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Partial discharge localization in power transformer tanks using machine learning methods

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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

Partial discharge localization in power transformer tanks using machine learning methods

Graph Chatbot

Chattez avec Graph Search

Topics in statistical physics of high-dimensional machine learning

Random matrix methods for high-dimensional machine learning models

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging

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

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

Spectral Estimators for High-Dimensional Matrix Inference

Explainable Fault Diagnosis of Oil-Immersed Transformers: A Glass-Box Model

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Intermediate complexity atmospheric modeling in complex terrain: is it right?

Topics in statistical physics of high-dimensional machine learning

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

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Spectral Estimators for High-Dimensional Matrix Inference

Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Intermediate complexity atmospheric modeling in complex terrain: is it right?

Explainable Fault Diagnosis of Oil-Immersed Transformers: A Glass-Box Model