Now showing items 7-9 of 807

    • Neurosymbolic Programming for Science 

      Sun, Jennifer J; Tjandrasuwita, Megan; Sehgal, Atharva; Solar-Lezama, Armando; Chaudhuri, Swarat; e.a. (2022-10-12)
      Neurosymbolic Programming (NP) techniques have the potential to accelerate scientific discovery across fields. These models combine neural and symbolic components to learn complex patterns and representations from data, ...
    • Multi-modal and Inertial sensor Solutions for Navigation-type Factor Graphs 

      Fourie, Dehann (MIT, 2017-08-31)
      This thesis presents a sum-product inference algorithm for platform navigation called Multi-modal iSAM (incremental smoothing and mapping). Common Gaussian only likelihoods are restrictive and require a complex front-end ...
    • Universal Motion Generator: Trajectory Autocompletion by Motion Prompts 

      Wang, Yanwei; Shah, Julie (2022-06-15)
      Foundation models, which are large neural networks trained on massive datasets, have shown impressive generalization in both the language and the vision domain. While fine-tuning foundation models for new tasks at test-time ...