ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2004.13408
  4. Cited By
Time Series Forecasting With Deep Learning: A Survey
v1v2 (latest)

Time Series Forecasting With Deep Learning: A Survey

28 April 2020
Bryan Lim
S. Zohren
    AI4TSAI4CE
ArXiv (abs)PDFHTML

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

50 / 346 papers shown
Title
Hybrid Variational Autoencoder for Time Series Forecasting
Hybrid Variational Autoencoder for Time Series ForecastingKnowledge-Based Systems (KBS), 2023
Borui Cai
Shuiqiao Yang
Longxiang Gao
Yong Xiang
BDLAI4TS
150
27
0
13 Mar 2023
Model scale versus domain knowledge in statistical forecasting of
  chaotic systems
Model scale versus domain knowledge in statistical forecasting of chaotic systemsPhysical Review Research (Phys. Rev. Res.), 2023
W. Gilpin
AI4TS
187
31
0
13 Mar 2023
TSMixer: An All-MLP Architecture for Time Series Forecasting
TSMixer: An All-MLP Architecture for Time Series Forecasting
Si-An Chen
Chun-Liang Li
Nate Yoder
Sercan O. Arik
Tomas Pfister
AI4TS
193
267
0
10 Mar 2023
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge
  Collaborative AutoML System
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System
Chao Xue
Wen Liu
Shunxing Xie
Zhenfang Wang
Jiaxing Li
...
Shi-Yong Chen
Yibing Zhan
Jing Zhang
Chaoyue Wang
Dacheng Tao
183
2
0
01 Mar 2023
Learning Mixture Structure on Multi-Source Time Series for Probabilistic
  Forecasting
Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting
Tianli Guo
AI4TS
91
1
0
22 Feb 2023
Spatio-Temporal Momentum: Jointly Learning Time-Series and
  Cross-Sectional Strategies
Spatio-Temporal Momentum: Jointly Learning Time-Series and Cross-Sectional StrategiesThe Journal of Financial Data Science (JFDS), 2023
Wee Ling Tan
Stephen J. Roberts
S. Zohren
AI4TSAIFin
60
10
0
20 Feb 2023
Exploring the Advantages of Transformers for High-Frequency Trading
Exploring the Advantages of Transformers for High-Frequency Trading
Fazl Barez
Paul Bilokon
Arthur Gervais
Nikita Lisitsyn
AI4TS
32
6
0
20 Feb 2023
Masked Multi-Step Probabilistic Forecasting for Short-to-Mid-Term
  Electricity Demand
Masked Multi-Step Probabilistic Forecasting for Short-to-Mid-Term Electricity DemandIEEE Power & Energy Society General Meeting (PESGM), 2023
Yiwei Fu
Nurali Virani
Honggang Wang
AI4TS
82
7
0
14 Feb 2023
Interpretable Deep Learning for Forecasting Online Advertising Costs:
  Insights from the Competitive Bidding Landscape
Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding LandscapeInternational Conference on Data Science and Advanced Analytics (DSAA), 2023
Fynn Oldenburg
Qiwei Han
Maximilian Kaiser
87
1
0
11 Feb 2023
Online Resource Allocation: Bandits feedback and Advice on Time-varying
  Demands
Online Resource Allocation: Bandits feedback and Advice on Time-varying Demands
Lixing Lyu
Wang Chi Cheung
136
0
0
08 Feb 2023
DeepVATS: Deep Visual Analytics for Time Series
DeepVATS: Deep Visual Analytics for Time SeriesKnowledge-Based Systems (KBS), 2023
V. Rodríguez-Fernández
David Montalvo
F. Piccialli
Grzegorz J. Nalepa
David Camacho
AI4TS
73
11
0
08 Feb 2023
A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas
A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research AreasACM Computing Surveys (ACM Comput. Surv.), 2023
Janik-Vasily Benzin
