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2004.13408
Cited By

Time Series Forecasting With Deep Learning: A Survey

v1v2 (latest)

Time Series Forecasting With Deep Learning: A Survey

28 April 2020

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

50 / 359 papers shown

MSTN: A Lightweight and Fast Model for General TimeSeries Analysis

MSTN: A Lightweight and Fast Model for General TimeSeries Analysis

Sumit S Shevtekar

Chandresh K Maurya

210

0

0

25 Nov 2025

WaveTuner: Comprehensive Wavelet Subband Tuning for Time Series Forecasting

WaveTuner: Comprehensive Wavelet Subband Tuning for Time Series Forecasting

195

0

0

24 Nov 2025

TimePre: Bridging Accuracy, Efficiency, and Stability in Probabilistic Time-Series Forecasting

TimePre: Bridging Accuracy, Efficiency, and Stability in Probabilistic Time-Series Forecasting

...

Michael R. Zielewski

Kazunori D Yamada

Fangzhou Lin

225

1

0

23 Nov 2025

Memory-DD: A Low-Complexity Dendrite-Inspired Neuron for Temporal Prediction Tasks

Memory-DD: A Low-Complexity Dendrite-Inspired Neuron for Temporal Prediction Tasks

97

0

0

20 Nov 2025

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

264

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

300

2

0

10 Nov 2025

Predicting the Future by Retrieving the Past

Predicting the Future by Retrieving the Past

206

0

0

08 Nov 2025

Adversarial Spatio-Temporal Attention Networks for Epileptic Seizure Forecasting

Adversarial Spatio-Temporal Attention Networks for Epileptic Seizure Forecasting

Wesley M. Gifford

144

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

262

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

202

0

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

217

0

0

24 Oct 2025

SEMPO: Lightweight Foundation Models for Time Series Forecasting

SEMPO: Lightweight Foundation Models for Time Series Forecasting

192

1

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

208

0

0

22 Oct 2025

LLM-as-a-Prophet: Understanding Predictive Intelligence with Prophet Arena

LLM-as-a-Prophet: Understanding Predictive Intelligence with Prophet Arena

185

5

0

20 Oct 2025

Benchmarking Probabilistic Time Series Forecasting Models on Neural Activity

Benchmarking Probabilistic Time Series Forecasting Models on Neural Activity

Alexander E. Ladd

Eric Shea-Brown

Nicholas A. Steinmetz

230

1

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

144

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

146

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

270

5

0

14 Oct 2025

How Patterns Dictate Learnability in Sequential Data

How Patterns Dictate Learnability in Sequential Data

187

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

119

0

0

10 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

Lotfi Ben Othmane

139

0

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

Yongsheng Huang

Changsheng Zhang

175

4

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

242

2

0

08 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

John Paparrizos

169

3

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

151

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

Liudmila Prokhorenkova

162

0

0

02 Oct 2025

Entropy Guided Dynamic Patch Segmentation for Time Series Transformers

Entropy Guided Dynamic Patch Segmentation for Time Series Transformers

Sachith Abeywickrama

Emadeldeen Eldele

223

0

0

30 Sep 2025

Echo Flow Networks

Echo Flow Networks

229

0

0

28 Sep 2025

Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting

Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting

213

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

234

2

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

Jarosław A. Chudziak

178

3

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

...

266

11

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

138

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

306

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

Duane S. Boning

239

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

Alexandru Topîrceanu

111

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

Asnat Greenstein-Messica

83

0

0

21 Aug 2025

ELATE: Evolutionary Language model for Automated Time-series Engineering

ELATE: Evolutionary Language model for Automated Time-series Engineering

Danial Dervovic

Michael Cashmore

135

1

0

20 Aug 2025

A Dual-Attention Graph Network for fMRI Data Classification

A Dual-Attention Graph Network for fMRI Data Classification

Zeinab Davarani

Mehran Safayani

121

0

0

18 Aug 2025

Stochastic dynamics learning with state-space systems

Stochastic dynamics learning with state-space systems

Juan-Pablo Ortega

Florian Rossmannek

197

3

0

11 Aug 2025

Adaptive Fine-Tuning via Pattern Specialization for Deep Time Series Forecasting

Adaptive Fine-Tuning via Pattern Specialization for Deep Time Series Forecasting

Abdulaziz Al-Ademi

180

0

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

130

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

174

3

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

Partha Pratim Mandal

124

3

0

07 Aug 2025

FeDaL: Federated Dataset Learning for General Time Series Foundation Models

FeDaL: Federated Dataset Learning for General Time Series Foundation Models

Jing Jiang

FedML DD AI4TS AI4CE TTA

269

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

257

3

0

31 Jul 2025

Measuring Time-Series Dataset Similarity using Wasserstein Distance

Measuring Time-Series Dataset Similarity using Wasserstein Distance

193

1

0

29 Jul 2025

Watermarking Large Language Model-based Time Series Forecasting

Watermarking Large Language Model-based Time Series Forecasting

Nguyen Quoc Viet Hung

209

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

192

1

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

495

1

0

20 Jul 2025

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