"Generative Models for Financial Time Series Data: Enhancing Signal-to-Noise Ratio and Addressing Data Scarcity in A-Share Market
Fuente:
arXiv
Enregistré dans:
| Auteur principal: | Che, Guangming |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation
par: Wang, Wenxuan, et autres
Publié: (2025)
par: Wang, Wenxuan, et autres
Publié: (2025)
Meta-learning to Address Data Shift in Time Series Classification
par: Myren, Samuel, et autres
Publié: (2026)
par: Myren, Samuel, et autres
Publié: (2026)
Synthetic Homes: A Multimodal Generative AI Pipeline for Residential Building Data Generation under Data Scarcity
par: Eshbaugh, Jackson, et autres
Publié: (2025)
par: Eshbaugh, Jackson, et autres
Publié: (2025)
Synthetic Series-Symbol Data Generation for Time Series Foundation Models
par: Wang, Wenxuan, et autres
Publié: (2025)
par: Wang, Wenxuan, et autres
Publié: (2025)
Scalable Numerical Embeddings for Multivariate Time Series: Enhancing Healthcare Data Representation Learning
par: Huang, Chun-Kai, et autres
Publié: (2024)
par: Huang, Chun-Kai, et autres
Publié: (2024)
Revealing Modular Gradient Noise Imbalance in LLMs: Calibrating Adam via Signal-to-Noise Ratio
par: Wen, Ziqing, et autres
Publié: (2026)
par: Wen, Ziqing, et autres
Publié: (2026)
A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions
par: Yu, Zhiyin, et autres
Publié: (2026)
par: Yu, Zhiyin, et autres
Publié: (2026)
Diffusion Transformers for Tabular Data Time Series Generation
par: Garuti, Fabrizio, et autres
Publié: (2025)
par: Garuti, Fabrizio, et autres
Publié: (2025)
Extending Tabular Denoising Diffusion Probabilistic Models for Time-Series Data Generation
par: Dobhal, Umang, et autres
Publié: (2026)
par: Dobhal, Umang, et autres
Publié: (2026)
Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting
par: Nochumsohn, Liran, et autres
Publié: (2024)
par: Nochumsohn, Liran, et autres
Publié: (2024)
Beyond the Generative Learning Trilemma: Generative Model Assessment in Data Scarcity Domains
par: Salmè, Marco, et autres
Publié: (2025)
par: Salmè, Marco, et autres
Publié: (2025)
Leveraging Image Generators to Address Training Data Scarcity: The Gen4Regen Dataset for Forest Regeneration Mapping
par: Jeanson, Gabriel, et autres
Publié: (2026)
par: Jeanson, Gabriel, et autres
Publié: (2026)
DELPHYNE: A Pre-Trained Model for General and Financial Time Series
par: Ding, Xueying, et autres
Publié: (2025)
par: Ding, Xueying, et autres
Publié: (2025)
Enhancing Mean-Reverting Time Series Prediction with Gaussian Processes: Functional and Augmented Data Structures in Financial Forecasting
par: Tondapu, Narayan
Publié: (2024)
par: Tondapu, Narayan
Publié: (2024)
SPEAR: Soft Prompt Enhanced Anomaly Recognition for Time Series Data
par: Wei, Hanzhe, et autres
Publié: (2025)
par: Wei, Hanzhe, et autres
Publié: (2025)
Lightweight Time Series Data Valuation on Time Series Foundation Models via In-Context Finetuning
par: Wu, Shunyu, et autres
Publié: (2025)
par: Wu, Shunyu, et autres
Publié: (2025)
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data
par: Yang, Yiyuan, et autres
Publié: (2024)
par: Yang, Yiyuan, et autres
Publié: (2024)
ANT: Adaptive Noise Schedule for Time Series Diffusion Models
par: Lee, Seunghan, et autres
Publié: (2024)
par: Lee, Seunghan, et autres
Publié: (2024)
Are Large Language Models Useful for Time Series Data Analysis?
par: Tang, Francis, et autres
Publié: (2024)
par: Tang, Francis, et autres
Publié: (2024)
IdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models?
