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Feature learning

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Learning rich optical embeddings for privacy-preserving lensless image classification

Latent Space Slicing for Enhanced Entropy Modeling in Learning-Based Point Cloud Geometry Compression

Kernel Methods and Similarity Learning Applied in Computational Chemistry

From Undercomplete to Sparse Overcomplete Autoencoders to Improve LF-MMI Speech Recognition

Automatic pathological speech assessment

Deep learning approaches for conformational flexibility and switching properties in protein design

Generalization of an Encoder-Decoder LSTM model for flood prediction in ungauged catchments

Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions

Self-supervised Segmentation via Background Inpainting

Metric learning for kernel ridge regression: assessment of molecular similarity