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Variational Autoencoder Inverse Mapper: An End-to-End Deep Learning Framework for Inverse Problems., , , , , and . IJCNN, page 1-8. IEEE, (2021)Simulation of Electron-Proton Scattering Events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN)., , , , , , , , , and 2 other author(s). IJCAI, page 2126-2132. ijcai.org, (2021)Robust errant beam prognostics with conditional modeling for particle accelerators., , , , , , , and . Mach. Learn. Sci. Technol., 5 (1): 15044 (March 2024)Dataset for Investigating Anomalies in Compute Clusters., , , , , , , , , and 1 other author(s). CoRR, (2023)Point Cloud-based Variational Autoencoder Inverse Mappers (PC-VAIM) - An Application on Quantum Chromodynamics Global Analysis., , , , and . ICMLA, page 1151-1158. IEEE, (2022)A Survey of Machine Learning-Based Physics Event Generation., , , , , , , and . IJCAI, page 4286-4293. ijcai.org, (2021)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)