Workshop di CCR: Rimini, 11 - 15 giugno 2018

Session

Machine Learning

14 Jun 2018, 09:00

Sala Quarzo (Hotel Ambasciatori - Rimini)

Conveners

Machine Learning

• Roberto Alfieri (PR)
• Pietro Fedele Spinnato (TIFP)

81. The challenge of reproducibility in Deep Learning at scale

Dr Cesare Furlanello (FBK)

14/06/2018, 09:00

82. Machine Learning in HEP

Daniele Bonacorsi (BO)

14/06/2018, 09:30

83. Machine Learning for Gravitational waves. Deep learning methods to study the noise of interferometers

Elena Cuoco (PI), Massimiliano Razzano (PI)

14/06/2018, 10:00

Noise of non-astrophysical origin contaminates science data taken by the Advanced Laser Interferometer Gravitational-wave Observatory and Advanced Virgo gravitational-wave detectors. Characterization of instrumental and environmental noise transients has proven critical in identifying false positives in the first observing runs. Machine-Learning techniques have, in recent years, become more...

84. Machine learning in KM3NeT

Dr Cristiano Bozza (University of Salerno and INFN)

14/06/2018, 10:30

The KM3NeT Collaboration is building a network of water Cherenkov neutrino detectors in the Mediterranean sea, with the multiple aims of observing astrophysical sources of high energy neutrinos and studying the neutrino mass hierarchy. Various techniques of Machine Learning, such as BDTs, Random Forests, Shallow and Deep Networks are in use and/or under exploration for diverse usage, ranging...