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Time Series Forecasting With Deep Learning: A Survey

Time Series Forecasting With Deep Learning: A Survey

28 April 2020
Bryan Lim
S. Zohren
    AI4TS
    AI4CE
ArXivPDFHTML

Papers citing "Time Series Forecasting With Deep Learning: A Survey"

50 / 282 papers shown
Title
Castor: Competing shapelets for fast and accurate time series
  classification
Castor: Competing shapelets for fast and accurate time series classification
Isak Samsten
Zed Lee
AI4TS
24
0
0
19 Mar 2024
Is Mamba Effective for Time Series Forecasting?
Is Mamba Effective for Time Series Forecasting?
Zihan Wang
Fanheng Kong
Shi Feng
Ming Wang
Xiaocui Yang
Han Zhao
Daling Wang
Yifei Zhang
Mamba
AI4TS
32
56
0
17 Mar 2024
Leveraging Non-Decimated Wavelet Packet Features and Transformer Models
  for Time Series Forecasting
Leveraging Non-Decimated Wavelet Packet Features and Transformer Models for Time Series Forecasting
G. P. Nason
James L. Wei
AI4TS
29
1
0
13 Mar 2024
FlowVQTalker: High-Quality Emotional Talking Face Generation through
  Normalizing Flow and Quantization
FlowVQTalker: High-Quality Emotional Talking Face Generation through Normalizing Flow and Quantization
Shuai Tan
Bin Ji
Ye Pan
42
15
0
11 Mar 2024
Transformer-based Parameter Estimation in Statistics
Transformer-based Parameter Estimation in Statistics
Xiaoxin Yin
David S. Yin
19
0
0
28 Feb 2024
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by
  Long-Short-Term Prompting
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
Haoxin Liu
Zhiyuan Zhao
Jindong Wang
Harshavardhan Kamarthi
B. A. Prakash
AI4TS
LRM
VLM
63
24
0
25 Feb 2024
Model Compression Method for S4 with Diagonal State Space Layers using
  Balanced Truncation
Model Compression Method for S4 with Diagonal State Space Layers using Balanced Truncation
Haruka Ezoe
Kazuhiro Sato
28
0
0
25 Feb 2024
Deep Coupling Network For Multivariate Time Series Forecasting
Deep Coupling Network For Multivariate Time Series Forecasting
Kun Yi
Qi Zhang
Hui He
Kaize Shi
Liang Hu
Ning An
ZhenDong Niu
AI4TS
44
5
0
23 Feb 2024
Motion Code: Robust Time series Classification and Forecasting via
  Sparse Variational Multi-Stochastic Processes Learning
Motion Code: Robust Time series Classification and Forecasting via Sparse Variational Multi-Stochastic Processes Learning
Chandrajit L. Bajaj
Minh Nguyen
AI4TS
25
1
0
21 Feb 2024
A Literature Review of Literature Reviews in Pattern Analysis and
  Machine Intelligence
A Literature Review of Literature Reviews in Pattern Analysis and Machine Intelligence
Penghai Zhao
Xin Zhang
Ming-Ming Cheng
Jian Yang
Xiang Li
40
1
0
20 Feb 2024
Attractor Memory for Long-Term Time Series Forecasting: A Chaos
  Perspective
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
Jiaxi Hu
Yuehong Hu
Wei Chen
Ming Jin
Shirui Pan
Qingsong Wen
Yuxuan Liang
AI4TS
33
8
0
18 Feb 2024
Time-Series Classification for Dynamic Strategies in Multi-Step
  Forecasting
Time-Series Classification for Dynamic Strategies in Multi-Step Forecasting
Riku W. Green
Grant Stevens
Telmo de Menezes e Silva Filho
Zahraa Abdallah
AI4TS
19
0
0
13 Feb 2024
Design and Implementation of an Automated Disaster-recovery System for a
  Kubernetes Cluster Using LSTM
Design and Implementation of an Automated Disaster-recovery System for a Kubernetes Cluster Using LSTM
Ji-Beom Kim
Je-Bum Choi
Eun-Sung Jung
11
0
0
05 Feb 2024
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting
  with Anomalies
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies
Hao Cheng
Qingsong Wen
Yang Liu
Liang Sun
OOD
AI4TS
13
5
0
03 Feb 2024
Control-Theoretic Techniques for Online Adaptation of Deep Neural
  Networks in Dynamical Systems
Control-Theoretic Techniques for Online Adaptation of Deep Neural Networks in Dynamical Systems
Jacob G. Elkins
F. Fahimi
AI4CE
24
0
0
01 Feb 2024
Diffusion model for relational inference
Diffusion model for relational inference
Shuhan Zheng
Ziqiang Li
Kantaro Fujiwara
Gouhei Tanaka
DiffM
27
1
0
30 Jan 2024
A Survey of Deep Learning and Foundation Models for Time Series
  Forecasting
