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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 / 353 papers shown
Title
TimeFlow: Towards Stochastic-Aware and Efficient Time Series Generation via Flow Matching Modeling
TimeFlow: Towards Stochastic-Aware and Efficient Time Series Generation via Flow Matching Modeling
He Panjing
Cheng Mingyue
Li Li
Zhang XiaoHan
AI4TS
16
0
0
11 Nov 2025
The Few Govern the Many:Unveiling Few-Layer Dominance for Time Series Models
The Few Govern the Many:Unveiling Few-Layer Dominance for Time Series Models
Xin Qiu
Junlong Tong
Yirong Sun
Yunpu Ma
Xiaoyu Shen
AI4TS
80
0
0
10 Nov 2025
Predicting the Future by Retrieving the Past
Predicting the Future by Retrieving the Past
Dazhao Du
Tao Han
Song Guo
AI4TS
56
0
0
08 Nov 2025
Adversarial Spatio-Temporal Attention Networks for Epileptic Seizure Forecasting
Adversarial Spatio-Temporal Attention Networks for Epileptic Seizure Forecasting
Zan Li
K. Yeo
Wesley M. Gifford
L. Marcuse
M. Fields
B. Yener
28
0
0
03 Nov 2025
Effective Series Decomposition and Components Learning for Time Series Generation
Effective Series Decomposition and Components Learning for Time Series Generation
Zixuan Ma
Chenfeng Huang
DiffMAI4TS
87
0
0
02 Nov 2025
NetBurst: Event-Centric Forecasting of Bursty, Intermittent Time Series
NetBurst: Event-Centric Forecasting of Bursty, Intermittent Time Series
Satyandra Guthula
Jaber Daneshamooz
Charles Fleming
Ashish Kundu
W. Willinger
Arpit Gupta
AI4TS
88
1
0
25 Oct 2025
Unified Implementations of Recurrent Neural Networks in Multiple Deep Learning Frameworks
Unified Implementations of Recurrent Neural Networks in Multiple Deep Learning Frameworks
Francesco Martinuzzi
AI4TS
76
0
0
24 Oct 2025
SEMPO: Lightweight Foundation Models for Time Series Forecasting
SEMPO: Lightweight Foundation Models for Time Series Forecasting
Hui He
Kun Yi
Yuanchi Ma
Qi Zhang
ZhenDong Niu
Guansong Pang
AI4TS
48
0
0
22 Oct 2025
Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency
Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency
Renzhao Liang
Sizhe Xu
Chenggang Xie
Jingru Chen
Feiyang Ren
Shu Yang
Takahiro Yabe
AI4TS
32
0
0
22 Oct 2025
Benchmarking Probabilistic Time Series Forecasting Models on Neural Activity
Benchmarking Probabilistic Time Series Forecasting Models on Neural Activity
Ziyu Lu
Anna J. Li
Alexander E. Ladd
Pascha Matveev
Aditya Deole
Eric Shea-Brown
J. Nathan Kutz
Nicholas A. Steinmetz
BDLAI4TS
114
0
0
20 Oct 2025
LLM-as-a-Prophet: Understanding Predictive Intelligence with Prophet Arena
LLM-as-a-Prophet: Understanding Predictive Intelligence with Prophet Arena
Qingchuan Yang
Simon Mahns
Sida Li
Anri Gu
Jibang Wu
Haifeng Xu
AI4TS
48
0
0
20 Oct 2025
Online Kernel Dynamic Mode Decomposition for Streaming Time Series Forecasting with Adaptive Windowing
Online Kernel Dynamic Mode Decomposition for Streaming Time Series Forecasting with Adaptive Windowing
Christopher Salazar
Krithika Manohar
A. Banerjee
AI4TS
28
0
0
17 Oct 2025
Predicting the Unpredictable: Reproducible BiLSTM Forecasting of Incident Counts in the Global Terrorism Database (GTD)
Predicting the Unpredictable: Reproducible BiLSTM Forecasting of Incident Counts in the Global Terrorism Database (GTD)
Oluwasegun Adegoke
AI4TS
40
0
0
16 Oct 2025
CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling
CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling
Beibu Li
Qichao Shentu
Yang Shu
Hui Zhang
Ming Li
Ning Jin
