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Balázs Kégl
Balázs Kégl
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Disciplines:
Computer sciences
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Directed Thesis:
Deep generative neural networks for novelty generation : a foundational framework, metrics and experiments
Sequential prediction for budgeted learning : Application to trigger design
Towards adaptive learning and inference : applications to hyperparameter tuning and astroparticle physics