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_gsocprojects/2025/project_SYMMETRY.md

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layout: default
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logo: SYMMETRY.png
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description: |
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Recent success in the domain of unsupervised and semi-supervised learning has been lately a pivotal factor for development of Physics Aware and Symmetry Aware Machine Learning techniques where a model learns the symmetry of a dataset as a meta task and ends up learning the physics through the same.
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This project will focus on ways to learn the symmetries using semi-supervised approaches using CMS data.
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Recent success in the domain of unsupervised and semi-supervised learning has been lately a pivotal factor for development of Physics Aware and Symmetry Aware Machine Learning techniques where a model learns the symmetry of a dataset as a meta task and ends up learning the physics through the same. This project will focus on ways to learn the symmetries using semi-supervised approaches using CMS data.
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{% include gsoc_project.ext %}

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