
WRSE -- a non-parametric weighted-resolution ensemble for predicting
  individual survival distributions in the ICU
WRSE -- a non-parametric weighted-resolution ensemble for predicting individual survival distributions in the ICU
Jonathan Heitz
Joanna Ficek
M. Faltys
T. Merz
Gunnar Rätsch
Matthias Huser
11
1
0
02 Nov 2020
TimeAutoML: Autonomous Representation Learning for Multivariate
  Irregularly Sampled Time Series
TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series
Yang Jiao
Kai Yang
Shaoyu Dou
Pan Luo
Sijia Liu
Dongjin Song
AI4TS
16
6
0
04 Oct 2020
Deep learning for time series classification
Deep learning for time series classification
Hassan Ismail Fawaz
BDL
AI4TS
43
35
0
01 Oct 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
On the Relationship between Self-Attention and Convolutional Layers
On the Relationship between Self-Attention and Convolutional Layers
Jean-Baptiste Cordonnier
Andreas Loukas
Martin Jaggi
19
520
0
08 Nov 2019
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