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2020 – today
- 2022
[i2]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:
Disentangling multiple scattering with deep learning: application to strain mapping from electron diffraction patterns. CoRR abs/2202.00204 (2022)- 2020
- [c5]Dilworth Y. Parkinson, Harinarayan Krishnan, Daniela Ushizima, Matthew L. Henderson, Shreyas Cholia
:
Interactive Parallel Workflows for Synchrotron Tomography. XLOOP@SC 2020: 29-34 - [c4]Shreyas Cholia, Lindsey J. Heagy, Matthew L. Henderson, Drew Paine, Jon Hays, Ludovico Bianchi, Devarshi Ghoshal, Fernando Pérez, Lavanya Ramakrishnan:
Towards Interactive, Reproducible Analytics at Scale on HPC Systems. UrgentHPC@SC 2020: 47-54
2010 – 2019
- 2019
- [c3]Matthew L. Henderson, William Krinsman, Shreyas Cholia, Rollin C. Thomas, Trevor Slaton:
Accelerating Experimental Science Using Jupyter and NERSC HPC. HUST/SE-HER/WIHPC@SC 2019: 145-163 - 2018
- [c2]Gonzalo P. Rodrigo, Matthew L. Henderson, Gunther H. Weber, Colin Ophus, Katie Antypas, Lavanya Ramakrishnan:
ScienceSearch: Enabling Search through Automatic Metadata Generation. eScience 2018: 93-104 - [c1]Steven Andrew Farrell, Aaron Vose, Oliver Evans, Matthew L. Henderson, Shreyas Cholia, Fernando Pérez, Wahid Bhimji, Shane Canon, Rollin C. Thomas, Prabhat:
Interactive Distributed Deep Learning with Jupyter Notebooks. ISC Workshops 2018: 678-687 - 2017
- [i1]Matthew L. Henderson, Rami Al-Rfou, Brian Strope, Yun-Hsuan Sung, László Lukács, Ruiqi Guo, Sanjiv Kumar, Balint Miklos, Ray Kurzweil:
Efficient Natural Language Response Suggestion for Smart Reply. CoRR abs/1705.00652 (2017)
Coauthor Index
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