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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
IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction
IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction
Yifan Zhou
Yibo Wang
Chao Shang
AI4TS
42
0
0
09 May 2025
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking
Muyao Zhong
Yushi Lin
Peng Yang
AI4TS
51
0
0
04 May 2025
D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams
D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams
Shingo Higashiguchi
Yasuko Matsubara
Koki Kawabata
Taichi Murayama
Yasushi Sakurai
AI4TS
31
0
0
01 May 2025
Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting
Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting
Chengsen Wang
Q. Qi
J. Wang
Haifeng Sun
Zirui Zhuang
J. Liao
AI4TS
45
0
0
01 May 2025
MMformer with Adaptive Transferable Attention: Advancing Multivariate Time Series Forecasting for Environmental Applications
MMformer with Adaptive Transferable Attention: Advancing Multivariate Time Series Forecasting for Environmental Applications
Ning Xin
Jionglong Su
Md Maruf Hasan
AI4TS
24
0
0
18 Apr 2025
Representation Learning for Tabular Data: A Comprehensive Survey
Representation Learning for Tabular Data: A Comprehensive Survey
Jun-Peng Jiang
Si-Yang Liu
Hao-Run Cai
Qile Zhou
Han-Jia Ye
LMTD
46
0
0
17 Apr 2025
ms-Mamba: Multi-scale Mamba for Time-Series Forecasting
ms-Mamba: Multi-scale Mamba for Time-Series Forecasting
Yusuf Meric Karadag
Sinan Kalkan
Ipek Gursel Dino
Mamba
AI4TS
AI4CE
50
0
0
10 Apr 2025
Probabilistic QoS Metric Forecasting in Delay-Tolerant Networks Using Conditional Diffusion Models on Latent Dynamics
Probabilistic QoS Metric Forecasting in Delay-Tolerant Networks Using Conditional Diffusion Models on Latent Dynamics
Enming Zhang
Zheng Liu
Yu Xiang
Yanwen Qu
26
0
0
09 Apr 2025
Foundation Models for Time Series: A Survey
Foundation Models for Time Series: A Survey
Siva Rama Krishna Kottapalli
Karthik Hubli
Sandeep Chandrashekhara
Garima Jain
Sunayana Hubli
Gayathri Botla
Ramesh Doddaiah
AI4TS
AI4CE
27
0
0
05 Apr 2025
Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large Models
Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large Models
Hengyu Lin
AI4CE
26
0
0
04 Apr 2025
Adaptive Classification of Interval-Valued Time Series
Adaptive Classification of Interval-Valued Time Series
Wan Tian
Zhongfeng Qin
AI4TS
34
0
0
04 Apr 2025
Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting
Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting
Qingdi Yu
Zhiwei Cao
R. Wang
Zhen Yang
Lijun Deng
Min Hu
Yong Luo
Xin Zhou
AI4TS
47
0
0
27 Mar 2025
Comparative analysis and evaluation of ageing forecasting methods for semiconductor devices in online health monitoring
Comparative analysis and evaluation of ageing forecasting methods for semiconductor devices in online health monitoring
Adrian Villalobos
Iban Barrutia
Rafael Pena-Alzola
Tomislav Dragicevic
Jose I. Aizpurua
67
0
0
26 Mar 2025
Addressing Challenges in Time Series Forecasting: A Comprehensive Comparison of Machine Learning Techniques
Addressing Challenges in Time Series Forecasting: A Comprehensive Comparison of Machine Learning Techniques
Seyedeh Azadeh Fallah Mortezanejad
Ruochen Wang
AI4TS
70
0
0
26 Mar 2025
Towards Reliable Time Series Forecasting under Future Uncertainty: Ambiguity and Novelty Rejection Mechanisms
Towards Reliable Time Series Forecasting under Future Uncertainty: Ambiguity and Novelty Rejection Mechanisms
Ninghui Feng
Songning Lai
Xin Zhou
Jiayu Yang
Kunlong Feng
...
Zhangyi Hu
Yutao Yue
Yuxuan Liang
Boyu Wang
Hang Zhao
AI4TS
52
0
0
25 Mar 2025
Comparative Analysis of Deep Learning Models for Real-World ISP Network Traffic Forecasting
Comparative Analysis of Deep Learning Models for Real-World ISP Network Traffic Forecasting
Josef Koumar
Timotej Smoleň
Kamil Jeřábek
T. Čejka
AI4TS
52
0
0
20 Mar 2025
Temporal Encoding Strategies for Energy Time Series Prediction
Temporal Encoding Strategies for Energy Time Series Prediction
Aayam Bansal
Keertan Balaji
Zeus Lalani
AI4TS
41
0
0
19 Mar 2025
Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models
Xu Liu
Taha Aksu
Juncheng Liu
Qingsong Wen
Yuxuan Liang
Caiming Xiong
S.
