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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

Laboratoire de traitement des signaux 2

Graph Chatbot

Chattez avec Graph Search

Data-Driven Reactive Power Optimization of Distribution Networks via Graph Attention Networks

Euclid: The search for primordial features

Data-driven LPV Control for Micro-disturbance Rejection in a Hybrid Isolation Platform

Reducing Annotation Efforts in Electricity Theft Detection Through Optimal Sample Selection

In-Sensor Passive Speech Classification with Phononic Metamaterials

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Residual-based attention in physics-informed neural networks

SVGC-AVA: 360-Degree Video Saliency Prediction With Spherical Vector-Based Graph Convolution and Audio-Visual Attention

Randomized low-rank approximation and its applications

Euclid: The search for primordial features

Data-driven LPV Control for Micro-disturbance Rejection in a Hybrid Isolation Platform

Data-Driven Reactive Power Optimization of Distribution Networks via Graph Attention Networks

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Residual-based attention in physics-informed neural networks

Reducing Annotation Efforts in Electricity Theft Detection Through Optimal Sample Selection

Randomized low-rank approximation and its applications

In-Sensor Passive Speech Classification with Phononic Metamaterials

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

SVGC-AVA: 360-Degree Video Saliency Prediction With Spherical Vector-Based Graph Convolution and Audio-Visual Attention