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On Breathing Pattern Information in Synthetic 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

On Breathing Pattern Information in Synthetic Speech

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

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

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

Intraday solar irradiance forecasting using public cameras

Deep Learning Theory Through the Lens of Diagonal Linear Networks

On the number of regions of piecewise linear neural networks

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

InterpretCC: Intrinsic User-Centric Interpretability through Global Mixture of Experts

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

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

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

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

Intraday solar irradiance forecasting using public cameras

Deep Learning Theory Through the Lens of Diagonal Linear Networks

On the number of regions of piecewise linear neural networks

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

InterpretCC: Intrinsic User-Centric Interpretability through Global Mixture of Experts

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