Doyen Sahoo
Junnan Li
Chenghao Liu
AI4TS
45
0
0
14 Mar 2025
Probabilistic Forecasting via Autoregressive Flow Matching
Ahmed El-Gazzar
Marcel van Gerven
AI4TS
43
0
0
13 Mar 2025
Degradation Self-Supervised Learning for Lithium-ion Battery Health Diagnostics
J. C. Chen
53
0
0
11 Mar 2025
A Deep-Learning Iterative Stacked Approach for Prediction of Reactive Dissolution in Porous Media
Marcos Cirne
Hannah Menke
A. Abdellatif
Julien Maes
Florian Doster
A. Elsheikh
AI4CE
57
0
0
11 Mar 2025
FinTSBridge: A New Evaluation Suite for Real-world Financial Prediction with Advanced Time Series Models
Yanlong Wang
Jian Xu
Tiantian Gao
Hongkang Zhang
Shao-Lun Huang
Danny Dongning Sun
Xiao-Ping Zhang
AI4TS
44
0
0
10 Mar 2025
TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation
Chenghan Li
Mingchen Li
Ruisheng Diao
AI4TS
55
0
0
10 Mar 2025
Hardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA
Hiroshi Nakano
Krzysztof Blachut
K. Jeziorek
Piotr Wzorek
Manon Dampfhoffer
Thomas Mesquida
Hiroaki Nishi
T. Kryjak
Thomas Dalgaty
GNN
60
0
0
09 Mar 2025
Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement
Yaxuan Kong
Yiyuan Yang
Yoontae Hwang
Wenjie Du
Stefan Zohren
Zhangyang Wang
Ming Jin
Qingsong Wen
AI4TS
69
2
0
26 Feb 2025
ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series Forecasting
ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series Forecasting
Guoqi Yu
Yaoming Li
Juncheng Wang
Xiaoyu Guo
Angelica I. Aviles-Rivero
Tong Yang
Shujun Wang
AI4TS
44
0
0
24 Feb 2025
Lightweight Online Adaption for Time Series Foundation Model Forecasts
Lightweight Online Adaption for Time Series Foundation Model Forecasts
Thomas L. Lee
William Toner
Rajkarn Singh
Artjom Joosem
Martin Asenov
AI4TS
36
0
0
18 Feb 2025
Forecasting time series with constraints
Forecasting time series with constraints
Nathan Doumèche
Francis Bach
Éloi Bedek
Gérard Biau
Claire Boyer
Y. Goude
AI4TS
42
0
0
14 Feb 2025
SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms
SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms
Remi Genet
Hugo Inzirillo
89
3
0
13 Feb 2025
A Deep Inverse-Mapping Model for a Flapping Robotic Wing
A Deep Inverse-Mapping Model for a Flapping Robotic Wing
Hadar Sharvit
Raz Karl
Tsevi Beatus
52
0
0
13 Feb 2025
Koopman-Equivariant Gaussian Processes
Petar Bevanda
Max Beier
Armin Lederer
A. Capone
Stefan Sosnowski
Sandra Hirche
AI4TS
63
1
0
10 Feb 2025
Automatic selection of the best neural architecture for time series forecasting via multi-objective optimization and Pareto optimality conditions
Automatic selection of the best neural architecture for time series forecasting via multi-objective optimization and Pareto optimality conditions
Qianying Cao
Shanqing Liu
Alan John Varghese
Jérome Darbon
M. Triantafyllou
George Karniadakis
AI4TS
152
0
0
21 Jan 2025
An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework
Jihan Ghanim
M. Awad
AI4TS
47
2
0
03 Jan 2025
TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented
  Generation
TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented Generation
Silin Yang
Dong Wang
Haoqi Zheng
Ruochun Jin
RALM
AI4TS
77
2
0
21 Dec 2024
Spatio-Temporal Forecasting of PM2.5 via Spatial-Diffusion guided
  Encoder-Decoder Architecture
Spatio-Temporal Forecasting of PM2.5 via Spatial-Diffusion guided Encoder-Decoder Architecture
Malay Pandey
Vaishali Jain
Nimit Godhani
Sachchida Nand Tripathi
Piyush Rai
DiffM
AI4TS
AI4CE
70
0
0
18 Dec 2024
Learning Latent Spaces for Domain Generalization in Time Series
  Forecasting
Learning Latent Spaces for Domain Generalization in Time Series Forecasting
