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Q&A: Why use synchrotron x-ray tomography for multi-scale connectome mapping?

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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

Q&A: Why use synchrotron x-ray tomography for multi-scale connectome mapping?

Graph Chatbot

Chattez avec Graph Search

Direct observations of X-rays produced by upward positive lightning

A compact approach to higher-resolution resonant inelastic x-ray scattering detection using photoelectrons

White adipose tissue distribution and amount are associated with increased white matter connectivity

X-ray chemical imaging for assessing redox microsites within soils and sediments

Driving and suppressing the human language network using large language models

Impact of CO2-rich seawater injection on the flow properties of basalts

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Machine Learning for Modeling Stock Returns

Deep Learning Theory Through the Lens of Diagonal Linear Networks

A compact approach to higher-resolution resonant inelastic x-ray scattering detection using photoelectrons

White adipose tissue distribution and amount are associated with increased white matter connectivity

Direct observations of X-rays produced by upward positive lightning

Driving and suppressing the human language network using large language models

X-ray chemical imaging for assessing redox microsites within soils and sediments

Impact of CO2-rich seawater injection on the flow properties of basalts

Machine Learning for Modeling Stock Returns

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Deep Learning Theory Through the Lens of Diagonal Linear Networks