Stefanie Rinderle-Ma
AI4TS
238
3
0
08 Feb 2023
Unsupervised Deep Learning for IoT Time Series
Unsupervised Deep Learning for IoT Time SeriesIEEE Internet of Things Journal (IEEE IoT J.), 2023
Ya Liu
Ying Zhou
Kai Yang
Xiao Wang
AI4TS
248
51
0
07 Feb 2023
Infomaxformer: Maximum Entropy Transformer for Long Time-Series
  Forecasting Problem
Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting ProblemAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Peiwang Tang
Xianchao Zhang
AI4TS
177
8
0
04 Jan 2023
Learning from Data Streams: An Overview and Update
Learning from Data Streams: An Overview and UpdateACM Computing Surveys (ACM CSUR), 2022
Jesse Read
Indr.e vZliobait.e
197
7
0
30 Dec 2022
A Dynamics Theory of Implicit Regularization in Deep Low-Rank Matrix
  Factorization
A Dynamics Theory of Implicit Regularization in Deep Low-Rank Matrix Factorization
JIAN-PENG Cao
Chao Qian
Yihui Huang
Dicheng Chen
Yuncheng Gao
Jiyang Dong
D. Guo
X. Qu
215
1
0
29 Dec 2022
Towards Better Long-range Time Series Forecasting using Generative
  Forecasting
Towards Better Long-range Time Series Forecasting using Generative Forecasting
Shiyu Liu
Rohan Ghosh
Mehul Motani
AI4TS
216
3
0
09 Dec 2022
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics
Data-driven Science and Machine Learning Methods in Laser-Plasma PhysicsHigh Power Laser Science and Engineering (HPLSE), 2022
Andreas Döpp
C. Eberle
S. Howard
F. Irshad
Jinpu Lin
M. Streeter
AI4CE
217
84
0
30 Nov 2022
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
A Time Series is Worth 64 Words: Long-term Forecasting with TransformersInternational Conference on Learning Representations (ICLR), 2022
Yuqi Nie
Nam H. Nguyen
Phanwadee Sinthong
Jayant Kalagnanam
AIFinAI4TS
263
2,160
0
27 Nov 2022
Workload Forecasting of a Logistic Node Using Bayesian Neural Networks
Workload Forecasting of a Logistic Node Using Bayesian Neural Networks
Emin Cagatay Nakilcioglu
Anisa Rizvanolli
93
1
0
09 Nov 2022
Bayesian Neural Networks for Macroeconomic Analysis
Bayesian Neural Networks for Macroeconomic AnalysisJournal of Econometrics (JE), 2022
Niko Hauzenberger
Florian Huber
K. Klieber
Massimiliano Marcellino
BDL
136
11
0
09 Nov 2022
Privacy Meets Explainability: A Comprehensive Impact Benchmark
Privacy Meets Explainability: A Comprehensive Impact Benchmark
S. Saifullah
Dominique Mercier
Adriano Lucieri
Andreas Dengel
Sheraz Ahmed
97
18
0
08 Nov 2022
Deep learning for structural health monitoring: An application to
  heritage structures
Deep learning for structural health monitoring: An application to heritage structures
F. Carrara
Fabrizio Falchi
M. Girardi
Nicola Messina
C. Padovani
D. Pellegrini
46
2
0
04 Nov 2022
MUSTACHE: Multi-Step-Ahead Predictions for Cache Eviction
MUSTACHE: Multi-Step-Ahead Predictions for Cache Eviction
Gabriele Tolomei
Lorenzo Takanen
Fabio Pinelli
48
0
0
03 Nov 2022
A Long-term Dependent and Trustworthy Approach to Reactor Accident
  Prognosis based on Temporal Fusion Transformer
A Long-term Dependent and Trustworthy Approach to Reactor Accident Prognosis based on Temporal Fusion Transformer
Chengyuan Li
Zihan Qiu
Yugao Ma
Mei Li
49
1
0
28 Oct 2022
Sparsity in Continuous-Depth Neural Networks
Sparsity in Continuous-Depth Neural NetworksNeural Information Processing Systems (NeurIPS), 2022
