Pileup mitigation at the Large Hadron Collider with Graph Neural Networks. - Jesus Arjona Martinez; Olmo Cerri; Maurizio Pierini; Maria Spiropulu; Jean-Roch Vlimant (CoRR, 2018)

Variational Autoencoders for New Physics Mining at the Large Hadron Collider. - Olmo Cerri; Thong Q. Nguyen; Maurizio Pierini; Maria Spiropulu; Jean-Roch Vlimant (CoRR, 2018)

Topology Classification with Deep Learning to Improve Real-Time Event Selection at the LHC. - Thong Q. Nguyen; Daniel Weitekamp III; Dustin Anderson; Roberto Castello; Olmo Cerri; Maurizio Pierini; Maria Spiropulu; Jean-Roch Vlimant (Comput. Softw. Big Sci., 2019)

Adversarially Learned Anomaly Detection on CMS Open Data: re-discovering the top quark. - Oliver Knapp; Günther Dissertori; Olmo Cerri; Thong Q. Nguyen; Jean-Roch Vlimant; Maurizio Pierini (CoRR, 2020)

Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning. - Cheng Chen; Olmo Cerri; Thong Q. Nguyen; Jean-Roch Vlimant; Maurizio Pierini (CoRR, 2020)

Analysis-Specific Fast Simulation at the LHC with Deep Learning. - Cheng Chen; Olmo Cerri; Thong Q. Nguyen; Jean-Roch Vlimant; Maurizio Pierini (Comput. Softw. Big Sci., 2021)