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  </p>
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  <h4 align="center">Autoencoders as Foundation Models for 3D PDEs with Online Learning</h4>
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  <p align="center">
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- <a href="https://arxiv.org/abs/2408.11104">
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- <img src="https://img.shields.io/badge/arXiv-2408.11104-b31b1b?logo=arxiv" alt="Read on arXiv"/>
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  </a>
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  </a>
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  <a href="https://github.com/tum-pbs/Tadpole">
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  (3) Tadpole is able to process multiple downstream tasks, including autoencoding, dynamics prediction, and generative modeling.
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- For more details, please refer to our [research paper](https://arxiv.org/abs/2408.11104):
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  ## Installation and Loading Pre-trained Weights
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  </p>
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  <h4 align="center">Autoencoders as Foundation Models for 3D PDEs with Online Learning</h4>
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  <p align="center">
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+ <a href="https://arxiv.org/abs/2605.15284">
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+ <img src="https://img.shields.io/badge/arXiv-2605.15284-b31b1b?logo=arxiv" alt="Read on arXiv"/>
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  </a>
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  </a>
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  <a href="https://github.com/tum-pbs/Tadpole">
 
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  (3) Tadpole is able to process multiple downstream tasks, including autoencoding, dynamics prediction, and generative modeling.
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+ For more details, please refer to our [research paper](https://arxiv.org/abs/2605.15284):
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  ## Installation and Loading Pre-trained Weights
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