Publication

Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs

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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

Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs

Graph Chatbot

Chattez avec Graph Search

Partial discharge localization in power transformer tanks using machine learning methods

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

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Spectral Estimators for High-Dimensional Matrix Inference

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

Topics in statistical physics of high-dimensional machine learning

Generalization of Scaled Deep ResNets in the Mean-Field Regime

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

Understanding generalization and robustness in modern deep learning

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

Partial discharge localization in power transformer tanks using machine learning methods

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

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Spectral Estimators for High-Dimensional Matrix Inference

Generalization of Scaled Deep ResNets in the Mean-Field Regime

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

Understanding generalization and robustness in modern deep learning

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

Topics in statistical physics of high-dimensional machine learning

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights