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Deep learning on graph for semantic segmentation of point cloud

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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

Deep learning on graph for semantic segmentation of point cloud

Graph Chatbot

Chattez avec Graph Search

The connection of the acyclic disconnection and feedback arc sets - On an open problem of Figueroa et al.

The Power of Two Matrices in Spectral Algorithms for Community Recovery

Towards an Understanding of Hydraulic Sensitivity: Graph Theory Contributions to Water Distribution Analysis

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

Deep Learning Theory Through the Lens of Diagonal Linear Networks

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

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Towards improving full-length ribosome density prediction by bridging sequence and graph-based representations

Recovering Static and Time-Varying Communities Using Persistent Edges

Generalization of Scaled Deep ResNets in the Mean-Field Regime

The connection of the acyclic disconnection and feedback arc sets - On an open problem of Figueroa et al.

The Power of Two Matrices in Spectral Algorithms for Community Recovery

Towards an Understanding of Hydraulic Sensitivity: Graph Theory Contributions to Water Distribution Analysis

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

Deep Learning Theory Through the Lens of Diagonal Linear Networks

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

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Towards improving full-length ribosome density prediction by bridging sequence and graph-based representations

Recovering Static and Time-Varying Communities Using Persistent Edges

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks