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README.md
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@@ -20,7 +20,7 @@ The Foundation Inference Model (`FIM`) is a neural recognition model designed fo
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FIM combines supervised learning on a synthetic dataset of MJPs with attention mechanisms, enabling robust inference for empirical processes with varying dimensionalities. It is the first generative zero-shot model for MJPs, offering broad applicability across domains such as molecular dynamics, ion channel dynamics, and discrete flashing ratchet systems.
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[](https://github.com/
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[](https://arxiv.org/abs/2406.06419)
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## Intended Use
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FIM combines supervised learning on a synthetic dataset of MJPs with attention mechanisms, enabling robust inference for empirical processes with varying dimensionalities. It is the first generative zero-shot model for MJPs, offering broad applicability across domains such as molecular dynamics, ion channel dynamics, and discrete flashing ratchet systems.
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[](https://github.com/FIM4Science/OpenFIM)
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[](https://arxiv.org/abs/2406.06419)
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## Intended Use
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