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Marco Loog

Inductive Conformal Prediction under Data Scarcity: Exploring the Impacts of Nonconformity Measures

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Oct 13, 2024
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A Survey of Learning Curves with Bad Behavior: or How More Data Need Not Lead to Better Performance

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Nov 25, 2022
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A view on model misspecification in uncertainty quantification

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Nov 02, 2022
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An Analysis of Abstracted Model-Based Reinforcement Learning

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Aug 30, 2022
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On the reusability of samples in active learning

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Jun 13, 2022
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Why Did This Model Forecast This Future? Closed-Form Temporal Saliency Towards Causal Explanations of Probabilistic Forecasts

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Jun 01, 2022
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Enhancing Classifier Conservativeness and Robustness by Polynomiality

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Mar 23, 2022
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Social Processes: Self-Supervised Forecasting of Nonverbal Cues in Social Conversations

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Jul 28, 2021
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Resolution learning in deep convolutional networks using scale-space theory

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Jun 30, 2021
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The Shape of Learning Curves: a Review

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Mar 19, 2021
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