Federico Carminati | DeepAI

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Featured Co-authors

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research

∙ 01/26/2021

Quantum Generative Adversarial Networks in a Continuous-Variable Architecture to Simulate High Energy Physics Detectors

Deep Neural Networks (DNNs) come into the limelight in High Energy Physi...

0 Su Yeon Chang, et al. ∙

research

∙ 12/14/2019

Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics

Using detailed simulations of calorimeter showers as training data, we i...

0 Dawit Belayneh, et al. ∙

research

∙ 07/08/2018

Machine Learning in High Energy Physics Community White Paper

Machine learning is an important research area in particle physics, begi...

0 Kim Albertsson, et al. ∙