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Michael Girard
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NLO QCD corrections to SM-EFT dilepton and electroweak Higgs boson production, matched to parton shower in POWHEG
S Alioli, W Dekens, M Girard, E Mereghetti
Journal of High Energy Physics 2018 (8), 1-42, 2018
702018
Evaluation of deep learning architectures for aqueous solubility prediction
G Panapitiya, M Girard, A Hollas, J Sepulveda, V Murugesan, W Wang, ...
ACS omega 7 (18), 15695-15710, 2022
322022
Uranium oxide synthetic pathway discernment through unsupervised morphological analysis
M Girard, A Hagen, I Schwerdt, M Gaumer, L McDonald, N Hodas, ...
Journal of Nuclear Materials 552, 152983, 2021
152021
Predicting aqueous solubility of organic molecules using deep learning models with varied molecular representations
G Panapitiya, M Girard, A Hollas, V Murugesan, W Wang, E Saldanha
arXiv preprint arXiv:2105.12638, 2021
72021
Digital signal processing using deep neural networks
B Shevitski, Y Watkins, N Man, M Girard
arXiv preprint arXiv:2109.10404, 2021
52021
Deep Learning for Spectral Filling in Radio Frequency Applications
M Setzler, E Coda, J Rounds, M Vann, M Girard
2022 Sensor Signal Processing for Defence Conference (SSPD), 1-5, 2022
12022
Universal Fourier Attack for Time Series
CN DeSmet, MK Girard, ED Coda, YZ Watkins
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States), 2023
2023
Universal Fourier Attack for Time Series
E Coda, B Clymer, C DeSmet, Y Watkins, M Girard
arXiv preprint arXiv:2209.00757, 2022
2022
Towards Precision Standard Model Calculations
M Girard
University of California, Berkeley, 2018
2018
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Articles 1–9