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Prior knowledge in Kernel methods

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Prior knowledge in Kernel methods

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Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Match Normalization: Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World

Bayes-optimal Learning of Deep Random Networks of Extensive-width

End-to-end kernel learning via generative random Fourier features

Self-Supervised Bayesian representation learning of acoustic emissions from laser powder bed Fusion process for in-situ monitoring

Error scaling laws for kernel classification under source and capacity conditions

Optimizing in-situ monitoring for laser powder bed fusion process: Deciphering acoustic emission and sensor sensitivity with explainable machine learning

Using machine learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan region

The statistical complexity of early-stopped mirror descent

Enriching the Computational Toolbox for Organocatalysis