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Petrus H. Zwart
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2020 – today
- 2024
- [j2]Petrus H. Zwart
:
qlty: Handling large tensors in scientific imaging deep-learning workflows. Softw. Impacts 21: 100696 (2024) - 2023
- [c4]Guanhua Hao, Eric J. Roberts, Tanny Chavez, Zhuowen Zhao, Elizabeth Holman, Howard Yanxon, Adam Green, Harinarayan Krishnan
Deploying machine learning based segmentation for scientific imaging analysis at synchrotron facilities. Image Processing: Algorithms and Systems 2023: 1-5 - [i4]Eric J. Roberts, Tanny Chavez, Alexander Hexemer, Petrus H. Zwart:
DLSIA: Deep Learning for Scientific Image Analysis. CoRR abs/2308.02559 (2023) - [i3]Howard Yanxon, Eric J. Roberts, Hannah Parraga, James Weng, Wenqian Xu, Uta Ruett, Alexander Hexemer, Petrus H. Zwart, Nicholas Schwarz:
Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images. CoRR abs/2310.16186 (2023) - 2022
- [c3]Zhuowen Zhao
MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studies. XLOOP@SC 2022: 10-15 - [i2]Zhuowen Zhao, Tanny Chavez, Elizabeth Holman, Guanhua Hao, Adam Green, Harinarayan Krishnan, Dylan McReynolds, Ronald Pandolfi, Eric J. Roberts, Petrus H. Zwart, Howard Yanxon, Nicholas Schwarz, Subramanian Sankaranarayanan, Sergei V. Kalinin, Apurva Mehta, Stuart Campbell, Alexander Hexemer:
MLExchange: A web-based platform enabling exchangeable machine learning workflows. CoRR abs/2208.09751 (2022) - 2021
- [c2]Marcus Michael Noack, David Perryman, Harinarayan Krishnan
High-Performance Hybrid-Global-Deflated-Local Optimization with Applications to Active Learning. XLOOP@SC 2021: 24-29 - [i1]Luca Pion-Tonachini, Kristofer E. Bouchard, Héctor García Martín, Sean Peisert
Learning from learning machines: a new generation of AI technology to meet the needs of science. CoRR abs/2111.13786 (2021) - 2020
- [j1]Charles N. Melton
K-means-driven Gaussian Process data collection for angle-resolved photoemission spectroscopy. Mach. Learn. Sci. Technol. 1(4): 45015 (2020)
2010 – 2019
- 2019
- [c1]Marcus Michael Noack, Petrus H. Zwart:
Computational Strategies to Increase Efficiency of Gaussian-Process-Driven Autonomous Experiments. XLOOP@SC 2019: 1-7
Coauthor Index
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