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Publication search results
found 7 matches
- 2021
- Claudio Emma, Auralee Edelen, Adi Hanuka, Brendan O'Shea, Alexander Scheinker:
Virtual Diagnostic Suite for Electron Beam Prediction and Control at FACET-II. Inf. 12(2): 61 (2021) - Adi Hanuka, Owen Convery:
Accurate Machine Learning-based Diagnostic with Quantified Uncertainties. AAAI Spring Symposium: MLPS 2021 - Owen Convery, Lewis Smith, Yarin Gal, Adi Hanuka:
Quantifying Uncertainty for Machine Learning Based Diagnostic. CoRR abs/2107.14261 (2021) - Alexander Lavin, Hector Zenil, Brooks Paige, David Krakauer, Justin Gottschlich, Tim Mattson, Anima Anandkumar, Sanjay Choudry, Kamil Rocki, Atilim Günes Baydin, Carina Prunkl, Olexandr Isayev, Erik Peterson, Peter L. McMahon, Jakob H. Macke, Kyle Cranmer, Jiaxin Zhang, Haruko M. Wainwright, Adi Hanuka, Manuela Veloso, Samuel Assefa, Stephan Zheng, Avi Pfeffer:
Simulation Intelligence: Towards a New Generation of Scientific Methods. CoRR abs/2112.03235 (2021) - 2020
- Adi Hanuka, Xiaobiao Huang, Jane Shtalenkova, Dylan Kennedy, Auralee Edelen, V. R. Lalchand, Daniel Ratner, Joseph Duris:
Physics-informed Gaussian Process for Online Optimization of Particle Accelerators. CoRR abs/2009.03566 (2020) - Adi Hanuka, Claudio Emma, Timothy Maxwell, Alanb S. Fisher, Bryce Jacobson, Marc J. Hogan, Zhirong Huang:
Accurate and confident prediction of electron beam longitudinal properties using spectral virtual diagnostics. CoRR abs/2009.12835 (2020) - 2019
- Adi Hanuka, Joseph Duris, Jane Shtalenkova, Dylan Kennedy, Auralee Edelen, Daniel Ratner, Xiaobiao Huang:
Online tuning and light source control using a physics-informed Gaussian process Adi. CoRR abs/1911.01538 (2019)
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