Bin Yang
Chenjuan Guo
AI4TS
44
1
0
14 Oct 2025
How Patterns Dictate Learnability in Sequential Data
How Patterns Dictate Learnability in Sequential Data
Mario Morawski
Anais Despres
Rémi Rehm
AI4TS
44
0
0
12 Oct 2025
Variability Aware Recursive Neural Network (VARNN): A Residual-Memory Model for Capturing Temporal Deviation in Sequence Regression Modeling
Variability Aware Recursive Neural Network (VARNN): A Residual-Memory Model for Capturing Temporal Deviation in Sequence Regression Modeling
Haroon Gharwi
Kai Shu
AI4TS
24
0
0
10 Oct 2025
MLLM4TS: Leveraging Vision and Multimodal Language Models for General Time-Series Analysis
MLLM4TS: Leveraging Vision and Multimodal Language Models for General Time-Series Analysis
Qinghua Liu
Sam Heshmati
Zheda Mai
Zubin Abraham
John Paparrizos
Liu Ren
AI4TS
50
0
0
08 Oct 2025
Comparison of Fully Homomorphic Encryption and Garbled Circuit Techniques in Privacy-Preserving Machine Learning Inference
Comparison of Fully Homomorphic Encryption and Garbled Circuit Techniques in Privacy-Preserving Machine Learning Inference
Kalyan Cheerla
Lotfi Ben Othmane
Kirill Morozov
FedML
40
0
0
08 Oct 2025
A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking
A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking
Gal Fadlon
Idan Arbiv
Nimrod Berman
Omri Azencot
DiffMMedIm
57
2
0
08 Oct 2025
TimeFormer: Transformer with Attention Modulation Empowered by Temporal Characteristics for Time Series Forecasting
TimeFormer: Transformer with Attention Modulation Empowered by Temporal Characteristics for Time Series Forecasting
Zhipeng Liu
Peibo Duan
Xuan Tang
Baixin Li
Yongsheng Huang
Mingyang Geng
Changsheng Zhang
Bin Zhang
Binwu Wang
AI4TS
61
0
0
08 Oct 2025
Smart Contract Adoption under Discrete Overdispersed Demand: A Negative Binomial Optimization Perspective
Smart Contract Adoption under Discrete Overdispersed Demand: A Negative Binomial Optimization Perspective
Jinho Cha
Sahng-Min Han
Long Pham
25
0
0
07 Oct 2025
Fine-Grained Urban Traffic Forecasting on Metropolis-Scale Road Networks
Fine-Grained Urban Traffic Forecasting on Metropolis-Scale Road Networks
Fedor Velikonivtsev
Oleg Platonov
Gleb Bazhenov
Liudmila Prokhorenkova
AI4TS
32
0
0
02 Oct 2025
EntroPE: Entropy-Guided Dynamic Patch Encoder for Time Series Forecasting
EntroPE: Entropy-Guided Dynamic Patch Encoder for Time Series Forecasting
Sachith Abeywickrama
Emadeldeen Eldele
Ruibing Jin
Xiaoli Li
Chau Yuen
AI4TS
68
0
0
30 Sep 2025
Echo Flow Networks
Echo Flow Networks
Hongbo Liu
Jia Xu
AI4TS
40
0
0
28 Sep 2025
Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting
Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting
Yanfeng Yang
S. Chen
Pingping Hu
Zhaotong Shen
Yingjie Zhang
Zhuoran Sun
Shuai Li
Ziqi Chen
Kenji Fukumizu
DiffMAI4TS
59
0
0
25 Sep 2025
From Samples to Scenarios: A New Paradigm for Probabilistic Forecasting
From Samples to Scenarios: A New Paradigm for Probabilistic Forecasting
Xilin Dai
Zhijian Xu
Wanxu Cai
Qiang Xu
AI4TS
106
0
0
24 Sep 2025
DeltaHedge: A Multi-Agent Framework for Portfolio Options Optimization
DeltaHedge: A Multi-Agent Framework for Portfolio Options OptimizationPacific Asia Conference on Information Systems (PACIS), 2025
Feliks Bańka
Jarosław A. Chudziak
AIFin
64
1
0
16 Sep 2025
A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models
A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models
Ching Chang
Yidan Shi
Defu Cao
Wei Yang
Jeehyun Hwang
...
