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Time Series Forecasting
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  # DynaMix
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- [![arXiv](https://img.shields.io/badge/arXiv-2505.13192-b31b1b.svg)](https://arxiv.org/abs/2505.13192)
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  DynaMix is a foundation model for zero-shot inference of dynamical systems that preserves long-term statistics. Unlike traditional approaches that require retraining for each new system, DynaMix provides context driven generalization to unseen dynamical systems.
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  # DynaMix
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+ [![arXiv](https://img.shields.io/badge/arXiv-2505.13192-b31b1b.svg)](https://arxiv.org/abs/2505.13192) (accepted NeurIPS 2025 paper)
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  DynaMix is a foundation model for zero-shot inference of dynamical systems that preserves long-term statistics. Unlike traditional approaches that require retraining for each new system, DynaMix provides context driven generalization to unseen dynamical systems.
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