Autoencoder-based Online Data Quality Monitoring for the CMS Electromagnetic Calorimeter - Abhirami Harilal; Kyungmin Park; Michael Andrews; Manfred Paulini (CoRR, 2023)

DeepSNR: A deep learning foundation for offline gravitational wave detection - Michael Andrews; Manfred Paulini; Luke Sellers; Alexey Bobrick; Gianni Martire; Haydn Vestal (CoRR, 2022)

End-to-End Jet Classification of Boosted Top Quarks with the CMS Open Data - Michael Andrews; Bjorn Burkle; Yi-Fan Chen; Davide DiCroce; Sergei Gleyzer; Ulrich Heintz; Meenakshi Narain; Manfred Paulini; Nikolas Pervan; Yusef Shafi; Wei Sun; Kun Yang (CoRR, 2021)

End-to-End Physics Event Classification with CMS Open Data: Applying Image-Based Deep Learning to Detector Data for the Direct Classification of Collision Events at the LHC - Michael Andrews; Manfred Paulini; Sergei Gleyzer; Barnabás Póczos (Comput. Softw. Big Sci., 2020)

End-to-End Jet Classification of Quarks and Gluons with the CMS Open Data - Michael Andrews; John Alison; Sitong An; Patrick Bryant; Bjorn Burkle; Sergei Gleyzer; Meenakshi Narain; Manfred Paulini; Barnabás Póczos; Emanuele Usai (CoRR, 2019)

Machine Learning in High Energy Physics Community White Paper - Kim Albertsson; Piero Altoe; Dustin Anderson; Michael Andrews; Juan Pedro Araque Espinosa; Adam Aurisano; Laurent Basara; Adrian Bevan; Wahid Bhimji; Daniele Bonacorsi; Paolo Calafiura; Mario Campanelli; et al. (CoRR, 2018)

End-to-End Physics Event Classification with the CMS Open Data: Applying Image-based Deep Learning on Detector Data to Directly Classify Collision Events at the LHC - Michael Andrews; Manfred Paulini; Sergei Gleyzer; Barnabás Póczos (CoRR, 2018)