Yasir Alanazi

According to our database, Yasir Alanazi authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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., March, 2024

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, Malachi Schram, Evgenia Smirni

Dataset, October, 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, Malachi Schram, Evgenia Smirni

CoRR, 2023

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, Pradeep Ramuhalli, Sarah Cousineau

CoRR, 2023

2022

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

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

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

Proceedings of the International Joint Conference on Neural Networks, 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, Yaohang Li

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Simulation of Electron-Proton Scattering Events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN).

Yasir Alanazi, Nobuo Sato, Tianbo Liu, Wally Melnitchouk, Pawel Ambrozewicz, Florian Hauenstein, Michelle P. Kuchera, Evan Pritchard, Michael Robertson, Ryan R. Strauss, Luisa Velasco, Yaohang Li

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

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

Yasir Alanazi, Nobuo Sato, Tianbo Liu, W. Melnitchouk, Michelle P. Kuchera, Evan Pritchard, Michael Robertson, Ryan R. Strauss, Luisa Velasco, Yaohang Li

CoRR, 2020

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, W. Melnitchouk, Michelle P. Kuchera, Yasir Alanazi, Yaohang Li

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020