Songgaojun Deng
Maarten de Rijke
CML
AI4TS
OOD
BDL
66
0
0
15 Dec 2024
MDiFF: Exploiting Multimodal Score-based Diffusion Models for New
  Fashion Product Performance Forecasting
MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting
Andrea Avogaro
Luigi Capogrosso
Franco Fummi
Marco Cristani
DiffM
104
0
0
07 Dec 2024
Quantile deep learning models for multi-step ahead time series
  prediction
Quantile deep learning models for multi-step ahead time series prediction
Jimmy Cheung
Smruthi Rangarajan
Amelia Maddocks
Xizhe Chen
Rohitash Chandra
AI4TS
74
1
0
24 Nov 2024
Knowledge-enhanced Transformer for Multivariate Long Sequence Time-series Forecasting
Shubham Tanaji Kakde
Rony Mitra
Jasashwi Mandal
Manoj Kumar Tiwari
KELM
AI4TS
28
0
0
17 Nov 2024
FlowTS: Time Series Generation via Rectified Flow
FlowTS: Time Series Generation via Rectified Flow
Yang Hu
X. Wang
Lirong Wu
H. M. Zhang
Stan Z. Li
Sheng Wang
Tianlong Chen
Jiheng Zhang
Ziyun Li
Tianlong Chen
AI4TS
26
0
0
12 Nov 2024
FilterNet: Harnessing Frequency Filters for Time Series Forecasting
FilterNet: Harnessing Frequency Filters for Time Series Forecasting
Kun Yi
Jingru Fei
Qi Zhang
Hui He
Shufeng Hao
Defu Lian
Wei Fan
AI4TS
46
8
0
03 Nov 2024
FlexTSF: A Universal Forecasting Model for Time Series with Variable
  Regularities
FlexTSF: A Universal Forecasting Model for Time Series with Variable Regularities
Jingge Xiao
Yile Chen
Gao Cong
Wolfgang Nejdl
Simon Gottschalk
AI4TS
26
0
0
30 Oct 2024
Federated Time Series Generation on Feature and Temporally Misaligned
  Data
Federated Time Series Generation on Feature and Temporally Misaligned Data
Chenrui Fan
Zhi Wen Soi
Aditya Shankar
Abele Malan
Lydia Y. Chen
FedML
AI4TS
24
0
0
28 Oct 2024
Temporal Streaming Batch Principal Component Analysis for Time Series
  Classification
Temporal Streaming Batch Principal Component Analysis for Time Series Classification
Enshuo Yan
Huachuan Wang
Weihao Xia
30
0
0
28 Oct 2024
EEG-DIF: Early Warning of Epileptic Seizures through Generative
  Diffusion Model-based Multi-channel EEG Signals Forecasting
EEG-DIF: Early Warning of Epileptic Seizures through Generative Diffusion Model-based Multi-channel EEG Signals Forecasting
Zekun Jiang
Wei Dai
Qu Wei
Ziyuan Qin
Kang Li
Le Zhang
DiffM
MedIm
33
0
0
22 Oct 2024
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting
Guoqi Yu
Yaoming Li
Xiaoyu Guo
Dayu Wang
Zirui Liu
Shujun Wang
Tong Yang
AI4TS
110
0
0
22 Oct 2024
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
Can Chen
Gabriel Oliveira
Hossein Sharifi-Noghabi
Tristan Sylvain
AI4TS
26
1
0
21 Oct 2024
Revisited Large Language Model for Time Series Analysis through Modality
  Alignment
Revisited Large Language Model for Time Series Analysis through Modality Alignment
L. Zheng
Chang Dong
W. Zhang
Lin Yue
Miao Xu
Olaf Maennel
Weitong Chen
AI4TS
125
2
0
16 Oct 2024
Exploiting Memory-aware Q-distribution Prediction for Nuclear Fusion via
  Modern Hopfield Network
Exploiting Memory-aware Q-distribution Prediction for Nuclear Fusion via Modern Hopfield Network
Qingchuan Ma
Shiao Wang
Tong Zheng
Xiaodong Dai
Y. Wang
Qingquan Yang
Xiao Wang
16
1
0
11 Oct 2024
A Systematic Review of Edge Case Detection in Automated Driving:
  Methods, Challenges and Future Directions
A Systematic Review of Edge Case Detection in Automated Driving: Methods, Challenges and Future Directions
Saeed Rahmani
Sabine Rieder
Erwin de Gelder
Marcel Sonntag
Jorge Lorente Mallada
Sytze Kalisvaart
Vahid Hashemi
Simeon C. Calvert
39
0
0
11 Oct 2024
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