no code implementations • ICML 2020 • Chandramouli Shama Sastry, Sageev Oore
We find that characterizing activity patterns by Gram matrices and identifying anomalies in Gram matrix values can yield high OOD detection rates.
1 code implementation • 23 Feb 2022 • Chandramouli Shama Sastry, Andreas Lehrmann, Marcus Brubaker, Alexander Radovic
Instead, we build upon the diffeomorphic properties of normalizing flows and leverage the divergence theorem to estimate the CDF over a closed region in target space in terms of the flux across its \emph{boundary}, as induced by the normalizing flow.
no code implementations • 2 Aug 2021 • Jason d'Eon, Sri Harsha Dumpala, Chandramouli Shama Sastry, Dani Oore, Sageev Oore
In this paper, we propose a new compositional tool that will generate a musical outline of speech recorded/provided by the user for use as a musical building block in their compositions.
5 code implementations • 28 Dec 2019 • Chandramouli Shama Sastry, Sageev Oore
We find that characterizing activity patterns by Gram matrices and identifying anomalies in gram matrix values can yield high OOD detection rates.
Ranked #13 on
Out-of-Distribution Detection
on CIFAR-10 vs CIFAR-100