W. Melnitchouk

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 6

Top Topics

Markov Chain Monte Carlo Sampling

Electron Microscope

Inverse Problems

Top Venues

Comput. Phys. Commun.

Publications

N. T. Hunt-Smith, W. Melnitchouk, F. Ringer, Nobuo Sato, A. W. Thomas, M. J. White
Accelerating Markov Chain Monte Carlo sampling with diffusion models. Comput. Phys. Commun. 296 (2024)
Manal Almaeen, Yasir Alanazi, Nobuo Sato, W. Melnitchouk, Yaohang Li
Point Cloud-based Variational Autoencoder Inverse Mappers (PC-VAIM) - An Application on Quantum Chromodynamics Global Analysis. ICMLA (2022)
Yasir Alanazi, Nobuo Sato, Pawel Ambrozewicz, Astrid N. Hiller Blin, W. Melnitchouk, Marco Battaglieri, Tianbo Liu, Yaohang Li
A survey of machine learning-based physics event generation. CoRR (2021)
Manal Almaeen, Yasir Alanazi, Nobuo Sato, W. Melnitchouk, Michelle P. Kuchera, Yaohang Li
Variational Autoencoder Inverse Mapper: An End-to-End Deep Learning Framework for Inverse Problems. IJCNN (2021)
Luisa Velasco, Evan McClellan, Nobuo Sato, Pawel Ambrozewicz, Tianbo Liu, W. Melnitchouk, Michelle P. Kuchera, Yasir Alanazi, Yaohang Li
cFAT-GAN: Conditional Simulation of Electron-Proton Scattering Events with Variate Beam Energies by a Feature Augmented and Transformed Generative Adversarial Network. ICMLA (2020)
Yasir Alanazi, Nobuo Sato, Tianbo Liu, W. Melnitchouk, Michelle P. Kuchera, Evan Pritchard, Michael Robertson, Ryan R. Strauss, Luisa Velasco, Yaohang Li
Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN). CoRR (2020)