Now showing items 61-63 of 65132

    • Predicting Task Functional Localizers Using Naturalistic fMRI 

      Wilke, Jordan (Massachusetts Institute of Technology, 2025-09)
      Functional magnetic resonance imaging (fMRI) data collected during naturalistic stimuli has shown promise for predicting individual traits, biomarkers of disease and functional brain localizations, potentially offering ...
    • Probabilistic Programming with Low-Level, High-Performance GPU Programmable Inference 

      Chung, Karen (Massachusetts Institute of Technology, 2025-09)
      GPU-compatible probabilistic programming languages (PPLs) have enabled high-performance, data-parallel programmable inference. However, these systems face fundamental trade-offs between expressiveness and performance, as ...
    • Simplifying Equivariant GPU Kernels through Tile-based Programming 

      Kotak, Mit (Massachusetts Institute of Technology, 2025-09)
      E(3)-equivariant neural networks have demonstrated success across a wide range of 3D modeling tasks. Until recently, they were bottlenecked due to their high memory and wall-time requirements. In this thesis we first provide ...