Thomas Cauchy

According to our database, Thomas Cauchy authored at least 10 papers between 2019 and 2025.

Collaborative distances:

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

2025

A Transformer Model for Predicting Chemical Reaction Products from Generic Templates.

Derin Ozer, Sylvain Lamprier, Thomas Cauchy, Nicolas Gutowski, Benoit Da Mota

CoRR, March, 2025

A Transformer Model for Predicting Chemical Products from Generic SMARTS Templates with Data Augmentation.

Derin Ozer, Sylvain Lamprier, Nicolas Gutowski, Benoit Da Mota, Thomas Cauchy

Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

Guiding Evolutionary Molecular Design: Adding Reinforcement Learning for Mutation Selection.

Gaëlle Milon-Harnois, Chaïmaâ Touhami, Nicolas Gutowski, Benoit Da Mota, Thomas Cauchy

Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

Rethinking NLP for Chemistry: A Critical Look at the USPTO Benchmark.

Derin Ozer, Nicolas Gutowski, Benoit Da Mota, Thomas Cauchy, Sylvain Lamprier

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

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.

Jules Leguy, Marta Glavatskikh, Thomas Cauchy, Benoit Da Mota

J. Cheminformatics, 2021

Surrogate-Based Black-Box Optimization Method for Costly Molecular Properties.

Jules Leguy, Béatrice Duval, Benoit Da Mota, Thomas Cauchy

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.

Jules Leguy, Thomas Cauchy, Marta Glavatskikh, Béatrice Duval, Benoit Da Mota

J. Cheminformatics, 2020

2019

Dataset's chemical diversity limits the generalizability of machine learning predictions.

Marta Glavatskikh, Jules Leguy, Gilles Hunault, Thomas Cauchy, Benoit Da Mota

J. Cheminformatics, 2019

Predicting Interatomic Distances of Molecular Quantum Chemistry Calculations.

Jules Leguy, Thomas Cauchy, Béatrice Duval, Benoit Da Mota

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.

Jules Leguy, Thomas Cauchy, Béatrice Duval, Benoit Da Mota

Proceedings of the Extraction et Gestion des connaissances, 2019