Publications associées à Space crossing numbers

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

The power of adaptivity in source identification with time queries on the path

Patrick Thiran, Gergely Odor, Victor Cyril L Lecomte

We study the problem of identifying the source of a stochastic diffusion process spreading on a graph based on the arrival times of the diffusion at a few queried nodes. In a graph

G=(V,E)

, an unknown source node

v^* \in V

is drawn uniformly at random, ...

2022

Space crossing numbers

Graph Chatbot

Chattez avec Graph Search

Graph-based approximate message passing iterations

Distributed Graph Learning With Smooth Data Priors

Generalised Implicit Neural Representations

Maintenance scheduling of manufacturing systems based on optimal price of the network

Reduced representations of complexes, signals, and multifiltrations

The power of adaptivity in source identification with time queries on the path

On the constancy theorem for anisotropic energies through differential inclusions

Partition and Code: learning how to compress graphs

Scalable Robust Graph Embedding with Spark

Figlearn: Filter And Graph Learning Using Optimal Transport

Distributed Graph Learning With Smooth Data Priors

Graph-based approximate message passing iterations

Generalised Implicit Neural Representations

Partition and Code: learning how to compress graphs

Maintenance scheduling of manufacturing systems based on optimal price of the network

Reduced representations of complexes, signals, and multifiltrations

On the constancy theorem for anisotropic energies through differential inclusions

Scalable Robust Graph Embedding with Spark

Figlearn: Filter And Graph Learning Using Optimal Transport

The power of adaptivity in source identification with time queries on the path