H. Aliee
Till Richter
Mikhail Solonin
I. Ibarra
Fabian J. Theis
Niki Kilbertus
177
15
0
26 Oct 2022
Multimodal Neural Network For Demand Forecasting
Multimodal Neural Network For Demand ForecastingInternational Conference on Neural Information Processing (ICONIP), 2022
Nitesh Kumar
K. Dheenadayalan
Suprabath Reddy
Sumant Kulkarni
AI4TS
86
7
0
20 Oct 2022
Neural Augmented Kalman Filtering with Bollinger Bands for Pairs Trading
Neural Augmented Kalman Filtering with Bollinger Bands for Pairs TradingIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Amit Milstein
Haoran Deng
Guy Revach
Hai Morgenstern
Stefano Rini
145
8
0
19 Oct 2022
Improving Medical Predictions by Irregular Multimodal Electronic Health
  Records Modeling
Improving Medical Predictions by Irregular Multimodal Electronic Health Records ModelingInternational Conference on Machine Learning (ICML), 2022
Xinlu Zhang
Shiyang Li
Zhiyu Zoey Chen
Xifeng Yan
Linda R. Petzold
AI4TS
159
42
0
18 Oct 2022
Temporal-Spatial dependencies ENhanced deep learning model (TSEN) for
  household leverage series forecasting
Temporal-Spatial dependencies ENhanced deep learning model (TSEN) for household leverage series forecasting
Hu Yang
Yi Huang
Haijun Wang
Yu Chen
AI4TS
67
1
0
17 Oct 2022
On Trustworthy Decision-Making Process of Human Drivers from the View of
  Perceptual Uncertainty Reduction
On Trustworthy Decision-Making Process of Human Drivers from the View of Perceptual Uncertainty Reduction
Huanjie Wang
Haibin Liu
Wenshuo Wang
Lijun Sun
96
4
0
15 Oct 2022
Interpreting County Level COVID-19 Infection and Feature Sensitivity
  using Deep Learning Time Series Models
Interpreting County Level COVID-19 Infection and Feature Sensitivity using Deep Learning Time Series Models
Md. Khairul Islam
Di Zhu
Yingzheng Liu
Andrej Erkelens
Nick Daniello
Judy Fox
85
2
0
06 Oct 2022
Edge-Varying Fourier Graph Networks for Multivariate Time Series
  Forecasting
Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting
Kun Yi
Tao Gui
Liang Hu
Hui He
Ning An
LongBing Cao
ZhenDong Niu
AI4TS
207
3
0
06 Oct 2022
TimesNet: Temporal 2D-Variation Modeling for General Time Series
  Analysis
TimesNet: Temporal 2D-Variation Modeling for General Time Series AnalysisInternational Conference on Learning Representations (ICLR), 2022
Haixu Wu
Teng Hu
Yong Liu
Hang Zhou
Jianmin Wang
Mingsheng Long
AI4TSAIFin
261
1,274
0
05 Oct 2022
Masked Multi-Step Multivariate Time Series Forecasting with Future
  Information
Masked Multi-Step Multivariate Time Series Forecasting with Future Information
Yiwei Fu
Honggang Wang
Nurali Virani
AI4TS
96
2
0
28 Sep 2022
DeepVol: Volatility Forecasting from High-Frequency Data with Dilated
  Causal Convolutions
DeepVol: Volatility Forecasting from High-Frequency Data with Dilated Causal Convolutions
Fernando Moreno-Pino
S. Zohren
137
17
0
23 Sep 2022
DynaConF: Dynamic Forecasting of Non-Stationary Time Series
DynaConF: Dynamic Forecasting of Non-Stationary Time Series
Siqi Liu
Andreas M. Lehrmann
BDLAI4TS
129
2
0
17 Sep 2022
Deep Baseline Network for Time Series Modeling and Anomaly Detection
Deep Baseline Network for Time Series Modeling and Anomaly DetectionInternational Conference on Machine Learning and Applications (ICMLA), 2022
Cheng Ge
Xinyu Chen
Ming Wang
Jin Wang
AI4TS
78
0
0
