Gabriele Cesa

PhD
University of Amsterdam (UvA)
Qualcomm AI Research
Geometry Deep Learning

Many machine learning tasks come with some intrinsic geometric structure. During my PhD, I will study how to encode the geometry of a problem into neural-network architectures to achieve improved data efficiency and generalization. A particular focus will be given to 3D data and the task of 3D reconstruction, where the global 3D structure is only accessible through a number of 2D observations.

Track:
Industry Track
PhD Duration:
September 1st, 2019 - September 30th, 2023
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