O. Duranthon

Orcid: 0009-0006-2122-6932

Affiliations:
  • EPFL, Lausanne, Switzerland


According to our database1, O. Duranthon authored at least 6 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Statistical physics analysis of graph neural networks: Approaching optimality in the contextual stochastic block model.
CoRR, March, 2025

2024
Optimal Inference in Contextual Stochastic Block Models.
Trans. Mach. Learn. Res., 2024

Asymptotic Generalization Error of a Single-Layer Graph Convolutional Network.
Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

2023
Neural-prior stochastic block model.
Mach. Learn. Sci. Technol., September, 2023

2020
Goldilock rules, Quantum cellular automata and coarse-graining.
CoRR, 2020

2019
Maximal Relevance and Optimal Learning Machines.
CoRR, 2019


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