A Survey of Deep Learning and Foundation Models for Time Series Forecasting
John A. Miller
Mohammed Aldosari
Farah Saeed
Nasid Habib Barna
Subas Rana
I. Arpinar
Ninghao Liu
AI4TS
AI4CE
43
20
0
25 Jan 2024
Probabilistic Demand Forecasting with Graph Neural Networks
Probabilistic Demand Forecasting with Graph Neural Networks
Nikita Kozodoi
E. Zinovyeva
Simon Valentin
João Pereira
Rodrigo Agundez
AI4TS
11
0
0
23 Jan 2024
Transformers with Attentive Federated Aggregation for Time Series Stock
  Forecasting
Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting
Chu Myaet Thwal
Ye Lin Tun
Kitae Kim
Seong-Bae Park
Choong Seon Hong
AI4TS
AIFin
27
5
0
22 Jan 2024
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for
  Long-Term Forecasting
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting
Shubao Zhao
Ming Jin
Zhaoxiang Hou
Che-Sheng Yang
Zengxiang Li
Qingsong Wen
Yi Wang
22
2
0
10 Jan 2024
A Primer on Temporal Graph Learning
A Primer on Temporal Graph Learning
Aniq Ur Rahman
J. Coon
AI4CE
39
1
0
08 Jan 2024
Universal Time-Series Representation Learning: A Survey
Universal Time-Series Representation Learning: A Survey
Patara Trirat
Yooju Shin
Junhyeok Kang
Youngeun Nam
Jihye Na
Minyoung Bae
Joeun Kim
Byunghyun Kim
Jae-Gil Lee
AI4TS
75
15
0
08 Jan 2024
DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for
  Accurate and Continuous Weather Modeling
DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling
Wenyuan Li
Zili Liu
Keyan Chen
Hao Chen
Shunlin Liang
Zhengxia Zou
Z. Shi
AI4CE
25
10
0
04 Jan 2024
SFGANS Self-supervised Future Generator for human ActioN Segmentation
SFGANS Self-supervised Future Generator for human ActioN Segmentation
Or Berman
Adam Goldbraikh
S. Laufer
24
0
0
31 Dec 2023
Spatiotemporal-Linear: Towards Universal Multivariate Time Series
  Forecasting
Spatiotemporal-Linear: Towards Universal Multivariate Time Series Forecasting
Aiyinsi Zuo
Haixi Zhang
Zirui Li
Ce Zheng
AI4TS
16
1
0
22 Dec 2023
A Remark on Concept Drift for Dependent Data
A Remark on Concept Drift for Dependent Data
Fabian Hinder
Valerie Vaquet
Barbara Hammer
AI4TS
28
2
0
15 Dec 2023
MultiResFormer: Transformer with Adaptive Multi-Resolution Modeling for
  General Time Series Forecasting
MultiResFormer: Transformer with Adaptive Multi-Resolution Modeling for General Time Series Forecasting
Linfeng Du
Ji Xin
Alex Labach
S. Zuberi
M. Volkovs
Rahul G. Krishnan
AI4TS
19
0
0
30 Nov 2023
Reconstructing Historical Climate Fields With Deep Learning
Reconstructing Historical Climate Fields With Deep Learning
Nils Bochow
Anna Poltronieri
M. Rypdal
Niklas Boers
AI4Cl
AI4CE
10
0
0
30 Nov 2023
XAI for time-series classification leveraging image highlight methods
XAI for time-series classification leveraging image highlight methods
Georgios Makridis
G. Fatouros
Vasileios Koukos
Dimitrios Kotios
D. Kyriazis
Ioannis Soldatos
AI4TS
33
1
0
28 Nov 2023
Correlated Attention in Transformers for Multivariate Time Series
Correlated Attention in Transformers for Multivariate Time Series
Quang Minh Nguyen
Lam M. Nguyen
Subhro Das
AI4TS
21
0
0
20 Nov 2023
Self-Distilled Representation Learning for Time Series
Self-Distilled Representation Learning for Time Series
Felix Pieper
Konstantin Ditschuneit
Martin Genzel
Alexandra Lindt
Johannes Otterbach
AI4TS
21
1
0
19 Nov 2023
Frequency-domain MLPs are More Effective Learners in Time Series
  Forecasting
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting
Kun Yi
Qi Zhang
Wei Fan
Shoujin Wang
Pengyang Wang
Hui He
Defu Lian
Ning An
Longbin Cao
ZhenDong Niu
AI4TS
61
123
0
10 Nov 2023
Long-term Time Series Forecasting based on Decomposition and Neural
  Ordinary Differential Equations
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations
S. Lim
Jaehyeon Park
Seojin Kim
Hyowon Wi
Haksoo Lim
Jinsung Jeon
Jeongwhan Choi
Noseong Park
AI4TS
AI4CE
21
2
0
08 Nov 2023
Ego-Network Transformer for Subsequence Classification in Time Series
  Data
Ego-Network Transformer for Subsequence Classification in Time Series Data
Chin-Chia Michael Yeh
Huiyuan Chen
Yujie Fan
Xin Dai
Yan Zheng
...
