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Fast Nonlinear Extraction of Plasma Equilibrium Parameters Using a Neural Network Mapping

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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

Fast Nonlinear Extraction of Plasma Equilibrium Parameters Using a Neural Network Mapping

Graph Chatbot

Chattez avec Graph Search

Deep Learning Theory Through the Lens of Diagonal Linear Networks

A new variable shape parameter strategy for RBF approximation using neural networks

Privacy-preserving federated neural network training and inference

An exact mapping from ReLU networks to spiking neural networks

Benign Overfitting in Deep Neural Networks under Lazy Training

Theory of Deep Learning: Neural Tangent Kernel and Beyond

Deep Learning Detection of GPS Spoofing

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

Neural Tangent Kernel: Convergence and Generalization in Neural Networks (Invited Paper)

Mixed-Precision Deep Learning Based on Computational Memory

An exact mapping from ReLU networks to spiking neural networks

Theory of Deep Learning: Neural Tangent Kernel and Beyond

Privacy-preserving federated neural network training and inference

Benign Overfitting in Deep Neural Networks under Lazy Training

Deep Learning Detection of GPS Spoofing

Mixed-Precision Deep Learning Based on Computational Memory

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

Deep Learning Theory Through the Lens of Diagonal Linear Networks

A new variable shape parameter strategy for RBF approximation using neural networks

Neural Tangent Kernel: Convergence and Generalization in Neural Networks (Invited Paper)