Grassmannian Fusion Frames - Emily J. King (CoRR, 2010)

Modeling photo-bleaching kinetics to map local variations in rod rhodopsin density. - Martin Ehler; Julia A. Dobrosotskaya; Emily J. King; Wojciech Czaja; Robert F. Bonner (Computer-Aided Diagnosis, 2011)

Modeling of the rhodopsin bleaching with variational analysis of retinal images. - Julia A. Dobrosotskaya; Martin Ehler; Emily J. King; Robert F. Bonner; Wojciech Czaja (Image Processing, 2011)

A Matricial Algorithm for Polynomial Refinement - Emily J. King (CoRR, 2011)

Smooth Parseval Frames for L2(ℝ) and Generalizations to L2(ℝd). - Emily J. King (Int. J. Wavelets Multiresolution Inf. Process., 2013)

Analysis of Inpainting via Clustered Sparsity and Microlocal Analysis. - Emily J. King; Gitta Kutyniok; Xiaosheng Zhuang (J. Math. Imaging Vis., 2014)

Shearlet-Based Detection of Flame Fronts. - Rafael Reisenhofer; Johannes Kiefer; Emily J. King (CoRR, 2015)

Musical Instrument Separation on Shift-Invariant Spectrograms via Stochastic Dictionary Learning. - Sören Schulze; Emily J. King (CoRR, 2018)

New Upper Bounds for Equiangular Lines by Pillar Decomposition. - Emily J. King; Xiaoxian Tang (SIAM J. Discret. Math., 2019)

Edge, Ridge, and Blob Detection with Symmetric Molecules. - Rafael Reisenhofer; Emily J. King (SIAM J. Imaging Sci., 2019)

Nonclosedness of the Set of Neural Networks in Sobolev Space. - Scott Mahan; Emily J. King; Alex Cloninger (CoRR, 2020)

Uniquely optimal codes of low complexity are symmetric. - Christopher Cox; Emily J. King; Dustin G. Mixon; Hans Parshall (CoRR, 2020)

Singular Values for ReLU Layers. - Sören Dittmer; Emily J. King; Peter Maass (IEEE Trans. Neural Networks Learn. Syst., 2020)

A note on tight projective 2-designs. - Joseph W. Iverson; Emily J. King; Dustin G. Mixon (CoRR, 2021)

Training a Deep Neural Network via Policy Gradients for Blind Source Separation in Polyphonic Music Recordings. - Sören Schulze; Johannes Leuschner; Emily J. King (CoRR, 2021)

Grassmannian codes from paired difference sets. - Matthew Fickus; Joseph W. Iverson; John Jasper; Emily J. King (Des. Codes Cryptogr., 2021)

Sparse pursuit and dictionary learning for blind source separation in polyphonic music recordings. - Sören Schulze; Emily J. King (EURASIP J. Audio Speech Music. Process., 2021)

Nonclosedness of sets of neural networks in Sobolev spaces. - Scott Mahan; Emily J. King; Alex Cloninger (Neural Networks, 2021)

Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks. - Huma Jamil; Yajing Liu; Christina M. Cole; Nathaniel Blanchard; Emily J. King; Michael Kirby; Christopher Peterson 001 (IEEE Big Data, 2022)

The Flag Median and FlagIRLS. - Nathan Mankovich; Emily J. King; Chris Peterson 001; Michael Kirby (CVPR, 2022)

Formulating Beurling LASSO for Source Separation via Proximal Gradient Iteration. - Sören Schulze; Emily J. King (CoRR, 2022)

A Primer on Topological Data Analysis to Support Image Analysis Tasks in Environmental Science. - Lander Ver Hoef; Henry Adams; Emily J. King; Imme Ebert-Uphoff (CoRR, 2022)

Transparent Machine Learning: Training and Refining an Explainable Boosting Machine to Identify Overshooting Tops in Satellite Imagery. - Nathan Mitchell; Lander Ver Hoef; Imme Ebert-Uphoff; Kristina Moen; Kyle Hilburn; Yoonjin Lee; Emily J. King (CoRR, 2025)