ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
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

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
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
26
1
0
03 Oct 2024
Evolving Multi-Scale Normalization for Time Series Forecasting under
  Distribution Shifts
Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts
Dalin Qin
Yehui Li
Weiqi Chen
Zhaoyang Zhu
Qingsong Wen
Liang Sun
Pierre Pinson
Yi Wang
AI4TS
21
0
0
29 Sep 2024
Large Language Model Predicts Above Normal All India Summer Monsoon
  Rainfall in 2024
Large Language Model Predicts Above Normal All India Summer Monsoon Rainfall in 2024
Ujjawal Sharma
Madhav Biyani
Akhil Dev Suresh
Debi Prasad Bhuyan
Saroj Kanta Mishra
Tanmoy Chakraborty
21
0
0
25 Sep 2024
Generative AI-driven forecasting of oil production
Generative AI-driven forecasting of oil production
Yash Gandhi
Kexin Zheng
Birendra Jha
K. Nomura
A. Nakano
P. Vashishta
R. Kalia
18
0
0
24 Sep 2024
Practical Forecasting of Cryptocoins Timeseries using Correlation
  Patterns
Practical Forecasting of Cryptocoins Timeseries using Correlation Patterns
Pasquale De Rosa
Pascal Felber
V. Schiavoni
AI4TS
24
2
0
05 Sep 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Melkamu Mersha
Khang Lam
Joseph Wood
Ali AlShami
Jugal Kalita
XAI
AI4TS
67
28
0
30 Aug 2024
DLFormer: Enhancing Explainability in Multivariate Time Series
  Forecasting using Distributed Lag Embedding
DLFormer: Enhancing Explainability in Multivariate Time Series Forecasting using Distributed Lag Embedding
Younghwi Kim
Dohee Kim
Sunghyun Sim
AI4TS
24
0
0
29 Aug 2024
DeTPP: Leveraging Object Detection for Robust Long-Horizon Event
  Prediction
DeTPP: Leveraging Object Detection for Robust Long-Horizon Event Prediction
Ivan Karpukhin
Andrey Savchenko
23
1
0
23 Aug 2024
Correlation Analysis of Adversarial Attack in Time Series Classification
Correlation Analysis of Adversarial Attack in Time Series Classification
Zhengyang Li
Wenhao Liang
Chang Dong
Weitong Chen
Dong Huang
AAML
39
0
0
21 Aug 2024
An Efficient and Explainable Transformer-Based Few-Shot Learning for
  Modeling Electricity Consumption Profiles Across Thousands of Domains
An Efficient and Explainable Transformer-Based Few-Shot Learning for Modeling Electricity Consumption Profiles Across Thousands of Domains
Weijie Xia
Gao Peng
Chenguang Wang
Peter Palensky
Eric Pauwels
Pedro P. Vergara
27
0
0
15 Aug 2024
A Systematic Evaluation of Generated Time Series and Their Effects in
  Self-Supervised Pretraining
A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining
Audrey Der
Chin-Chia Michael Yeh
Xin Dai
Huiyuan Chen
Yan Zheng
...
Vivian Lai
Junpeng Wang
Liang Wang
Wei Zhang
Eamonn J. Keogh
AI4TS
38
1
0
15 Aug 2024
Active Learning for WBAN-based Health Monitoring
Active Learning for WBAN-based Health Monitoring
Cho-Chun Chiu
Tuan Nguyen
Ting He
Shiqiang Wang
Beom-Su Kim
Ki-Il Kim
13
0
0
05 Aug 2024
Quantile Regression using Random Forest Proximities
Quantile Regression using Random Forest Proximities
Mingshu Li
Bhaskarjit Sarmah
Dhruv Desai
Joshua Rosaler
Snigdha Bhagat
Philip Sommer
Dhagash Mehta
31
3
0
05 Aug 2024
Deep Learning for Options Trading: An End-To-End Approach
Deep Learning for Options Trading: An End-To-End Approach
Wee Ling Tan
Stephen J. Roberts
S. Zohren
20
0
0
31 Jul 2024
Time series forecasting with high stakes: A field study of the air cargo
  industry
Time series forecasting with high stakes: A field study of the air cargo industry
Abhinav Garg
Naman Shukla
Maarten Wormer
AI4TS
19
1
0
29 Jul 2024
Survey and Taxonomy: The Role of Data-Centric AI in Transformer-Based
  Time Series Forecasting
Survey and Taxonomy: The Role of Data-Centric AI in Transformer-Based Time Series Forecasting
Jingjing Xu
Caesar Wu
Yuan-Fang Li
Grégoire Danoy
Pascal Bouvry
AI4TS
37
1
0
29 Jul 2024
DAM: Towards A Foundation Model for Time Series Forecasting
DAM: Towards A Foundation Model for Time Series Forecasting
L. N. Darlow
Qiwen Deng
