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LICENSE

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MIT License
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Copyright (c) 2025 Eduard Allakhverdov
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.

README.md

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[![](https://img.shields.io/badge/Project_page-blue)](https://fusionbrainlab.github.io/feature_analysis/) [![arXiv](https://img.shields.io/badge/arXiv-2506.07803-b31b1b.svg)](https://arxiv.org/abs/2506.07803) ![GitHub License](https://img.shields.io/github/license/FusionBrainLab/feature_analysis)
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# Quick Start
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A quick start guide and additional materials are available on our [**project page**](https://fusionbrainlab.github.io/feature_analysis/). To learn more, refer to our [**arXiv preprint**](https://arxiv.org/abs/2506.07803).
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---
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## Installation
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To set up the environment, navigate to the root directory containing `environment.yml` and run:
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</figure>
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</div>
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## Linear Transformation Learning For B Channel Suppression
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To study linear transformations in feature space:
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<figcaption>Colorization in Feature Space</figcaption>
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</div>
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</figure>
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</div>
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</div>
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## Citation
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If you find this work useful, please cite it as follows:
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```bibtex
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@misc{allakhverdov2025imagereconstructiontoolfeature,
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title={Image Reconstruction as a Tool for Feature Analysis},
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author={Eduard Allakhverdov and Dmitrii Tarasov and Elizaveta Goncharova and Andrey Kuznetsov},
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year={2025},
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eprint={2506.07803},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2506.07803},
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}
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```

project/index.html

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</span>
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<!-- ArXiv abstract Link -->
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<!-- TODO: add arXiv link -->
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<span class="link-block">
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<a href="https://arxiv.org/abs/<ARXIV PAPER ID>" target="_blank"
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<a href="https://arxiv.org/abs/2506.07803" target="_blank"
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class="external-link button is-normal is-rounded is-dark">
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<span class="icon">
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<i class="ai ai-arxiv"></i>
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</span>
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<span>arXiv</span>
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<span>arXiv (abs)</span>
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</a>
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</span>
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<span class="link-block">
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<a href="https://arxiv.org/pdf/2506.07803" target="_blank"
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class="external-link button is-normal is-rounded is-dark">
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<span class="icon">
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<i class="ai ai-arxiv"></i>
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</span>
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<span>arXiv (pdf)</span>
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</section>
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<!-- TODO: add citation -->
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<!--BibTex citation -->
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<section class="section" id="BibTeX">
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<div class="container is-max-desktop content">
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<h2 class="title">BibTeX</h2>
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<pre><code>@article{feature_analysis,
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title={Image Reconstruction as a Tool for Feature Analysis},
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author={Allakhverdov, Eduard and Tarasov, Dmitrii and Goncharova, Elizaveta and Kuznetsov, Andrey},
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journal={arXiv preprint},
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year={2025}
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<pre><code>@misc{allakhverdov2025imagereconstructiontoolfeature,
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title={Image Reconstruction as a Tool for Feature Analysis},
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author={Eduard Allakhverdov and Dmitrii Tarasov and Elizaveta Goncharova and Andrey Kuznetsov},
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year={2025},
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eprint={2506.07803},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2506.07803},
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}</code></pre>
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</section>

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