Federico Carminati

According to our database1, Federico Carminati authored at least 9 papers between 2014 and 2019.

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Bibliography

2019
Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics.
CoRR, 2019

Evaluating POWER Architecture for Distributed Training of Generative Adversarial Networks.
Proceedings of the High Performance Computing, 2019

Particle Detector Simulation using Generative Adversarial Networks with Domain Related Constraints.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018
Machine Learning in High Energy Physics Community White Paper.
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CoRR, 2018

Distributed Training of Generative Adversarial Networks for Fast Detector Simulation.
Proceedings of the High Performance Computing, 2018

Three Dimensional Energy Parametrized Generative Adversarial Networks for Electromagnetic Shower Simulation.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Data-Parallel Training of Generative Adversarial Networks on HPC Systems for HEP Simulations.
Proceedings of the 25th IEEE International Conference on High Performance Computing, 2018

2016
Stochastic performance tuning of complex simulation applications using unsupervised machine learning.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2014
Identifying composite crosscutting concerns through semi-supervised learning.
Softw. Pract. Exp., 2014


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