Validation of Deep Convolutional Generative Adversarial Networks for High Energy Physics Calorimeter Simulations.
Florian RehmSofia VallecorsaKerstin BorrasDirk KrückerPublished in: AAAI Spring Symposium: MLPS (2021)
Keyphrases
- high energy physics
- deep learning
- scientific data
- network topologies
- generative model
- network design
- multi agent
- bitmap indices
- network architecture
- social networks
- complex networks
- network analysis
- agent based simulations
- database
- network size
- heterogeneous networks
- sparse coding
- numerical simulations
- network structure
- data driven
- databases
- data sets