par: Wang, Hua, et autres
Publié: (2025)
par: Wang, Hua, et autres
Publié: (2025)
Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction
par: Zhai, Xinlong, et autres
Publié: (2025)
par: Zhai, Xinlong, et autres
Publié: (2025)
Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility
par: Agrawal, Rishabh
Publié: (2025)
par: Agrawal, Rishabh
Publié: (2025)
A Comparative Study on How Data Normalization Affects Zero-Shot Generalization in Time Series Foundation Models
par: Ahmed, Ihab, et autres
Publié: (2025)
par: Ahmed, Ihab, et autres
Publié: (2025)
KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators
par: Singh, Ashutosh, et autres
Publié: (2024)
par: Singh, Ashutosh, et autres
Publié: (2024)
Enhancing Bagging Ensemble Regression with Data Integration for Time Series-Based Diabetes Prediction
par: Ngo, Vuong M., et autres
Publié: (2025)
par: Ngo, Vuong M., et autres
Publié: (2025)
Semiconductor Industry Trend Prediction with Event Intervention Based on LSTM Model in Sentiment-Enhanced Time Series Data
par: Yen, Wei-hsiang, et autres
Publié: (2025)
par: Yen, Wei-hsiang, et autres
Publié: (2025)
Tailored Architectures for Time Series Forecasting: Evaluating Deep Learning Models on Gaussian Process-Generated Data
par: Hankemeier, Victoria, et autres
Publié: (2025)
par: Hankemeier, Victoria, et autres
Publié: (2025)
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach
par: Tsoumplekas, Georgios, et autres
Publié: (2024)
par: Tsoumplekas, Georgios, et autres
Publié: (2024)
TSFMAudit: Data Contamination Auditing in Forecasting Time Series Foundation Models
par: Li, Hongkai, et autres
Publié: (2026)
par: Li, Hongkai, et autres
Publié: (2026)
Hindsight Preference Optimization for Financial Time Series Advisory
par: Cui, Yanwei, et autres
Publié: (2026)
par: Cui, Yanwei, et autres
Publié: (2026)
FinSTaR: Towards Financial Reasoning with Time Series Reasoning Models
par: Lee, Seunghan, et autres
Publié: (2026)
par: Lee, Seunghan, et autres
Publié: (2026)
BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting
par: Wang, Weiyan, et autres
Publié: (2025)
par: Wang, Weiyan, et autres
Publié: (2025)
KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection
par: Liang, Zhiyu, et autres
Publié: (2025)
par: Liang, Zhiyu, et autres
Publié: (2025)
Generative Pre-Training of Time-Series Data for Unsupervised Fault Detection in Semiconductor Manufacturing
par: Lee, Sewoong, et autres
Publié: (2023)
par: Lee, Sewoong, et autres
Publié: (2023)
Working Memory Constraints Scaffold Learning in Transformers under Data Scarcity
par: Madhyastha, Pranava, et autres
Publié: (2026)
par: Madhyastha, Pranava, et autres
Publié: (2026)
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
par: Taga, Ege Onur, et autres
Publié: (2025)
par: Taga, Ege Onur, et autres
Publié: (2025)
PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes
par: Zhou, Yiming, et autres
Publié: (2026)
par: Zhou, Yiming, et autres
Publié: (2026)
CausalPlayground: Addressing Data-Generation Requirements in Cutting-Edge Causality Research
par: Sauter, Andreas W M, et autres
Publié: (2024)
par: Sauter, Andreas W M, et autres
Publié: (2024)
FinCast: A Foundation Model for Financial Time-Series Forecasting
par: Zhu, Zhuohang, et autres
Publié: (2025)
par: Zhu, Zhuohang, et autres
Publié: (2025)
Measuring Pre-training Data Quality without Labels for Time Series Foundation Models
par: Wen, Songkang, et autres
Publié: (2024)
par: Wen, Songkang, et autres
Publié: (2024)
Documents similaires
-
Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation
par: Wang, Wenxuan, et autres
Publié: (2025) -
Meta-learning to Address Data Shift in Time Series Classification
par: Myren, Samuel, et autres
Publié: (2026) -
Synthetic Homes: A Multimodal Generative AI Pipeline for Residential Building Data Generation under Data Scarcity
par: Eshbaugh, Jackson, et autres
Publié: (2025) -
Synthetic Series-Symbol Data Generation for Time Series Foundation Models
par: Wang, Wenxuan, et autres
Publié: (2025) -
Scalable Numerical Embeddings for Multivariate Time Series: Enhancing Healthcare Data Representation Learning
par: Huang, Chun-Kai, et autres
Publié: (2024)