410 citations · 665 across the 19 of their papers we have counts for
25 papers
Easy Variational Inference for Categorical Models via an Independent Binary Approximation
Michael T. Wojnowicz, Shuchin Aeron, Eric L. Miller +1
We pursue tractable Bayesian analysis of generalized linear models (GLMs) for categorical data. Thus far, GLMs are difficult to scale to more than a few dozen categories due to non…
Parametric Level-sets Enhanced To Improve Reconstruction (PaLEnTIR)
Ege Ozsar, Misha Kilmer, Eric Miller +2
We introduce PaLEnTIR, a significantly enhanced parametric level-set (PaLS) method addressing the restoration and reconstruction of piecewise constant objects. Our key contribution…
Dynamical Wasserstein Barycenters for Time-series Modeling
Kevin C. Cheng, Shuchin Aeron, Michael C. Hughes +1
Many time series can be modeled as a sequence of segments representing high-level discrete states, such as running and walking in a human activity application. Flexible models shou…
A novel reconstruction technique for two-dimensional Bragg scatter imaging
James W. Webber, Eric L. Miller
Here we introduce a new reconstruction technique for two-dimensional Bragg Scattering Tomography (BST), based on the Radon transform models of [arXiv preprint, arXiv:2004.10961 (20…
On Matched Filtering for Statistical Change Point Detection
Kevin C. Cheng, Eric L. Miller, Michael C. Hughes +1
Non-parametric and distribution-free two-sample tests have been the foundation of many change point detection algorithms. However, randomness in the test statistic as a function of…
Bragg scattering tomography
James W. Webber, Eric L. Miller
Here we introduce a new forward model and imaging modality for Bragg Scattering Tomography (BST). The model we propose is based on an X-ray portal scanner with linear detector coll…