Jules Leguy

Orcid: 0000-0002-6808-7806

According to our database1, Jules Leguy authored at least 7 papers between 2019 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Recherche combinatoire guidée par apprentissage artificiel en chimie moléculaire. (Combinatorial search lead by machine learning for molecular chemistry).
PhD thesis, 2022

2021
Scalable estimator of the diversity for de novo molecular generation resulting in a more robust QM dataset (OD9) and a more efficient molecular optimization.
J. Cheminformatics, 2021

Surrogate-Based Black-Box Optimization Method for Costly Molecular Properties.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020
EvoMol: a flexible and interpretable evolutionary algorithm for unbiased de novo molecular generation.
J. Cheminformatics, 2020

2019
Dataset's chemical diversity limits the generalizability of machine learning predictions.
J. Cheminformatics, 2019

Predicting Interatomic Distances of Molecular Quantum Chemistry Calculations.
Proceedings of the Advances in Knowledge Discovery and Management, 2019

Des réseaux de neurones pour prédire des distances interatomiques extraites d'une base de données ouverte de calculs en chimie quantique.
Proceedings of the Extraction et Gestion des connaissances, 2019


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