Jiacheng Pang
Wei-Yao Wang
Yan Liu
Wen-Chih Peng
Tien-Fu Chen
AI4TSLRM
113
1
0
15 Sep 2025
PLanTS: Periodicity-aware Latent-state Representation Learning for Multivariate Time Series
PLanTS: Periodicity-aware Latent-state Representation Learning for Multivariate Time Series
Jia Wang
X. Wang
Chi Zhang
AI4TSBDL
41
0
0
05 Sep 2025
AR-KAN: Autoregressive-Weight-Enhanced Kolmogorov-Arnold Network for Time Series Forecasting
AR-KAN: Autoregressive-Weight-Enhanced Kolmogorov-Arnold Network for Time Series Forecasting
Chen Zeng
Tiehang Xu
Qiao Wang
AI4TS
74
0
0
03 Sep 2025
RDIT: Residual-based Diffusion Implicit Models for Probabilistic Time Series Forecasting
RDIT: Residual-based Diffusion Implicit Models for Probabilistic Time Series Forecasting
Chih-Yu Lai
Yu-Chien Ning
Duane S. Boning
DiffMAI4TS
103
0
0
02 Sep 2025
Quantum-Optimized Selective State Space Model for Efficient Time Series Prediction
Quantum-Optimized Selective State Space Model for Efficient Time Series Prediction
Stefan-Alexandru Jura
M. Udrescu
Alexandru Topîrceanu
MambaAI4TS
40
0
0
29 Aug 2025
Enhancing Forecasting with a 2D Time Series Approach for Cohort-Based Data
Enhancing Forecasting with a 2D Time Series Approach for Cohort-Based Data
Yonathan Guttel
Orit Moradov
Nachi Lieder
Asnat Greenstein-Messica
AI4TS
29
0
0
21 Aug 2025
ELATE: Evolutionary Language model for Automated Time-series Engineering
ELATE: Evolutionary Language model for Automated Time-series Engineering
Andrew Murray
Danial Dervovic
Michael Cashmore
AI4TS
41
0
0
20 Aug 2025
A Dual-Attention Graph Network for fMRI Data Classification
A Dual-Attention Graph Network for fMRI Data Classification
Amirali Arbab
Zeinab Davarani
Mehran Safayani
36
0
0
18 Aug 2025
Adaptive Fine-Tuning via Pattern Specialization for Deep Time Series Forecasting
Adaptive Fine-Tuning via Pattern Specialization for Deep Time Series Forecasting
Amal Saadallah
Abdulaziz Al-Ademi
AI4TS
36
0
0
11 Aug 2025
Stochastic dynamics learning with state-space systems
Stochastic dynamics learning with state-space systems
Juan-Pablo Ortega
Florian Rossmannek
80
1
0
11 Aug 2025
TLCCSP: A Scalable Framework for Enhancing Time Series Forecasting with Time-Lagged Cross-Correlations
TLCCSP: A Scalable Framework for Enhancing Time Series Forecasting with Time-Lagged Cross-Correlations
Jianfei Wu
Wenmian Yang
Bingning Liu
Weijia Jia
AI4TS
40
0
0
09 Aug 2025
EnergyPatchTST: Multi-scale Time Series Transformers with Uncertainty Estimation for Energy Forecasting
EnergyPatchTST: Multi-scale Time Series Transformers with Uncertainty Estimation for Energy ForecastingInternational Conference on Intelligent Computing (ICIC), 2025
Wei Li
Zixin Wang
Qizheng Sun
Qixiang Gao
Fenglei Yang
AI4TS
24
0
0
07 Aug 2025
