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Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs

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Publications associées à Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs | EPFL Graph Search

Deep Learning Theory Through the Lens of Diagonal Linear Networks

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In this PhD manuscript, we explore optimisation phenomena which occur in complex neural networks through the lens of

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EPFL2024

Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs

Graph Chatbot

Chattez avec Graph Search

Seebeck Coefficient of Ionic Conductors from Bayesian Regression Analysis

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Seebeck Coefficient of Ionic Conductors from Bayesian Regression Analysis

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

Gibbs sampling the posterior of neural networks

Deep Learning Theory Through the Lens of Diagonal Linear Networks

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

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Topics in statistical physics of high-dimensional machine learning

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