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Applying Multi- and Cross-Lingual Stochastic Phone Space Transformations to Non-Native Speech Recognition

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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

Applying Multi- and Cross-Lingual Stochastic Phone Space Transformations to Non-Native Speech Recognition

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

Generalization of Scaled Deep ResNets in the Mean-Field Regime

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

Intraday solar irradiance forecasting using public cameras

Machine Learning for Modeling Stock Returns

Explainable Face Verification via Feature-Guided Gradient Backpropagation

Robust NAS under adversarial training: benchmark, theory, and beyond

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

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Random matrix methods for high-dimensional machine learning models

Intraday solar irradiance forecasting using public cameras

Machine Learning for Modeling Stock Returns

Explainable Face Verification via Feature-Guided Gradient Backpropagation

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

Robust NAS under adversarial training: benchmark, theory, and beyond

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

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE