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@RAISELab-atUVA

RAISE-Lab

We study problems at the interface between Machine Learning, Optimization, and Privacy

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  1. lagrangian-dual-deep-learning lagrangian-dual-deep-learning Public

    Jupyter Notebook 21 3

  2. Projected-Diffusion Projected-Diffusion Public

    Official implementation of Constrained Synthesis with Projected Diffusion Models (NeurIPS 2024)

    Python 21 1

  3. dnn-opf dnn-opf Public

    MATLAB 11 4

  4. Diffusion-MRMP Diffusion-MRMP Public

    Official implementation of "Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models" (ICML 2025)

    Python 6

  5. Constrained-Stable-Diffusion Constrained-Stable-Diffusion Public

    Official implementation of Training-Free Constrained Generation With Stable Diffusion Models (NeurIPS 2025 Spotlight)

    Python 4 1

  6. SPOFR SPOFR Public

    Learning to Rank with Fairness of Exposure

    Python

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