Machine Learning Physics Jamboree
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US/Pacific
Kavli, 3rd floor (SLAC)
Kavli, 3rd floor
SLAC
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13:00
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13:20
Introduction 20mSpeaker: Ariel Gustavo Schwartzman (SLAC National Accelerator Laboratory (US))
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13:30
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13:50
Machine learning with probabilistic models for jet physics 20mSpeaker: Ben Nachman (SLAC National Accelerator Laboratory (US))
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14:00
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14:20
Machine learning with computer vision for jet physics 20mSpeakers: Ben Nachman (SLAC National Accelerator Laboratory (US)), Luke Percival De Oliveira (SLAC National Accelerator Laboratory (US)), Michael Aaron Kagan (SLAC National Accelerator Laboratory (US))
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14:30
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14:50
Machine learning with recurrent neural networks for b-quark identification 20mSpeakers: Michael Aaron Kagan (SLAC National Accelerator Laboratory (US)), Qi Zeng (SLAC National Accelerator Laboratory (US)), Zihao Jiang (Stanford University (US))
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15:00
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15:20
Measuring color flow with machine learning 20mSpeakers: Anton Apostolatos (Computer Science Department, Stanford University), Bronner Lenny (Computer Science Department, Stanford University), Guy Amdur (Computer Science Department, Stanford University)
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15:30
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16:00
Coffee break 30m
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16:00
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16:20
Exploring the Limits of Classification Accuracy 20mSpeakers: Carolyn Kim (Computer Science Department, Stanford University), Lester Mackey (Statistics Department, Stanford University)
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16:30
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16:50
Using artificial intelligence to suppress pileup 20mSpeaker: Aviv Ruben Cukierman (SLAC National Accelerator Laboratory (US))
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17:00
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17:20
Pileup subtraction using regression methods 20mSpeakers: Jiakun Li (Electrical Engineering Department, Stanford University), Vein Kong (Electrical Engineering Department, Stanford University), Yujia Zhang (Electrical Engineering Department, Stanford University)
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17:30
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17:50
Concluding remarks 20mSpeakers: Ben Nachman (SLAC National Accelerator Laboratory (US)), Michael Aaron Kagan (SLAC National Accelerator Laboratory (US))
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13:00
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13:20