Ahmed Hassan
Martin Asenov
Rajkarn Singh
Artjom Joosen
Adam Barker
Amos Storkey
AI4TS
AI4CE
42
3
0
25 Jul 2024
SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU
  Networks
SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks
Xiaotong Sun
Peijie Qiu
Shengfan Zhang
OffRL
31
0
0
19 Jul 2024
Omni-Dimensional Frequency Learner for General Time Series Analysis
Omni-Dimensional Frequency Learner for General Time Series Analysis
Xianing Chen.Hanting Chen
Hanting Chen
Hailin Hu
AI4TS
37
0
0
15 Jul 2024
Macroeconomic Forecasting with Large Language Models
Macroeconomic Forecasting with Large Language Models
Andrea Carriero
Davide Pettenuzzo
Shubhranshu Shekhar
51
4
0
01 Jul 2024
Addressing Prediction Delays in Time Series Forecasting: A Continuous
  GRU Approach with Derivative Regularization
Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization
Sheo Yon Jhin
Seojin Kim
Noseong Park
AI4TS
31
3
0
29 Jun 2024
Scalable Artificial Intelligence for Science: Perspectives, Methods and
  Exemplars
Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars
Wesley Brewer
Aditya Kashi
Sajal Dash
A. Tsaris
Junqi Yin
Mallikarjun Shankar
Feiyi Wang
43
0
0
24 Jun 2024
Conformal time series decomposition with component-wise exchangeability
Conformal time series decomposition with component-wise exchangeability
Derck W. E. Prinzhorn
Thijmen Nijdam
Putri A. van der Linden
Alexander Timans
43
2
0
24 Jun 2024
Placing Timely Refreshing Services at the Network Edge
Placing Timely Refreshing Services at the Network Edge
Xishuo Li
Shan Zhang
Hongbin Luo
Xiao Ma
Junyi He
35
3
0
24 Jun 2024
HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting?
HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting?
Ivan Karpukhin
F. Shipilov
Andrey Savchenko
AI4TS
59
4
0
20 Jun 2024
A Survey of Large Language Models for Financial Applications: Progress,
  Prospects and Challenges
A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges
Yuqi Nie
Yaxuan Kong
Xiaowen Dong
John M. Mulvey
H. Vincent Poor
Qingsong Wen
Stefan Zohren
AIFin
45
42
0
15 Jun 2024
Time-Series Forecasting for Out-of-Distribution Generalization Using
  Invariant Learning
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning
Haoxin Liu
Harshavardhan Kamarthi
Lingkai Kong
Zhiyuan Zhao
Chao Zhang
B. Aditya Prakash
OODD
OOD
AI4TS
46
8
0
13 Jun 2024
Applications of Explainable artificial intelligence in Earth system
  science
Applications of Explainable artificial intelligence in Earth system science
Feini Huang
Shijie Jiang
Lu Li
Yongkun Zhang
Ye Zhang
Ruqing Zhang
Qingliang Li
Danxi Li
Wei Shangguan
Yongjiu Dai
38
2
0
12 Jun 2024
Chimera: Effectively Modeling Multivariate Time Series with
  2-Dimensional State Space Models
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models
Ali Behrouz
Michele Santacatterina
Ramin Zabih
Mamba
AI4TS
54
4
0
06 Jun 2024
A Combination Model Based on Sequential General Variational Mode
  Decomposition Method for Time Series Prediction
A Combination Model Based on Sequential General Variational Mode Decomposition Method for Time Series Prediction
Wei Chen
Yuanyuan Yang
Jianyu Liu
25
0
0
05 Jun 2024
Spatiotemporal Forecasting Meets Efficiency: Causal Graph Process Neural
  Networks
Spatiotemporal Forecasting Meets Efficiency: Causal Graph Process Neural Networks
Aref Einizade
Fragkiskos D. Malliaros
Jhony H. Giraldo
AI4TS
40
0
0
29 May 2024
Dominant Shuffle: A Simple Yet Powerful Data Augmentation for
  Time-series Prediction
Dominant Shuffle: A Simple Yet Powerful Data Augmentation for Time-series Prediction
Kai Zhao
Zuojie He
A. Hung
Dan Zeng
AI4TS
49
1
0
26 May 2024
MambaTS: Improved Selective State Space Models for Long-term Time Series
  Forecasting
MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting
Xiuding Cai
Yaoyao Zhu
Xueyao Wang
Yu Yao
Mamba
AI4TS
38
7
0
26 May 2024
System Safety Monitoring of Learned Components Using Temporal Metric
  Forecasting
System Safety Monitoring of Learned Components Using Temporal Metric Forecasting
