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physics.comp-ph2019★ 1 cited
Cosmological N-body simulations: a challenge for scalable generative models
Nathanaël Perraudin, Ankit Srivastava, Aurelien Lucchi +3
Deep generative models, such as Generative Adversarial Networks (GANs) or Variational Autoencoders (VAs) have been demonstrated to produce images of high visual quality. However, t…
physics.comp-ph2018★ 1 cited
Deep Convolutional Neural Networks for Eigenvalue Problems in Mechanics
David Finol, Yan Lu, Vijay Mahadevan +1
We show that deep convolutional neural networks (CNN) can massively outperform traditional densely-connected neural networks (both deep or shallow) in predicting eigenvalue problem…