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Generalization Properties of NAS under Activation and Skip Connection Search

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Deep Learning Theory Through the Lens of Diagonal Linear Networks

Scott William Pesme

In this PhD manuscript, we explore optimisation phenomena which occur in complex neural networks through the lens of

2

-layer diagonal linear networks. This rudimentary architecture, which consists of a two layer feedforward linear network with a diagonal ...

EPFL2024

Generalization Properties of NAS under Activation and Skip Connection Search

Graph Chatbot

Chattez avec Graph Search

Deep Learning Theory Through the Lens of Diagonal Linear Networks

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Explainable Face Verification via Feature-Guided Gradient Backpropagation

Deep Learning Theory Through the Lens of Diagonal Linear Networks

From Kernel Methods to Neural Networks: A Unifying Variational Formulation

Benign Overfitting in Deep Neural Networks under Lazy Training

Probabilistic methods for neural combinatorial optimization

Deep Learning Generalization with Limited and Noisy Labels

Hamiltonian Deep Neural Networks Guaranteeing Non-Vanishing Gradients by Design

Transformer Models for Vision

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

Robust NAS under adversarial training: benchmark, theory, and beyond