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parameter inference
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1.
Comparing Manifold-Constrained Gaussian Processes and Physics-Inspired Neural Networks for Parameter Inference in Epidemiological Models
Student Name:
Xiao, Sophia
Date Uploaded:
04/09/2025
Research Field:
Statistics and Applied Mathematics
Department or Specialty:
Mathematics
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Year
Spring 2025
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School
Emory College
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Mathematics
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B.S.
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Applied Mathematics
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Statistics
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Alessandro Veneziani, Emory University
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David Hirshberg, Emory University
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Yuanzhe Xi, Emory University
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gaussian processes
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machine learning
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parameter inference
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physics-inspired neural networks
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sir models
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