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- Check code at: [https://github.com/SerezD/mi_ml_gen](https://github.com/SerezD/mi_ml_gen)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ pipeline_tag: image-feature-extraction
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+ ---
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+
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+ # A Mutual Information Perspective on Multiple Latent Variable Generative Models for Positive View Generation
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+
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+ This repository contains the official implementation for the paper [A Mutual Information Perspective on Multiple Latent Variable Generative Models for Positive View Generation](https://huggingface.co/papers/2501.13718).
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+
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+ ## Links
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+ - **Paper:** [https://huggingface.co/papers/2501.13718](https://huggingface.co/papers/2501.13718)
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+ - **Project Page (TMLR):** [https://openreview.net/forum?id=uaj8ZL2PtK](https://openreview.net/forum?id=uaj8ZL2PtK)
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+ - **Code:** [https://github.com/SerezD/mi_ml_gen](https://github.com/SerezD/mi_ml_gen)
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+
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+ ## Sample Usage
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+
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+ Refer to [https://github.com/SerezD/mi_ml_gen/blob/main/readme.md](https://github.com/SerezD/mi_ml_gen/blob/main/readme.md) for more information.
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+
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+ ## Citation
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+ ```bibtex
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+ @article{
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+ serez2025a,
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+ title={A Mutual Information Perspective on Multiple Latent Variable Generative Models for Positive View Generation},
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+ author={Dario Serez and Marco Cristani and Alessio Del Bue and Vittorio Murino and Pietro Morerio},
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+ journal={Transactions on Machine Learning Research},
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+ issn={2835-8856},
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+ year={2025},
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+ url={https://openreview.net/forum?id=uaj8ZL2PtK},
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+ note={}
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+ }
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+ ```