W. Melnitchouk

According to our database, W. Melnitchouk authored at least 7 papers between 2020 and 2024.

Collaborative distances:

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

2024

Accelerating Markov Chain Monte Carlo sampling with diffusion models.

N. T. Hunt-Smith, W. Melnitchouk, F. Ringer, Nobuo Sato, A. W. Thomas, M. J. White

Comput. Phys. Commun., 2024

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