Sepehr Sharifi
Andrea Stocco
Lionel C. Briand
AI4TS
48
1
0
21 May 2024
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate
  Time Series Imputation
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation
Shunyang Zhang
Senzhang Wang
Hao Miao
Hao Chen
Changjun Fan
Jian Zhang
46
2
0
21 May 2024
Review of deep learning models for crypto price prediction:
  implementation and evaluation
Review of deep learning models for crypto price prediction: implementation and evaluation
Jingyang Wu
Xinyi Zhang
Fangyixuan Huang
Haochen Zhou
Rohtiash Chandra
37
3
0
19 May 2024
UniCL: A Universal Contrastive Learning Framework for Large Time Series
  Models
UniCL: A Universal Contrastive Learning Framework for Large Time Series Models
Jiawei Li
Jingshu Peng
Haoyang Li
Lei Chen
AI4TS
48
3
0
17 May 2024
Optimizing Sales Forecasts through Automated Integration of Market
  Indicators
Optimizing Sales Forecasts through Automated Integration of Market Indicators
Lina Döring
Felix Grumbach
Pascal Reusch
16
0
0
15 May 2024
Kolmogorov-Arnold Networks (KANs) for Time Series Analysis
Kolmogorov-Arnold Networks (KANs) for Time Series Analysis
Cristian J. Vaca-Rubio
Luis Blanco
Roberto Pereira
Marius Caus
AI4TS
13
97
0
14 May 2024
Forecasting with an N-dimensional Langevin Equation and a
  Neural-Ordinary Differential Equation
Forecasting with an N-dimensional Langevin Equation and a Neural-Ordinary Differential Equation
Antonio Malpica-Morales
M. Durán-Olivencia
S. Kalliadasis
AI4TS
21
1
0
12 May 2024
Persistent homology of featured time series data and its applications
Persistent homology of featured time series data and its applications
Eunwoo Heo
Jae-Hun Jung
37
0
0
08 May 2024
TimeMIL: Advancing Multivariate Time Series Classification via a
  Time-aware Multiple Instance Learning
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
Xiwen Chen
Peijie Qiu
Wenhui Zhu
Huayu Li
Hao Wang
Aristeidis Sotiras
Yalin Wang
Abolfazl Razi
AI4TS
37
7
0
06 May 2024
A Survey of Time Series Foundation Models: Generalizing Time Series
  Representation with Large Language Model
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model
Weiqi Zhang
Jiexia Ye
Ke Yi
Yongzi Yu
Ziyue Li
Jia Li
Fugee Tsung
AI4TS
AI4CE
45
22
0
03 May 2024
Forecasting the Forced van der Pol Equation with Frequent Phase Shifts
  Using Reservoir Computing
Forecasting the Forced van der Pol Equation with Frequent Phase Shifts Using Reservoir Computing
Sho Kuno
Hiroshi Kori
18
0
0
23 Apr 2024
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core
  Fusion
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
Lu Han
Xu-Yang Chen
Han-Jia Ye
De-Chuan Zhan
AI4TS
38
23
0
22 Apr 2024
High Significant Fault Detection in Azure Core Workload Insights
High Significant Fault Detection in Azure Core Workload Insights
Pranay Lohia
Laurent Boué
Sharath Ranganath
Vijay Srinivas Agneeswaran
AI4CE
21
1
0
14 Apr 2024
From Similarity to Superiority: Channel Clustering for Time Series
  Forecasting
From Similarity to Superiority: Channel Clustering for Time Series Forecasting
Jialin Chen
J. E. Lenssen
Aosong Feng
Weihua Hu
Matthias Fey
Leandros Tassiulas
J. Leskovec
Rex Ying
AI4TS
34
10
0
31 Mar 2024
Exploiting Individual Graph Structures to Enhance Ecological Momentary
  Assessment (EMA) Forecasting
Exploiting Individual Graph Structures to Enhance Ecological Momentary Assessment (EMA) Forecasting
Mandani Ntekouli
Gerasimos Spanakis
L. Waldorp
A. Roefs
24
0
0
28 Mar 2024
Addressing Concept Shift in Online Time Series Forecasting:
  Detect-then-Adapt
Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt
Yi-Fan Zhang
Weiqiu Chen
Zhaoyang Zhu
Dalin Qin
Liang Sun
Xue Wang
Qingsong Wen
Zhang Zhang
Liang Wang
Rong Jin
AI4TS
34
1
0
22 Mar 2024
Probabilistic Forecasting with Stochastic Interpolants and Föllmer
  Processes
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes
Yifan Chen
Mark Goldstein
Mengjian Hua
M. S. Albergo
Nicholas M. Boffi
Eric Vanden-Eijnden
AI4TS
33
16
0
20 Mar 2024
Previous
123456
Next