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12:00 PM
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Simplified Limits on Resonances at the LHC
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Kirtimaan Mohan
(Michigan State University)
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12:20 PM
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--- Lunch break ---
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1:30 PM
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Constraining Quirky Tracks with Conventional Searches
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Matthew Low
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2:00 PM
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Setting limits on Effective Field Theories: the case of Dark Matter
- Mr
Federico Pobbe
(Università di Padova)
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2:30 PM
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Signatures for SUSY with light higgsino: from here to HL- and HE-LHC
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Howard Baer
(University of Oklahoma)
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3:00 PM
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--- Coffee & tea break ---
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3:30 PM
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SCYNet - Testing supersymmetric models at the LHC with neural networks
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Matthias Hamer
(University of Bonn (DE))
(Ramsey Auditorium)
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4:00 PM
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Machine learning for interpretation
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Kyle Stuart Cranmer
(New York University (US))
(Ramsey Auditorium)
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4:30 PM
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What is the machine learning?
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Tim Cohen
(University of Oregon)
(Ramsey Auditorium)
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5:00 PM
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Recasting analyses that use machine learning -- Case study: CMS-SUS-16-050
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Nadja Strobbe
(Fermi National Accelerator Lab. (US))
(Ramsey Auditorium)
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5:15 PM
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General discussion, future plans
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Zhen Liu
(Fermilab)
Sabine Kraml
(Centre National de la Recherche Scientifique (FR))
Sezen Sekmen
(Kyungpook National University (KR))
(Ramsey Auditorium)
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