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  • Time: 12:20-1:30pm, May 6, 2026 Speaker:
  • Modern machine learning architectures often embed their inputs into a lower-dimensional latent space before generating a final ...
  • Justin's
  • A variety of tasks in computer graphics and 3D modeling involve optimization problems whose variables encode a shape or ...
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Title: Unconventional Discretizations for Geometry Processing Speaker: Professor Title: Machine Learning for Spectral Geometry and Vice Versa Speaker: Professor Title: Large-Scale Optimization for Geometry Processing Speaker: For

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