ResearchTrend.AI
Selectively increasing the diversity of GAN-generated samples

Selectively increasing the diversity of GAN-generated samples

Jan Dubiñski
Kamil Deja
S. Wenzel
Przemyslaw Rokita
Tomasz Trzciñski
    GAN
ArXivPDFHTML

Papers citing "Selectively increasing the diversity of GAN-generated samples"

1 / 1 papers shown
Title
Generative Diffusion Models for Fast Simulations of Particle Collisions at CERN
Generative Diffusion Models for Fast Simulations of Particle Collisions at CERN
Mikołaj Kita
Jan Dubiñski
Przemysław Rokita
Kamil Deja
DiffM
AI4CE
37
2
0
05 Jun 2024