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Gregor Kasieczka (Universität Hamburg)05/03/2024 14:50
Recent progress in generative models allows the unsupervised learning and interpolation of high-dimensional distributions. This, for example, makes possible approaches for anomaly detection based on weak supervision by first interpolating into a region with potential signal present, and then training a classifier to find such a potential signal. This lecture and tutorial will introduce the...
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Gregor Kasieczka (Universität Hamburg)05/03/2024 16:05
Recent progress in generative models allows the unsupervised learning and interpolation of high-dimensional distributions. This, for example, makes possible approaches for anomaly detection based on weak supervision by first interpolating into a region with potential signal present, and then training a classifier to find such a potential signal. This lecture and tutorial will introduce the...
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Konstantin Malanchev (University of Illinois at Urbana-Champaign)06/03/2024 09:30
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Konstantin Malanchev (University of Illinois at Urbana-Champaign)06/03/2024 11:10
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