Junpeng Wang
Zhongfang Zhuang
Liang Wang
Wei Zhang
Eamonn J. Keogh
22
5
0
05 Nov 2023
Temporal Treasure Hunt: Content-based Time Series Retrieval System for
  Discovering Insights
Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights
Chin-Chia Michael Yeh
Huiyuan Chen
Xin Dai
Yan Zheng
Yujie Fan
...
Junpeng Wang
Audrey Der
Zhongfang Zhuang
Liang Wang
Wei Zhang
24
1
0
05 Nov 2023
Successive Model-Agnostic Meta-Learning for Few-Shot Fault Time Series
  Prognosis
Successive Model-Agnostic Meta-Learning for Few-Shot Fault Time Series Prognosis
Hai Su
Jiajun Hu
Songsen Yu
AI4TS
9
1
0
04 Nov 2023
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
Samuel Dooley
Gurnoor Singh Khurana
Chirag Mohapatra
Siddartha Naidu
Colin White
AI4TS
86
59
0
03 Nov 2023
A Systematic Review for Transformer-based Long-term Series Forecasting
A Systematic Review for Transformer-based Long-term Series Forecasting
Liyilei Su
Xumin Zuo
Rui Li
Xin Wang
Heng Zhao
Bingding Huang
AI4TS
39
4
0
31 Oct 2023
Detecting Intentional AIS Shutdown in Open Sea Maritime Surveillance
  Using Self-Supervised Deep Learning
Detecting Intentional AIS Shutdown in Open Sea Maritime Surveillance Using Self-Supervised Deep Learning
Pierre Bernabé
Arnaud Gotlieb
B. Legeard
D. Marijan
F. Sem-Jacobsen
Helge Spieker
16
15
0
24 Oct 2023
Unlocking the Transferability of Tokens in Deep Models for Tabular Data
Unlocking the Transferability of Tokens in Deep Models for Tabular Data
Qi-Le Zhou
Han-Jia Ye
Le-Ye Wang
De-Chuan Zhan
29
7
0
23 Oct 2023
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following
  Strategies
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
Kieran Wood
Samuel Kessler
Stephen J. Roberts
S. Zohren
AI4TS
28
2
0
16 Oct 2023
Machine learning in physics: a short guide
Machine learning in physics: a short guide
F. A. Rodrigues
PINN
AI4CE
13
7
0
16 Oct 2023
Counterfactual Explanations for Time Series Forecasting
Counterfactual Explanations for Time Series Forecasting
Zhendong Wang
Ioanna Miliou
Isak Samsten
P. Papapetrou
BDL
AI4TS
OOD
32
4
0
12 Oct 2023
Performative Time-Series Forecasting
Performative Time-Series Forecasting
Zhiyuan Zhao
Alexander Rodríguez
B. Prakash
AI4TS
29
4
0
09 Oct 2023
HyperSINDy: Deep Generative Modeling of Nonlinear Stochastic Governing
  Equations
HyperSINDy: Deep Generative Modeling of Nonlinear Stochastic Governing Equations
Mozes Jacobs
Bingni W. Brunton
Steven L. Brunton
J. Nathan Kutz
Ryan V. Raut
11
8
0
07 Oct 2023
An Efficient Content-based Time Series Retrieval System
An Efficient Content-based Time Series Retrieval System
Chin-Chia Michael Yeh
Huiyuan Chen
Xin Dai
Yan Zheng
Junpeng Wang
...
Audrey Der
Zhongfang Zhuang
Liang Wang
Wei Zhang
Jeff M. Phillips
36
5
0
05 Oct 2023
Toward a Foundation Model for Time Series Data
Toward a Foundation Model for Time Series Data
Chin-Chia Michael Yeh
Xin Dai
Huiyuan Chen
Yan Zheng
Yujie Fan
...
Vivian Lai
Zhongfang Zhuang
Junpeng Wang
Liang Wang
Wei Zhang
AI4TS
AI4CE
28
25
0
05 Oct 2023
Perceiver-based CDF Modeling for Time Series Forecasting
Perceiver-based CDF Modeling for Time Series Forecasting
Cat P. Le
Chris Cannella
Ali Hasan
Yuting Ng
Vahid Tarokh
AI4TS
23
1
0
03 Oct 2023
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate
  Time Series
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series
Arjun Ashok
Étienne Marcotte
Valentina Zantedeschi
Nicolas Chapados
Alexandre Drouin
AI4TS
24
11
0
02 Oct 2023
Outage-Watch: Early Prediction of Outages using Extreme Event
  Regularizer
Outage-Watch: Early Prediction of Outages using Extreme Event Regularizer
Shubham Agarwal
Sarthak Chakraborty
Shaddy Garg
Sumit Bisht
Chahat Jain
Ashritha Gonuguntla
S. Saini
19
2
0
29 Sep 2023
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