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Empirical study of the topology and geometry of deep networks

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Empirical study of the topology and geometry of deep networks

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Generalization of Scaled Deep ResNets in the Mean-Field Regime

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning

Robust machine learning for neuroscientific inference

Partial discharge localization in power transformer tanks using machine learning methods

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

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

Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging

Topics in statistical physics of high-dimensional machine learning

Predicting the long-term collective behaviour of fish pairs with deep learning

Machine learning-aided generative molecular design