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Michelle P. Kuchera

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Two-dimensional total absorption spectroscopy with conditional generative adversarial networks

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Jun 23, 2022
Cade Dembski, Michelle P. Kuchera, Sean Liddick, Raghu Ramanujan, Artemis Spyrou

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Artificial Intelligence and Machine Learning in Nuclear Physics

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Dec 04, 2021
Amber Boehnlein, Markus Diefenthaler, Cristiano Fanelli, Morten Hjorth-Jensen, Tanja Horn, Michelle P. Kuchera, Dean Lee, Witold Nazarewicz, Kostas Orginos, Peter Ostroumov, Long-Gang Pang, Alan Poon, Nobuo Sato, Malachi Schram, Alexander Scheinker, Michael S. Smith, Xin-Nian Wang, Veronique Ziegler

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Implicit Quantile Neural Networks for Jet Simulation and Correction

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Nov 22, 2021
Braden Kronheim, Michelle P. Kuchera, Harrison B. Prosper, Raghuram Ramanujan

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Unsupervised Learning for Identifying Events in Active Target Experiments

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Aug 07, 2020
Robert Solli, Daniel Bazin, Michelle P. Kuchera, Ryan R. Strauss, Morten Hjorth-Jensen

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Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN)

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Jan 29, 2020
Yasir Alanazi, N. Sato, Tianbo Liu, W. Melnitchouk, Michelle P. Kuchera, Evan Pritchard, Michael Robertson, Ryan Strauss, Luisa Velasco, Yaohang Li

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Machine Learning Methods for Track Classification in the AT-TPC

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Oct 21, 2018
Michelle P. Kuchera, Raghuram Ramanujan, Jack Z. Taylor, Ryan R. Strauss, Daniel Bazin, Joshua Bradt, Ruiming Chen

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