2 papers
cs.LG2025
Deep Learning for Forensic Identification of Source
Cole Patten, Christopher Saunders, Michael Puthawala
We used contrastive neural networks to learn useful similarity scores between the 144 cartridge casings in the NBIDE dataset, under the common-but-unknown source paradigm. The comm…
cs.LG2024
(Deep) Generative Geodesics
Beomsu Kim, Michael Puthawala, Jong Chul Ye +1
In this work, we propose to study the global geometrical properties of generative models. We introduce a new Riemannian metric to assess the similarity between any two data points.…