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

, , , , , , , , , and . CoRR, (2020)

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cFAT-GAN: Conditional Simulation of Electron-Proton Scattering Events with Variate Beam Energies by a Feature Augmented and Transformed Generative Adversarial Network., , , , , , , , and . ICMLA, page 372-375. IEEE, (2020)TensorBNN: Bayesian Inference for Neural Networks using Tensorflow., , and . CoRR, (2020)Bayesian Neural Networks for Fast SUSY Predictions., , , and . CoRR, (2020)Implicit Quantile Neural Networks for Jet Simulation and Correction., , , and . CoRR, (2021)Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN)., , , , , , , , , and . CoRR, (2020)TensorBNN: Bayesian inference for neural networks using TensorFlow., , and . Comput. Phys. Commun., (2022)Unsupervised Learning for Identifying Events in Active Target Experiments., , , , and . CoRR, (2020)Machine Learning Methods for Track Classification in the AT-TPC., , , , , , and . CoRR, (2018)Two-dimensional total absorption spectroscopy with conditional generative adversarial networks., , , , and . CoRR, (2022)Artificial Intelligence and Machine Learning in Nuclear Physics., , , , , , , , , and 8 other author(s). CoRR, (2021)