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Weight Initialization for High Order and Multilayer Perceptrons

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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

Weight Initialization for High Order and Multilayer Perceptrons

Graph Chatbot

Chattez avec Graph Search

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Benign Overfitting in Deep Neural Networks under Lazy Training

Privacy-preserving federated neural network training and inference

Sharp asymptotics on the compression of two-layer neural networks

Deep Learning Detection of GPS Spoofing

Exploring quantum perceptron and quantum neural network structures with a teacher-student scheme

Advances In Morphological Neural Networks: Training, Pruning And Enforcing Shape Constraints

Crowding and the importance of grouping and segmentation processes in human vision

Disentangling feature and lazy training in deep neural networks

Mixed-Precision Deep Learning Based on Computational Memory

Benign Overfitting in Deep Neural Networks under Lazy Training

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Privacy-preserving federated neural network training and inference

Disentangling feature and lazy training in deep neural networks

Sharp asymptotics on the compression of two-layer neural networks

Deep Learning Detection of GPS Spoofing

Advances In Morphological Neural Networks: Training, Pruning And Enforcing Shape Constraints

Crowding and the importance of grouping and segmentation processes in human vision

Mixed-Precision Deep Learning Based on Computational Memory

Exploring quantum perceptron and quantum neural network structures with a teacher-student scheme