NG
Natalia Gimelshein
cs.LGcs.AIcs.CLcs.DCcs.MScs.NEcs.PFModels, Chemicalphysics.flu-dynstat.ML
On Valency
published · living versionsW_p6qsgd29·v1 · currentpublished
PyTorch: An Imperative Style, High-Performance Deep Learning Library
with Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer +16
1 version
Preprints & journals
7 papers in the corpus · 2011–2019PyTorch: An Imperative Style, High-Performance Deep Learning Library1912.01703v1 · Adam Paszke, Sam Gross, Francisco Massa et al.2019 · 31,494 citationsarXivon Valency
Online normalizer calculation for softmax1805.02867v2 · Maxim Milakov (NVIDIA), Natalia Gimelshein (NVIDIA)2018 · 27 citationsarXiv
vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design1602.08124v3 · Minsoo Rhu, Natalia Gimelshein, Jason Clemons et al.2016 · 416 citationsarXiv
The temperature and size distribution of large water clusters from a non-equilibrium model.26133426 · Gimelshein, N, Gimelshein, S, Pradzynski, C C et al.2015 · 16 citationsThe Journal of chemical physics. 2015;142(24):244305
Numerical modeling of ion transport in an ESI-MS system.24658802 · Gimelshein, Natalia, Gimelshein, Sergey, Lilly, Taylor et al.2015 · 31 citationsJournal of the American Society for Mass Spectrometry. 2014;25(5):820-31
Numerical modeling of ion transport in a ESI-MS system1311.5172v1 · N. Gimelshein, S. Gimelshein, T. Lilly et al.2013 · 0 citationsarXiv
A Lagrangian-Eulerian approach to modeling homogeneous condensation in high density gas expansions.21405154 · Jansen, Ryan, Gimelshein, Natalia, Gimelshein, Sergey et al.2012 · 12 citationsThe Journal of chemical physics. 2011;134(10):104105
Career total: 72 works. 7 are in this corpus.
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