Hannah Lawrence, David A. Barmherzig, Henry Li, Michael Eickenberg, and Marylou Gabrié. Submitted to Mathematical and Scientific Machine Learning (MSML) Conference, 2021.
Recovering Missing Data in Coherent Diffraction Imaging. [arXiv]
David A. Barmherzig, Alex H. Barnett, Charles L. Epstein, Leslie F. Greengard, Jeremy F. Magland, and Manas Rachh. Accepted to SIAM Journal on Imaging Sciences, 2021.
Low-Photon Holographic Phase Retrieval. [Publication Link]
David Barmherzig and Ju Sun. Computational Optical Sensing and Imaging, Optical Society of America, 2020.
The Phase Retrieval Problem: Theory, Algorithms, and Applications. [Publication Link]
David A. Barmherzig. Doctoral Dissertation, Stanford University, 2019.
Dual-Reference Design for Holographic Phase Retrieval. [Publication Link][arXiv]
David A. Barmherzig, Ju Sun, Emmanuel J. Candès, T.J. Lane, and Po-Nan Li. SampTA, 2019.
Holographic Phase Retrieval and Reference Design. [Publication Link][arXiv] [Code]
David A. Barmherzig, Ju Sun, Emmanuel J. Candès, T.J. Lane, and Po-Nan Li. Inverse Problems 35(9), pp. 094001, 2019.
1D Phase Retrieval and Spectral Factorization. [Publication Link]
David Barmherzig, Ju Sun. Mathematics in Imaging, Optical Society of America, 2018.
On Block-Reference Coherent Diffraction Imaging. [Publication Link]
David Barmherzig, Ju Sun, T.J. Lane, and Po-Nan Li. Computational Optical Sensing and Imaging, Optical Society of America, 2018.
A Local Analysis of Block Coordinate Descent for Gaussian Phase Retrieval. [Publication Link] [arXiv] [Code]
David Barmherzig, Ju Sun. 10th NIPS Workshop on Optimization for Machine Learning, 2017.
