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README.md

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# TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
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# TimeGen: Generic Time Series Generation for Real-World Applications
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## Papers
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- [TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts](https://arxiv.org/pdf/2501.05403)
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- [Controllable Financial Market Generation with Diffusion Guided Meta Agent](https://arxiv.org/abs/2408.12991)
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## Overview
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Time series generation is a crucial task for many applications, including data augmentation, forecasting, and privacy-preserving data synthesis. Real-world scenarios often require generating time series data that aligns with given examples. **TimeDP** is designed to address this challenge by learning from multiple domains and generating realistic time series samples based on domain-specific characteristics.
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![TimeDP framework overview.](./figures/timedp_overview-1.jpeg)
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## Papers
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- [TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts](https://arxiv.org/pdf/2501.05403)
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- [Controllable Financial Market Generation with Diffusion Guided Meta Agent](https://arxiv.org/abs/2408.12991)
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## Installation
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```bash
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