Concept

Réseau de neurones récurrents

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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

Réseau de neurones récurrents

Graph Chatbot

Chattez avec Graph Search

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

Deep Learning Theory Through the Lens of Diagonal Linear Networks

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Biophysically accurate and machine learning-based surrogate models to optimize neuroprosthesis design and operation

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Biophysically accurate and machine learning-based surrogate models to optimize neuroprosthesis design and operation

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Intraday solar irradiance forecasting using public cameras

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

On the number of regions of piecewise linear neural networks

Driving and suppressing the human language network using large language models

The neural correlates of topographical disorientation-a lesion analysis study

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

The 2024 Magnonics Roadmap

Detecting Road Obstacles by Erasing Them