10 Sep 2022
W-Transformers : A Wavelet-based Transformer Framework for Univariate
  Time Series Forecasting
W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series ForecastingInternational Conference on Machine Learning and Applications (ICMLA), 2022
Zakaria Elabid
Tanujit Chakraborty
Abdenour Hadid
AI4TS
153
29
0
08 Sep 2022
Learning Differential Operators for Interpretable Time Series Modeling
Learning Differential Operators for Interpretable Time Series ModelingKnowledge Discovery and Data Mining (KDD), 2022
Yingtao Luo
Chang Xu
Yang Liu
Yuante Li
Shun Zheng
Jiang Bian
AI4TS
127
11
0
03 Sep 2022
Sequence Prediction Under Missing Data : An RNN Approach Without
  Imputation
Sequence Prediction Under Missing Data : An RNN Approach Without ImputationInternational Conference on Information and Knowledge Management (CIKM), 2022
Soumen Pachal
Avinash Achar
AI4TS
62
5
0
18 Aug 2022
HyperTime: Implicit Neural Representation for Time Series
HyperTime: Implicit Neural Representation for Time Series
Elizabeth Fons
Alejandro Sztrajman
Yousef El-Laham
Alexandros Iosifidis
Svitlana Vyetrenko
AI4TS
119
26
0
11 Aug 2022
A Model-Constrained Tangent Slope Learning Approach for Dynamical
  Systems
A Model-Constrained Tangent Slope Learning Approach for Dynamical Systems
Hai V. Nguyen
T. Bui-Thanh
135
3
0
09 Aug 2022
Time Series Forecasting Models Copy the Past: How to Mitigate
Time Series Forecasting Models Copy the Past: How to MitigateInternational Conference on Artificial Neural Networks (ICANN), 2022
Chrysoula Kosma
Giannis Nikolentzos
Nancy R. Xu
Michalis Vazirgiannis
AI4TS
77
5
0
27 Jul 2022
Rapid training of quantum recurrent neural networks
Rapid training of quantum recurrent neural networksQuantum Machine Intelligence (QMI), 2022
M. Siemaszko
A. Buraczewski
Bertrand Le Saux
Magdalena Stobiñska
190
10
0
01 Jul 2022
Data Augmentation techniques in time series domain: A survey and
  taxonomy
Data Augmentation techniques in time series domain: A survey and taxonomy
Guillermo Iglesias
Edgar Talavera
Ángel González-Prieto
Alberto Mozo
S. Gómez-Canaval
AI4TS
243
216
0
25 Jun 2022
A review of machine learning concepts and methods for addressing
  challenges in probabilistic hydrological post-processing and forecasting
A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecastingFrontiers in Water (FW), 2022
Georgia Papacharalampous
Hristos Tyralis
AI4CE
150
33
0
17 Jun 2022
EXIT: Extrapolation and Interpolation-based Neural Controlled
  Differential Equations for Time-series Classification and Forecasting
EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and ForecastingThe Web Conference (WWW), 2022
Sheo Yon Jhin
Jaehoon Lee
Minju Jo
Seung-Uk Kook
Jinsung Jeon
Jihyeon Hyeong
Jayoung Kim
Noseong Park
AI4TS
119
25
0
19 Apr 2022
Multimodal Quasi-AutoRegression: Forecasting the visual popularity of
  new fashion products
Multimodal Quasi-AutoRegression: Forecasting the visual popularity of new fashion products
Stefanos-Iordanis Papadopoulos
C. Koutlis
Symeon Papadopoulos
Y. Kompatsiaris
147
24
0
08 Apr 2022
Few-Shot Forecasting of Time-Series with Heterogeneous Channels
Few-Shot Forecasting of Time-Series with Heterogeneous Channels
L. Brinkmeyer
Rafael Rêgo Drumond
Johannes Burchert
Lars Schmidt-Thieme
AI4TS
139
10
0
07 Apr 2022
Previous
1234567
Next