Salt-Rock Creep Deformation Forecasting Using Deep Neural Networks and Analytical Models for Subsurface Energy Storage Applications
Salt-Rock Creep Deformation Forecasting Using Deep Neural Networks and Analytical Models for Subsurface Energy Storage ApplicationsScientific Reports (Sci Rep), 2025
Pradeep Kumar Shukla
Tanujit Chakraborty
Mustafa Sari
Joel Sarout
Partha Pratim Mandal
AI4CE
20
0
0
07 Aug 2025
FeDaL: Federated Dataset Learning for Time Series Foundation Models
FeDaL: Federated Dataset Learning for Time Series Foundation Models
Shengchao Chen
Guodong Long
Jing Jiang
FedMLAI4TSAI4CE
145
0
0
06 Aug 2025
Towards Measuring and Modeling Geometric Structures in Time Series Forecasting via Image Modality
Towards Measuring and Modeling Geometric Structures in Time Series Forecasting via Image Modality
Mingyang Yu
Xiahui Guo
Peng Chen
Zhenkai Li
Yang Shu
AI4TS
67
1
0
31 Jul 2025
Measuring Time-Series Dataset Similarity using Wasserstein Distance
Measuring Time-Series Dataset Similarity using Wasserstein Distance
Hongjie Chen
Akshay Mehra
Josh Kimball
Ryan Rossi
AI4TS
53
0
0
29 Jul 2025
Watermarking Large Language Model-based Time Series Forecasting
Watermarking Large Language Model-based Time Series Forecasting
Wei Yuan
Chaoqun Yang
Yu Xing
Tong Chen
Nguyen Quoc Viet Hung
Hongzhi Yin
AI4TS
49
0
0
28 Jul 2025
A Contrastive Diffusion-based Network (CDNet) for Time Series Classification
A Contrastive Diffusion-based Network (CDNet) for Time Series Classification
Yaoyu Zhang
Chi-Guhn Lee
DiffM
76
0
0
28 Jul 2025
U-Cast: Learning Hierarchical Structures for High-Dimensional Time Series Forecasting
U-Cast: Learning Hierarchical Structures for High-Dimensional Time Series Forecasting
Juntong Ni
Shiyu Wang
Zewen Liu
Xiaoming Shi
Xinyue Zhong
Zhou Ye
Wei Jin
AI4TS
221
1
0
20 Jul 2025
Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow Matching
Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow Matching
Huibo Xu
Runlong Yu
Likang Wu
Xianquan Wang
Qi Liu
AI4TS
158
1
0
09 Jul 2025
AutoHFormer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction
AutoHFormer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction
Qianru Zhang
Honggang Wen
Ming Li
Dong Huang
Siu-Ming Yiu
Christian S. Jensen
Pietro Lio
AI4TS
92
2
0
19 Jun 2025
A Gravity-informed Spatiotemporal Transformer for Human Activity Intensity Prediction
A Gravity-informed Spatiotemporal Transformer for Human Activity Intensity Prediction
Yi-Fei Wang
Zhenghong Wang
Fan Zhang
Chengling Tang
Chaogui Kang
...
Sijie Ruan
W. Zhang
Yu Zheng
Philip S. Yu
Yu Liu
AI4CE
203
0
0
16 Jun 2025
Forecast-Then-Optimize Deep Learning Methods
Forecast-Then-Optimize Deep Learning Methods
Jinhang Jiang
Nan Wu
Ben Liu
Mei Feng
Xin Ji
Karthik Srinivasan
AI4TS
130
0
0
16 Jun 2025
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