Search Results for author: Jacob Desman

Found 1 papers, 1 papers with code

Deep Discriminative to Kernel Density Networks for Calibrated Inference

1 code implementation31 Jan 2022 Jayanta Dey, Will LeVine, Haoyin Xu, Ashwin De Silva, Tyler M. Tomita, Ali Geisa, Tiffany Chu, Jacob Desman, Joshua T. Vogelstein

In this paper, we leveraged the fact that deep models, including both random forests and deep-nets, learn internal representations which are unions of polytopes with affine activation functions to conceptualize them both as partitioning rules of the feature space.

Out-of-Distribution Detection regression

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