Making massive computational experiments painless. - Hatef Monajemi; David L. Donoho; Victoria Stodden (IEEE BigData, 2016)

Sparsity/Undersampling Tradeoffs in Anisotropic Undersampling, with Applications in MR Imaging/Spectroscopy. - Hatef Monajemi; David L. Donoho (CoRR, 2017)

Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery. - Morteza Mardani; Hatef Monajemi; Vardan Papyan; Shreyas Vasanawala; David L. Donoho; John M. Pauly (CoRR, 2017)

Neural Proximal Gradient Descent for Compressive Imaging. - Morteza Mardani; Qingyun Sun; David L. Donoho; Vardan Papyan; Hatef Monajemi; Shreyas Vasanawala; John M. Pauly (NeurIPS, 2018)

Ambitious Data Science Can Be Painless. - Hatef Monajemi; Riccardo Murri; Eric Jonas; Percy Liang; Victoria Stodden; David L. Donoho (CoRR, 2019)