Cover Image

SeriesGAN: Time Series Generation via Adversarial and Autoregressive Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	EskandariNasab, MohammadReza, Hamdi, Shah Muhammad, Boubrahimi, Soukaina Filali
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation
by: EskandariNasab, MohammadReza, et al.
Published: (2025)

ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series Generation
by: EskandariNasab, MohammadReza, et al.
Published: (2024)

TIMED: Adversarial and Autoregressive Refinement of Diffusion-Based Time Series Generation
by: EskandariNasab, MohammadReza, et al.
Published: (2025)

Enhancing Multivariate Time Series-based Solar Flare Prediction with Multifaceted Preprocessing and Contrastive Learning
by: EskandariNasab, MohammadReza, et al.
Published: (2024)

SolarGPT-QA: A Domain-Adaptive Large Language Model for Educational Question Answering in Space Weather and Heliophysics
by: Chapagain, Santosh, et al.
Published: (2026)

Global Cross-Time Attention Fusion for Enhanced Solar Flare Prediction from Multivariate Time Series
by: Vural, Onur, et al.
Published: (2025)

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction
by: Vural, Onur, et al.
Published: (2024)

Contrastive Representation Learning for Predicting Solar Flares from Extremely Imbalanced Multivariate Time Series Data
by: Vural, Onur, et al.
Published: (2024)

M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps
by: Li, Peiyu, et al.
Published: (2024)

Motif-guided Time Series Counterfactual Explanations
by: Li, Peiyu, et al.
Published: (2022)

Advancing Hate Speech Detection with Transformers: Insights from the MetaHate
by: Chapagain, Santosh, et al.
Published: (2025)

Pruning Strategies for Backdoor Defense in LLMs
by: Chapagain, Santosh, et al.
Published: (2025)

Forest Proximities for Time Series
by: Shaw, Ben, et al.
Published: (2024)

Info-CELS: Informative Saliency Map Guided Counterfactual Explanation
by: Li, Peiyu, et al.
Published: (2024)

Source Code in Support of Solar Flare Prediction through Time Series Data Augmentation
by: Li, Peiyu, et al.
Published: (2025)

Interpretable Time Series Autoregression for Periodicity Quantification
by: Chen, Xinyu, et al.
Published: (2025)

SDA-GRIN for Adaptive Spatial-Temporal Multivariate Time Series Imputation
by: Eskandari, Amir, et al.
Published: (2024)

ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN
by: Bashar, Md Abul, et al.
Published: (2023)

An Adversarial Learning Approach to Irregular Time-Series Forecasting
by: Nam, Heejeong, et al.
Published: (2024)

AROpt: An Optimization Method for Autoregressive Time Series Forecasting
by: Li, Zheng, et al.
Published: (2026)

WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting
by: Lu, Jiecheng, et al.
Published: (2024)

Generative Modeling of Clinical Time Series via Latent Stochastic Differential Equations
by: Aslanimoghanloo, Muhammad, et al.
Published: (2025)

AutoHFormer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction
by: Zhang, Qianru, et al.
Published: (2025)

KAIROS: Unified Training for Universal Non-Autoregressive Time Series Forecasting
by: Ding, Kuiye, et al.
Published: (2025)

Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting
by: Nematirad, Reza, et al.
Published: (2025)

DLGAN : Time Series Synthesis Based on Dual-Layer Generative Adversarial Networks
by: Hou, Xuan, et al.
Published: (2025)

TriShGAN: Enhancing Sparsity and Robustness in Multivariate Time Series Counterfactuals Explanation
by: Ma, Hongnan, et al.
Published: (2025)

High-Quality Synthetic Financial Time-Series using a GAN-Diffusion Framework
by: Masi, Giuseppe, et al.
Published: (2026)

Deep Learning for Time Series Forecasting: A Survey
by: Kong, Xiangjie, et al.
Published: (2025)

Synthetic Series-Symbol Data Generation for Time Series Foundation Models
by: Wang, Wenxuan, et al.
Published: (2025)

FlowTS: Time Series Generation via Rectified Flow
by: Hu, Yang, et al.
Published: (2024)

Generative Modeling of Networked Time-Series via Transformer Architectures
by: Elnady, Yusuf
Published: (2025)

Test Time Learning for Time Series Forecasting
by: Christou, Panayiotis, et al.
Published: (2024)

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models
by: Ge, Yunfeng, et al.
Published: (2025)

Lightweight Time Series Data Valuation on Time Series Foundation Models via In-Context Finetuning
by: Wu, Shunyu, et al.
Published: (2025)

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
by: Huang, Yu-Hao, et al.
Published: (2025)

Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks
by: Ramachandranpillai, Resmi, et al.
Published: (2024)

TimeSeriesGym: A Scalable Benchmark for (Time Series) Machine Learning Engineering Agents
by: Cai, Yifu, et al.
Published: (2025)

Chronos: Learning the Language of Time Series
by: Ansari, Abdul Fatir, et al.
Published: (2024)

Soft Contrastive Learning for Time Series
by: Lee, Seunghan, et al.
Published: (2023)