CERN
Author in the following contributions
- Large-Scale Distributed Training of Deep Neural Net Models
- Synthesizing Machine Learning algorithms on FPGA
- Anomaly detection using Deep Autoencoders for the assessment of the quality of the data acquired by the CMS experiment
- Online detector monitoring using AI: challenges, prototypes and performance evaluation for automation of online quality monitoring of the CMS experiment exploiting machine learning algorithms.
- Training Generative Adversarial Models over Distributed Computing Systems
- Improving the use of data quality metadata via a partnership of technologies and resources between the CMS experiment at CERN and industry
