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Feature learning

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Mutation-Attention (MuAt): deep representation learning of somatic mutations for tumour typing and subtyping

Neural Distributed Image Compression with Cross-Attention Feature Alignment

Breaking the Curse of Dimensionality in Deep Neural Networks by Learning Invariant Representations

Robust Outlier Rejection for 3D Registration with Variational Bayes

Equivariant Neural Architectures for Representing and Generating Graphs

On the Privacy-Robustness-Utility Trilemma in Distributed Learning

Backpropagation-free training of deep physical neural networks

DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices

Learning Robust and Adaptive Representations: from Interactions, for Interactions

Transfer learning application of self-supervised learning in ARPES