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Réseau neuronal résiduel

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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

Réseau neuronal résiduel

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Intraday solar irradiance forecasting using public cameras

Digital Twins of Stone Masonry Buildings for Damage Assessment

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

On the number of regions of piecewise linear neural networks

Deep Learning Theory Through the Lens of Diagonal Linear Networks

DBFS: Dynamic Bitwidth-Frequency Scaling for Efficient Software-defined SIMD

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

Random matrix methods for high-dimensional machine learning models

Partial discharge localization in power transformer tanks using machine learning methods

Topics in statistical physics of high-dimensional machine learning

DBFS: Dynamic Bitwidth-Frequency Scaling for Efficient Software-defined SIMD

On the number of regions of piecewise linear neural networks

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

Random matrix methods for high-dimensional machine learning models

Topics in statistical physics of high-dimensional machine learning

Digital Twins of Stone Masonry Buildings for Damage Assessment

Intraday solar irradiance forecasting using public cameras

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

Partial discharge localization in power transformer tanks using machine learning methods