Benoit Da Mota

23 papers B 3Journal 12Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	A Transformer Model for Predicting Chemical Products from Generic SMARTS Templates with Data Augmentation. ICTAI Derin Ozer, Sylvain Lamprier, Nicolas Gutowski, Benoit Da Mota, Thomas Cauchy
2025	J	`jnl`	A Transformer Model for Predicting Chemical Reaction Products from Generic Templates. CoRR Derin Ozer, Sylvain Lamprier, Thomas Cauchy, Nicolas Gutowski, Benoit Da Mota
2025	B	`conf`	Guiding Evolutionary Molecular Design: Adding Reinforcement Learning for Mutation Selection. ICTAI Gaëlle Milon-Harnois, Chaïmaâ Touhami, Nicolas Gutowski, Benoit Da Mota, Thomas Cauchy
2025	J	`jnl`	Guiding Evolutionary Molecular Design: Adding Reinforcement Learning for Mutation Selection. CoRR Gaëlle Milon-Harnois, Chaïmaâ Touhami, Nicolas Gutowski, Benoit Da Mota, Thomas Cauchy
2025	—	`conf`	Rethinking NLP for Chemistry: A Critical Look at the USPTO Benchmark. EMNLP (Findings) Derin Ozer, Nicolas Gutowski, Benoit Da Mota, Thomas Cauchy, Sylvain Lamprier
2021	J	`jnl`	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 Jules Leguy, Marta Glavatskikh, Thomas Cauchy, Benoit Da Mota
2021	B	`conf`	Surrogate-Based Black-Box Optimization Method for Costly Molecular Properties. ICTAI Jules Leguy, Béatrice Duval, Benoit Da Mota, Thomas Cauchy
2021	J	`jnl`	Surrogate-Based Black-Box Optimization Method for Costly Molecular Properties. CoRR Jules Leguy, Thomas Cauchy, Béatrice Duval, Benoit Da Mota
2020	J	`jnl`	EvoMol: a flexible and interpretable evolutionary algorithm for unbiased de novo molecular generation. J. Cheminformatics Jules Leguy, Thomas Cauchy, Marta Glavatskikh, Béatrice Duval, Benoit Da Mota
2019	J	`jnl`	Dataset's chemical diversity limits the generalizability of machine learning predictions. J. Cheminformatics Marta Glavatskikh, Jules Leguy, Gilles Hunault, Thomas Cauchy, Benoit Da Mota
2019	—	`conf`	Des réseaux de neurones pour prédire des distances interatomiques extraites d'une base de données ouverte de calculs en chimie quantique. EGC Jules Leguy, Thomas Cauchy, Béatrice Duval, Benoit Da Mota
2019	—	`conf`	Predicting Interatomic Distances of Molecular Quantum Chemistry Calculations. EGC (best of volume) Jules Leguy, Thomas Cauchy, Béatrice Duval, Benoit Da Mota
2015	J	`jnl`	Robust regression for large-scale neuroimaging studies. NeuroImage Virgile Fritsch, Benoit Da Mota, Eva Loth, Gaël Varoquaux, Tobias Banaschewski, Gareth J. Barker, Arun L. W. Bokde, Rüdiger Brühl, Brigitte Butzek, Patricia J. Conrod, Herta Flor, Hugh Garavan, Hervé Lemaître, Karl Mann, Frauke Nees, Tomás Paus, Daniel J. Schad, Gunter Schümann, Vincent Frouin, Jean-Baptiste Poline, Bertrand Thirion
2014	J	`jnl`	Generic Machine Learning Pattern for Neuroimaging-Genetic Studies in the Cloud. Frontiers Neuroinformatics Benoit Da Mota, Radu Tudoran, Alexandru Costan, Gaël Varoquaux, Goetz Brasche, Patricia J. Conrod, Hervé Lemaître, Tomás Paus, Marcella Rietschel, Vincent Frouin, Jean-Baptiste Poline, Gabriel Antoniu, Bertrand Thirion
2014	J	`jnl`	Randomized parcellation based inference. NeuroImage Benoit Da Mota, Virgile Fritsch, Gaël Varoquaux, Tobias Banaschewski, Gareth J. Barker, Arun L. W. Bokde, Uli Bromberg, Patricia J. Conrod, Jürgen Gallinat, Hugh Garavan, Jean-Luc Martinot, Frauke Nees, Tomás Paus, Zdenka Pausova, Marcella Rietschel, Michael N. Smolka, Andreas Ströhle, Vincent Frouin, Jean-Baptiste Poline, Bertrand Thirion
2013	—	`conf`	Enhancing the Reproducibility of Group Analysis with Randomized Brain Parcellations. MICCAI (2) Benoit Da Mota, Virgile Fritsch, Gaël Varoquaux, Vincent Frouin, Jean-Baptiste Poline, Bertrand Thirion
2013	—	`conf`	Robust Group-Level Inference in Neuroimaging Genetic Studies. PRNI Virgile Fritsch, Benoit Da Mota, Gaël Varoquaux, Vincent Frouin, Eva Loth, Jean-Baptiste Poline, Bertrand Thirion
2012	J	`jnl`	A-Brain: Using the Cloud to Understand the Impact of Genetic Variability on the Brain. ERCIM News Gabriel Antoniu, Alexandru Costan, Benoit Da Mota, Bertrand Thirion, Radu Tudoran
2011	J	`jnl`	Équivalences et forme prénexe pour les formules booléennes quantifiées. Rev. d'Intelligence Artif. Benoit Da Mota
2010	—	`conf`	A new parallel architecture for QBF tools. HPCS Benoit Da Mota, Pascal Nicolas, Igor Stéphan
2010	—	`—`	Formules booléennes quantifiées : transformations formelles et calculs parallèles. (Quantified boolean formulae : formal processings and parallel computations). Benoit Da Mota
2009	—	`conf`	A Unified Framework for Certificate and Compilation for QBF. ICLA Igor Stéphan, Benoit Da Mota
2009	J	`jnl`	From (Quantified) Boolean Formulae to Answer Set Programming. J. Log. Comput. Igor Stéphan, Benoit Da Mota, Pascal Nicolas