Antoine Simoulin

According to our database, Antoine Simoulin authored at least 9 papers between 2017 and 2024.

Collaborative distances:

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

2024

Forward Learning of Graph Neural Networks.

Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan A. Rossi, Puja Trivedi, Nesreen K. Ahmed

CoRR, 2024

2023

From free-text electronic health records to structured cohorts: Onconum, an innovative methodology for real-world data mining in breast cancer.

Antoine Simoulin, Nicolas Thiebaut, Karl Neuberger, Issam Ibnouhsein, Nicolas J.-B. Brunel, Raphaël Viné, Nicolas Bousquet, Jules Latapy, Nathalie Reix, Sébastien Molière, Massimo Lodi, Carole Mathelin

Comput. Methods Programs Biomed., October, 2023

GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection.

Namyong Park, Ryan A. Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Sentence embeddings and their relation with sentence structures. (Plongements de phrases et leurs relations avec les structures de phrases).

Antoine Simoulin

PhD thesis, 2022

Unifying Parsing and Tree-Structured Models for Generating Sentence Semantic Representations.

Antoine Simoulin, Benoît Crabbé

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2022

2021

Un modèle Transformer Génératif Pré-entrainé pour le______ français (Generative Pre-trained Transformer in______ (French) We introduce a French adaptation from the well-known GPT model).

Antoine Simoulin, Benoît Crabbé

Proceedings of the Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale, 2021

Contrasting distinct structured views to learn sentence embeddings.

Antoine Simoulin, Benoît Crabbé

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, 2021

How Many Layers and Why? An Analysis of the Model Depth in Transformers.

Antoine Simoulin, Benoît Crabbé

Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021

2017

An innovative solution for breast cancer textual big data analysis.

Nicolas Thiebaut, Antoine Simoulin, Karl Neuberger, Issam Ibnouhsein, Nicolas Bousquet, Nathalie Reix, Sébastien Molière, Carole Mathelin

CoRR, 2017