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Novel Methods For Detection And Analysis Of Atypical Aspects In Speech

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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

Novel Methods For Detection And Analysis Of Atypical Aspects In Speech

Graph Chatbot

Chattez avec Graph Search

Training a Filter-Based Model of the Cochlea in the Context of Pre-Trained Acoustic Models

Probing and modulating inter-areal coupling in the cortical visual motion processing pathway with non-invasive brain stimulation

Intraday solar irradiance forecasting using public cameras

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Digital Twins of Stone Masonry Buildings for Damage Assessment

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

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Random matrix methods for high-dimensional machine learning models

Residual-based attention in physics-informed neural networks

Training a Filter-Based Model of the Cochlea in the Context of Pre-Trained Acoustic Models

Probing and modulating inter-areal coupling in the cortical visual motion processing pathway with non-invasive brain stimulation

Generalization of Scaled Deep ResNets in the Mean-Field Regime

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

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Random matrix methods for high-dimensional machine learning models

Residual-based attention in physics-informed neural networks

Deep Learning Theory Through the Lens of Diagonal Linear Networks