Now showing items 595-597 of 36544

    • Fast and Scalable Subgraph Learning 

      Liang, Derrick (Massachusetts Institute of Technology, 2025-05)
      Graph Neural Networks (GNNs) are a powerful framework for learning over structured data, enabling predictive modeling across domains such as bioinformatics, recommendation systems, and financial fraud detection. While ...
    • Dynamic Scene Editing via Semantically Trained 3D Guassians 

      Lam, Jordan (Massachusetts Institute of Technology, 2025-05)
      Image-based 3D scene reconstruction continues to be a challenge as it involves solving both the sufficient 3D representation problem and the 3D reconstruction itself. One approach to tackle the rendering problem is 3D ...
    • Decentralized AI for Methylation Data with Applications to Precision Health 

      Jamee, Mehrab S. (Massachusetts Institute of Technology, 2025-05)
      Advances in precision health rely on integrating large-scale genomic data to identify biomarkers and predict health outcomes. However, sharing sensitive patient data between institutions like hospitals poses significant ...