Deep clustering of longitudinal data. - Louis Falissard; Guy Fagherazzi; Newton Howard; Bruno Falissard (CoRR, 2018)

A deep artificial neural network based model for underlying cause of death prediction from death certificates. - Louis Falissard; Claire Morgand; Sylvie Roussel; Claire Imbaud; Walid Ghosn; Karim Bounebache; Grégoire Rey (CoRR, 2019)

Neural translation and automated recognition of ICD10 medical entities from natural language. - Louis Falissard; Claire Morgand; Sylvie Roussel; Claire Imbaud; Walid Ghosn; Karim Bounebache; Grégoire Rey (CoRR, 2020)

Learning a binary search with a recurrent neural network. A novel approach to ordinal regression analysis. - Louis Falissard; Karim Bounebache; Grégoire Rey (CoRR, 2021)

Improving generalization in large langue model by learning prefix subspaces. - Louis Falissard; Vincent Guigue; Laure Soulier (EMNLP (Findings), 2023)

Attentive Perturbation: Extending Prefix Tuning to Large Language Models Inner Representations. - Louis Falissard; Séverine Affeldt; Mohamed Nadif (LOD (1), 2023)

Apprentissage de sous-espaces de préfixes. - Louis Falissard; Vincent Guigue; Laure Soulier (CORIA-TALN, 2023)

Improving generalization in large language models by learning prefix subspaces. - Louis Falissard; Vincent Guigue; Laure Soulier (CoRR, 2023)

Naviguer dans l'incertitude : optimiser la dépendance aux API des systèmes question/réponse. - Pierre Erbacher; Louis Falissard; Vincent Guigue; Laure Soulier (CORIA, 2024)

Navigating Uncertainty: Optimizing API Dependency for Hallucination Reduction in Closed-Book QA. - Pierre Erbacher; Louis Falissard; Vincent Guigue; Laure Soulier (ECIR (3), 2024)

Navigating Uncertainty: Optimizing API Dependency for Hallucination Reduction in Closed-Book Question Answering. - Pierre Erbacher; Louis Falissard; Vincent Guigue; Laure Soulier (CoRR, 2024)