Search Results for author: Cusuh Ham

Found 3 papers, 1 papers with code

Density of States Estimation for Out-of-Distribution Detection

no code implementations16 Jun 2020 Warren R. Morningstar, Cusuh Ham, Andrew G. Gallagher, Balaji Lakshminarayanan, Alexander A. Alemi, Joshua V. Dillon

Drawing on the statistical physics notion of ``density of states,'' the DoSE decision rule avoids direct comparison of model probabilities, and instead utilizes the ``probability of the model probability,'' or indeed the frequency of any reasonable statistic.

Out-of-Distribution Detection

Automatic Differentiation Variational Inference with Mixtures

no code implementations3 Mar 2020 Warren R. Morningstar, Sharad M. Vikram, Cusuh Ham, Andrew Gallagher, Joshua V. Dillon

Automatic Differentiation Variational Inference (ADVI) is a useful tool for efficiently learning probabilistic models in machine learning.

Variational Inference

ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging

2 code implementations CVPR 2019 Samarth Brahmbhatt, Cusuh Ham, Charles C. Kemp, James Hays

We present ContactDB, a novel dataset of contact maps for household objects that captures the rich hand-object contact that occurs during grasping, enabled by use of a thermal camera.

Grasp Contact Prediction

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