Efficient Natural Language Response Suggestion for Smart Reply. - Matthew L. Henderson; Rami Al-Rfou; Brian Strope; Yun-Hsuan Sung; László Lukács; Ruiqi Guo; Sanjiv Kumar; Balint Miklos; Ray Kurzweil (CoRR, 2017)

ScienceSearch: Enabling Search through Automatic Metadata Generation. - Gonzalo P. Rodrigo; Matthew L. Henderson; Gunther H. Weber; Colin Ophus; Katie Antypas; Lavanya Ramakrishnan (eScience, 2018)

Interactive Distributed Deep Learning with Jupyter Notebooks. - Steven Andrew Farrell; Aaron Vose; Oliver Evans; Matthew L. Henderson; Shreyas Cholia; Fernando Pérez; Wahid Bhimji; Shane Canon; Rollin C. Thomas; Prabhat (ISC Workshops, 2018)

Accelerating Experimental Science Using Jupyter and NERSC HPC. - Matthew L. Henderson; William Krinsman; Shreyas Cholia; Rollin C. Thomas; Trevor Slaton (HUST/SE-HER/WIHPC@SC, 2019)

Towards Interactive, Reproducible Analytics at Scale on HPC Systems. - Shreyas Cholia; Lindsey J. Heagy; Matthew L. Henderson; Drew Paine; Jon Hays; Ludovico Bianchi; Devarshi Ghoshal; Fernando Pérez; Lavanya Ramakrishnan (UrgentHPC@SC, 2020)

Interactive Parallel Workflows for Synchrotron Tomography. - Dilworth Y. Parkinson; Harinarayan Krishnan; Daniela Ushizima; Matthew L. Henderson; Shreyas Cholia (XLOOP@SC, 2020)

Disentangling multiple scattering with deep learning: application to strain mapping from electron diffraction patterns. - Joydeep Munshi; Alexander Rakowski; Benjamin H. Savitzky; Steven E. Zeltmann; Jim Ciston; Matthew L. Henderson; Shreyas Cholia; Andrew M. Minor; Maria K. Y. Chan; Colin Ophus (CoRR, 2022)

Enabling Scientific Collaboration with JupyterHub. - Min Ragan-Kelley; Matthew L. Henderson; Fernando Pérez; Rollin C. Thomas; Shreyas Cholia; Lavanya Ramakrishnan (SC Workshops, 2024)