Trevor Killeen

Publication Activity (10 Years)

Years Active: 2014-2019
Publications (10 Years): 2

Top Topics

Unsupervised Learning

Mass Spectrometry

Top Venues

Publications

Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Z. Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala
PyTorch: An Imperative Style, High-Performance Deep Learning Library. CoRR (2019)
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Z. Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala
PyTorch: An Imperative Style, High-Performance Deep Learning Library. NeurIPS (2019)
Meena Choi, Ching-Yun Chang, Timothy Clough, Daniel Broudy, Trevor Killeen, Brendan MacLean, Olga Vitek
MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments. Bioinform. 30 (17) (2014)
Daniel Broudy, Trevor Killeen, Meena Choi, Nicholas Shulman, Deepak R. Mani, Susan E. Abbatiello, Deepak Mani, Rushdy Ahmad, Alexandria K. Sahu, Birgit Schilling, Kaipo Tamura, Yuval Boss, Vagisha Sharma, Bradford W. Gibson, Steven A. Carr, Olga Vitek, Michael J. MacCoss, Brendan MacLean
A framework for installable external tools in Skyline. Bioinform. 30 (17) (2014)