12:00
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Simplified Limits on Resonances at the LHC
-
Kirtimaan Mohan
(Michigan State University)
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12:20
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--- Lunch break ---
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13:30
|
Constraining Quirky Tracks with Conventional Searches
-
Matthew Low
|
14:00
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Setting limits on Effective Field Theories: the case of Dark Matter
- Mr
Federico Pobbe
(Università di Padova)
|
14:30
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Signatures for SUSY with light higgsino: from here to HL- and HE-LHC
-
Howard Baer
(University of Oklahoma)
|
15:00
|
--- Coffee & tea break ---
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15:30
|
SCYNet - Testing supersymmetric models at the LHC with neural networks
-
Matthias Hamer
(University of Bonn (DE))
(Ramsey Auditorium)
|
16:00
|
Machine learning for interpretation
-
Kyle Stuart Cranmer
(New York University (US))
(Ramsey Auditorium)
|
16:30
|
What is the machine learning?
-
Tim Cohen
(University of Oregon)
(Ramsey Auditorium)
|
17:00
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Recasting analyses that use machine learning -- Case study: CMS-SUS-16-050
-
Nadja Strobbe
(Fermi National Accelerator Lab. (US))
(Ramsey Auditorium)
|
17:15
|
General discussion, future plans
-
Zhen Liu
(Fermilab)
Sabine Kraml
(Centre National de la Recherche Scientifique (FR))
Sezen Sekmen
(Kyungpook National University (KR))
(Ramsey Auditorium)
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