Benoit Da Mota

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Thomas Cauchy

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Publications

2021
[j8]
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Jules Leguy, Marta Glavatskikh, Thomas Cauchy, Benoit Da Mota:
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 13(1): 76 (2021)
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Jules Leguy, Béatrice Duval, Benoit Da Mota, Thomas Cauchy:
Surrogate-Based Black-Box Optimization Method for Costly Molecular Properties. ICTAI 2021: 780-785
[i2]
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  - journals/corr/abs-2110-03522
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Jules Leguy, Thomas Cauchy, Béatrice Duval, Benoit Da Mota:
Surrogate-Based Black-Box Optimization Method for Costly Molecular Properties. CoRR abs/2110.03522 (2021)
2020
[j7]
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Jules Leguy, Thomas Cauchy, Marta Glavatskikh, Béatrice Duval, Benoit Da Mota:
EvoMol: a flexible and interpretable evolutionary algorithm for unbiased de novo molecular generation. J. Cheminformatics 12(1): 55 (2020)
2019
[j6]
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Marta Glavatskikh, Jules Leguy, Gilles Hunault, Thomas Cauchy, Benoit Da Mota:
Dataset's chemical diversity limits the generalizability of machine learning predictions. J. Cheminformatics 11(1): 69:1-69:15 (2019)
[c6]
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Jules Leguy, Thomas Cauchy, Béatrice Duval, Benoit Da Mota:
Des réseaux de neurones pour prédire des distances interatomiques extraites d'une base de données ouverte de calculs en chimie quantique. EGC 2019: 9-20
[c5]
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Jules Leguy, Thomas Cauchy, Béatrice Duval, Benoit Da Mota:
Predicting Interatomic Distances of Molecular Quantum Chemistry Calculations. EGC (best of volume) 2019: 159-174

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