cFAT-GAN: Conditional Simulation of Electron-Proton Scattering Events with Variate Beam Energies by a Feature Augmented and Transformed Generative Adversarial Network. - Luisa Velasco; Evan McClellan; Nobuo Sato; Pawel Ambrozewicz; Tianbo Liu 004; W. Melnitchouk; Michelle P. Kuchera; Yasir Alanazi; Yaohang Li (ICMLA, 2020)

Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN). - Yasir Alanazi; Nobuo Sato; Tianbo Liu 004; W. Melnitchouk; Michelle P. Kuchera; Evan Pritchard; Michael Robertson; Ryan R. Strauss; Luisa Velasco; Yaohang Li (CoRR, 2020)

Simulation of Electron-Proton Scattering Events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN). - Yasir Alanazi; Nobuo Sato; Tianbo Liu 004; Wally Melnitchouk; Pawel Ambrozewicz; Florian Hauenstein; Michelle P. Kuchera; Evan Pritchard; Michael Robertson; Ryan R. Strauss; Luisa Velasco; Yaohang Li (IJCAI, 2021)

A Survey of Machine Learning-Based Physics Event Generation. - Yasir Alanazi; Nobuo Sato; Pawel Ambrozewicz; Astrid N. Hiller Blin; Wally Melnitchouk; Marco Battaglieri; Tianbo Liu 004; Yaohang Li (IJCAI, 2021)

Variational Autoencoder Inverse Mapper: An End-to-End Deep Learning Framework for Inverse Problems. - Manal Almaeen; Yasir Alanazi; Nobuo Sato; W. Melnitchouk; Michelle P. Kuchera; Yaohang Li (IJCNN, 2021)

Point Cloud-based Variational Autoencoder Inverse Mappers (PC-VAIM) - An Application on Quantum Chromodynamics Global Analysis. - Manal Almaeen; Yasir Alanazi; Nobuo Sato; W. Melnitchouk; Yaohang Li (ICMLA, 2022)

Multi-module based CVAE to predict HVCM faults in the SNS accelerator. - Yasir Alanazi; Malachi Schram; Kishansingh Rajput; Steven Goldenberg; Lasitha Vidyaratne; Chris Pappas; Majdi I. Radaideh; Dan Lu 001; Pradeep Ramuhalli; Sarah Cousineau (CoRR, 2023)

Dataset for Investigating Anomalies in Compute Clusters. - Diana McSpadden; Yasir Alanazi; Bryan Hess; Laura Hild; Mark Jones; Yiyang Lub; Ahmed Mohammed; Wesley Moore; Jie Ren 015; Malachi Schram; Evgenia Smirni (CoRR, 2023)

Dataset for Investigating Anomalies in Compute Clusters. - Diana McSpadden; Yasir Alanazi; Bryan Hess; Laura Hild; Mark Jones; Yiyang Lu; Ahmed Mohammed; Wesley Moore; Jie Ren 015; Malachi Schram; Evgenia Smirni (Zenodo, 2023)

Robust errant beam prognostics with conditional modeling for particle accelerators. - Kishansingh Rajput; Malachi Schram; Willem Blokland; Yasir Alanazi; Pradeep Ramuhalli; Alexander Zhukov; Charles Peters; Ricardo Vilalta (Mach. Learn. Sci. Technol., 2024)