154 citations · 341 across the 8 of their papers we have counts for
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hep-ph2020★ 44 cited
DCTRGAN: Improving the Precision of Generative Models with Reweighting
Sascha Diefenbacher, Engin Eren, Gregor Kasieczka +3
Significant advances in deep learning have led to more widely used and precise neural network-based generative models such as Generative Adversarial Networks (GANs). We introduce a…
physics.ins-det2020★ 154 cited
Getting High: High Fidelity Simulation of High Granularity Calorimeters with High Speed
Erik Buhmann, Sascha Diefenbacher, Engin Eren +4
Accurate simulation of physical processes is crucial for the success of modern particle physics. However, simulating the development and interaction of particle showers with calori…