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Thomas Davies

2 accepted papers

2023

The Persistent Laplacian for Data Science: Evaluating Higher-Order Persistent Spectral Representations of Data

ICML 2023poster

Persistent homology is arguably the most successful technique in Topological Data Analysis. It combines homology, a topological feature of a data set, with persistence, which tracks the evolution of homology over different scales. The persistent Laplacian is a recent theoretical development that com…

Cited by 6SourcePDFScholar
2021

UV-Net: Learning From Boundary Representations

CVPR 2021poster

We introduce UV-Net, a novel neural network architecture and representation designed to operate directly on Boundary representation (B-rep) data from 3D CAD models. The B-rep format is widely used in the design, simulation and manufacturing industries to enable sophisticated and precise CAD modeling…

Cited by 85PDFcodeScholar