Binary Stochastic Representations for Large Multi-class Classification. - Thomas Gerald; Nicolas Baskiotis; Ludovic Denoyer (ICONIP (1), 2017)

Binary Stochastic Representations for Large Multi-class Classification. - Thomas Gerald; Aurélia Léon; Nicolas Baskiotis; Ludovic Denoyer (CoRR, 2019)

Introduction to Geometric Learning in Python with Geomstats. - Nina Miolane; Nicolas Guigui; Hadi Zaatiti; Christian Shewmake; Hatem Hajri; Daniel Brooks; Alice Le Brigant; Johan Mathe; Benjamin Hou; Yann Thanwerdas; Stefan Heyder; Olivier Peltre; et al. (SciPy, 2020)

A Practical Hands-on for Learning Graph Data Communities on Manifolds. - Thomas Gerald; Hadi Zaatiti; Hatem Hajri (SPIGL, 2020)

Geomstats: A Python Package for Riemannian Geometry in Machine Learning. - Nina Miolane; Alice Le Brigant; Johan Mathe; Benjamin Hou; Nicolas Guigui; Yann Thanwerdas; Stefan Heyder; Olivier Peltre; Niklas Koep; Hadi Zaatiti; Hatem Hajri; Yann Cabanes; et al. (CoRR, 2020)

Representation Learning for Large Scale Classification. (Apprentissage de représentation pour la classification large échelle). - Thomas Gerald (2020)

MLIA-LIP6@TREC-CAST2021: Feature augmentation for query recontextualization and passage ranking. - Nawel Astaouti; Thomas Gerald; Maya Touzari; Laure Soulier; Jian-Yun Nie (TREC, 2021)

Does Structure Matter? Leveraging Data-to-Text Generation for Answering Complex Information Needs - Abstract. - Hanane Djeddal; Thomas Gerald; Laure Soulier; Karen Pinel-Sauvagnat; Lynda Tamine (CIRCLE, 2022)

Continual Learning of Long Topic Sequences in Neural Information Retrieval - abstract. - Thomas Gerald; Laure Soulier (CIRCLE, 2022)

Does Structure Matter? Leveraging Data-to-Text Generation for Answering Complex Information Needs. - Hanane Djeddal; Thomas Gerald; Laure Soulier; Karen Pinel-Sauvagnat; Lynda Tamine (ECIR (2), 2022)

Continual Learning of Long Topic Sequences in Neural Information Retrieval. - Thomas Gerald; Laure Soulier (ECIR (1), 2022)

MLIA-DAC@TREC CAsT 2022: Sparse Contextualized Query Embedding. - Nam Le Hai; Thomas Gerald; Thibault Formal; Jian-Yun Nie; Benjamin Piwowarski; Laure Soulier (TREC, 2022)

CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval. - Nam Le Hai; Thomas Gerald; Thibault Formal; Jian-Yun Nie; Benjamin Piwowarski; Laure Soulier (ECIR (1), 2023)

Sélectionner les ?bons? passages pour créer les ?bonnes? questions : Analyse et Évaluation d'un nouveau Corpus de Questions et Réponses pour l'Éducation. - Thomas Gerald; Sofiane Ettayeb; Ha Quang Le; Gabriel Illouz; Patrick Paroubek; Anne Vilnat (EGC, 2023)

CoSPLADE : Adaptation d'un Modèle Neuronal Basé sur des Représentations Parcimonieuses pour la Recherche d'Information Conversationnelle. - Nam Le Hai; Thomas Gerald; Thibault Formal; Jian-Yun Nie; Benjamin Piwowarksi; Laure Soulier (CORIA-TALN, 2023)

A hyperbolic approach for learning communities on graphs. - Thomas Gerald; Hadi Zaatiti; Hatem Hajri; Nicolas Baskiotis; Olivier Schwander (Data Min. Knowl. Discov., 2023)

Introducing CQuAE : A New French Contextualised Question-Answering Corpus for the Education Domain. - Thomas Gerald; Anne Vilnat; Sofiane Ettayeb; Louis Tamames; Patrick Paroubek (LREC/COLING, 2024)

Small Language Models Are Good Too: An Empirical Study of Zero-Shot Classification. - Pierre Lepagnol; Thomas Gerald; Sahar Ghannay; Christophe Servan; Sophie Rosset (LREC/COLING, 2024)

CQuAE : Un nouveau corpus de question-réponse pour l'enseignement. - Thomas Gerald; Louis Tamames; Sofiane Ettayeb; Patrick Paroubek; Anne Vilnat (TALN (1), 2024)

Les petits modèles sont bons : une étude empirique de classification dans un contexte zero-shot. - Pierre Lepagnol; Thomas Gerald; Sahar Ghannay; Christophe Servan; Sophie Rosset (TALN (1), 2024)

CQuAE: A new Contextualized QUestion Answering corpus on Education domain. - Thomas Gerald; Louis Tamames; Sofiane Ettayeb; Ha-Quang Le; Patrick Paroubek; Anne Vilnat (Data Knowl. Eng., 2024)

Leveraging Information Retrieval to Enhance Spoken Language Understanding Prompts in Few-Shot Learning. - Pierre Lepagnol; Sahar Ghannay; Thomas Gerald; Christophe Servan; Sophie Rosset (CoRR, 2025)