Publications

Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging. [arXiv]

Hannah Lawrence, David A. Barmherzig, Henry Li, Michael Eickenberg, and Marylou Gabrié. Accepted to Mathematical and Scientific Machine Learning (MSML) Conference and Proceedings of Machine Learning Research (PMLR), 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.