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

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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

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

Graph Chatbot

Chattez avec Graph Search

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Random matrix methods for high-dimensional machine learning models

Topics in statistical physics of high-dimensional machine learning

Empirical Sample Complexity of Neural Network Mixed State Reconstruction

On the number of regions of piecewise linear neural networks

Quantum Protocols for ML, Physics, and Finance

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

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

Ultra-high quantum coherent and scalable superconducting circuit optomechanics, from topological lattices to quantum storage

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

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Random matrix methods for high-dimensional machine learning models

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Ultra-high quantum coherent and scalable superconducting circuit optomechanics, from topological lattices to quantum storage

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

Topics in statistical physics of high-dimensional machine learning

Quantum Protocols for ML, Physics, and Finance

Empirical Sample Complexity of Neural Network Mixed State Reconstruction

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

On the number of regions of piecewise linear neural networks