Nathan de Lara

According to our database, Nathan de Lara authored at least 8 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Consistent Diffusion-Based Algorithm for Semi-Supervised Graph Learning.

Thomas Bonald, Nathan de Lara

Proceedings of the Complex Networks & Their Applications XII, 2023

Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning.

Flemming Kondrup, Thomas Jiralerspong, Elaine Lau, Nathan de Lara, Jacob Shkrob, My Duc Tran, Doina Precup, Sumana Basu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2020

Algorithmic and software contributions to graph mining. (Contributions algorithmiques et logicielle à l'apprentissage automatique sur les graphes).

Nathan de Lara

PhD thesis, 2020

Scikit-network: Graph Analysis in Python.

Thomas Bonald, Nathan de Lara, Quentin Lutz, Bertrand Charpentier

J. Mach. Learn. Res., 2020

A Consistent Diffusion-Based Algorithm for Semi-Supervised Classification on Graphs.

Nathan de Lara, Thomas Bonald

CoRR, 2020

Spectral Embedding of Regularized Block Models.

Nathan de Lara, Thomas Bonald

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Graph Classification with Recurrent Variational Neural Networks.

Edouard Pineau, Nathan de Lara

CoRR, 2019

2018

A Simple Baseline Algorithm for Graph Classification.

Nathan de Lara, Edouard Pineau

CoRR, 2018