3 citations · 10 across the 6 of their papers we have counts for
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cs.LG2023
Topological Parallax: A Geometric Specification for Deep Perception Models
Abraham D. Smith, Michael J. Catanzaro, Gabrielle Angeloro +2
For safety and robustness of AI systems, we introduce topological parallax as a theoretical and computational tool that compares a trained model to a reference dataset to determine…
cs.LG2017★ 3 cited
Supervised Learning of Labeled Pointcloud Differences via Cover-Tree Entropy Reduction
Abraham Smith, Paul Bendich, John Harer +2
We introduce a new algorithm, called CDER, for supervised machine learning that merges the multi-scale geometric properties of Cover Trees with the information-theoretic properties…