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Safe Deep Neural Networks

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Safe Deep Neural Networks

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On the number of regions of piecewise linear neural networks

From Kernel Methods to Neural Networks: A Unifying Variational Formulation

Benign Overfitting in Deep Neural Networks under Lazy Training

An exact mapping from ReLU networks to spiking neural networks

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

Deep Learning Generalization with Limited and Noisy Labels

Supervised learning and inference of spiking neural networks with temporal coding

Bed Topography Inference from Velocity Field Using Deep Learning.

Fundamental Limits in Statistical Learning Problems: Block Models and Neural Networks

Leveraging Unlabeled Data to Track Memorization