California Institute of Technology (US)
Author in the following contributions
- Particle track building with Recurrent Neural Networks
- The HEP.TrkX project. Approaching Charged Particle Tracking at the HL-LHC with Deep Learning, for Online and Offline Processing
- Large-Scale Distributed Training of Deep Neural Net Models
- Anomaly detection using Deep Autoencoders for the assessment of the quality of the data acquired by the CMS experiment
- Training Generative Adversarial Models over Distributed Computing Systems
- trackML : the Kaggle HEP tracking challenge
- CMS Workflow Failures Recovery Panel, Towards AI-assisted Operation
- Improving the use of data quality metadata via a partnership of technologies and resources between the CMS experiment at CERN and industry
