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      by 
      Balasalle, James, author.
      Format: 
      Excerpt: 
      We show that the parallel derivative methods achieve a high level of parallel efficiency and work
      by 
      Wen, Haiguang, author.
      Format: 
      Excerpt: 
      The overarching objective of this work is to bridge neuroscience and artificial intelligence to
      by 
      Tan, Xi, author.
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      Excerpt: 
      characteristics have been largely ignored in previous work. In this dissertation, we address these limitations via
      by 
      Jaegle, Andrew, author.
      Format: 
      Excerpt: 
      , nonrigid world. This work is organized around a view of motion as a global phenomenon that is not
      by 
      Liu, Tiantian, author.
      Format: 
      Excerpt: 
      relies on Newton's method, which is slow, even with only one iteration per timestep. In this work, we
      by 
      Bittner, Rachel, author.
      Format: 
      Excerpt: 
      , there has been relatively little work on data-driven f0 estimation, primarily due to the lack of
      by 
      Oluwatimi, Oyindamola D., author.
      Format: 
      Excerpt: 
      policies that the context-aware systems are able to support and enforce. Specifically, the work proposes
      by 
      Vaiana, Michael, author. (orcid)0000-0002-4955-4114
      Format: 
      Excerpt: 
      scales. In this dissertation, I present work integrating multilayer networks and computational topology
      by 
      Khurana, Dakshita, author.
      Format: 
      Excerpt: 
      rewinding technique is synonymous with protocol security and polynomial simulation. Prior to this work, all
      by 
      Church, Benjamin David, author.
      Format: 
      Excerpt: 
      published work, and modular and incremental developments may improve segmentation generation and