173 citations · 600 across the 40 of their papers we have counts for
42 papers
Fusing Sparsity with Deep Learning for Rotating Scatter Mask Gamma Imaging
Yilun Zhu, Clayton Scott, Darren Holland +3
Many nuclear safety applications need fast, portable, and accurate imagers to better locate radiation sources. The Rotating Scatter Mask (RSM) system is an emerging device with the…
Mixture Proportion Estimation Beyond Irreducibility
Yilun Zhu, Aaron Fjeldsted, Darren Holland +3
The task of mixture proportion estimation (MPE) is to estimate the weight of a component distribution in a mixture, given observations from both the component and mixture. Previous…
Label Embedding via Low-Coherence Matrices
Jianxin Zhang, Clayton Scott
Label embedding is a framework for multiclass classification problems where each label is represented by a distinct vector of some fixed dimension, and training involves matching m…
On Classification-Calibration of Gamma-Phi Losses
Yutong Wang, Clayton D. Scott
Gamma-Phi losses constitute a family of multiclass classification loss functions that generalize the logistic and other common losses, and have found application in the boosting li…
Consistent Interpolating Ensembles via the Manifold-Hilbert Kernel
Yutong Wang, Clayton D. Scott
Recent research in the theory of overparametrized learning has sought to establish generalization guarantees in the interpolating regime. Such results have been established for a f…
Estimating Phase from Observed Trajectories Using the Temporal 1-Form
Simon Wilshin, Matthew D. Kvalheim, Clayton Scott +1
Oscillators are ubiquitous in nature, and usually associated with the existence of an asymptotic phase that governs the long-term dynamics of the oscillator. % We show that asympto…