A Cognitive Vision Platform for Automatic Recognition of Natural Complex Objects. - Céline Hudelot; Monique Thonnat (ICTAI, 2003)

Ontology Based Object Learning and Recognition: Application to Image Retrieval. - Nicolas Maillot; Monique Thonnat; Céline Hudelot (ICTAI, 2004)

Towards a Cognitive Vision Platform for Semantic Image Interpretation; Application to the Recognition of Biological Organisms. - Céline Hudelot (2005)

From Generic Knowledge to Specific Reasoning for Medical Image Interpretation Using Graph based Representations. - Jamal Atif; Céline Hudelot; Geoffroy Fouquier; Isabelle Bloch; Elsa D. Angelini (IJCAI, 2007)

Grafip: A Framework for the Representation of Healthy and Pathological Cerebral Information. - Jamal Atif; Céline Hudelot; Olivier Nempont; Nathalie Richard; Bénédicte Batrancourt; Elsa D. Angelini; Isabelle Bloch (ISBI, 2007)

Fuzzy spatial relation ontology for image interpretation. - Céline Hudelot; Jamal Atif; Isabelle Bloch (Fuzzy Sets Syst., 2008)

FSRO : une ontologie de relations spatiales floues pour l'interprétation d'images. - Céline Hudelot; Jamal Atif; Isabelle Bloch (Les Relations Spatiales, 2008)

Random Accessible Hierarchical Mesh Compression for Interactive Visualization. - Clement Courbet; Céline Hudelot (Comput. Graph. Forum, 2009)

Integrating Bipolar Fuzzy Mathematical Morphology in Description Logics for Spatial Reasoning. - Céline Hudelot; Jamal Atif; Isabelle Bloch (ECAI, 2010)

Ontology matching for the semantic annotation of images. - Nicolas James; Konstantin Todorov; Céline Hudelot (FUZZ-IEEE, 2010)

Combining Visual and Textual Modalities for Multimedia Ontology Matching. - Nicolas James; Konstantin Todorov; Céline Hudelot (SAMT, 2010)

Remote scientific visualization of progressive 3D meshes with X3D. - Adrien Maglo; Ho Lee; Guillaume Lavoué; Christophe Mouton; Céline Hudelot; Florent Dupont (Web3D, 2010)

Towards ontologies for image interpretation and annotation. - Hichem Bannour; Céline Hudelot (CBMI, 2011)

Abduction in Description Logics using Formal Concept Analysis and Mathematical Morphology: Application to Image Interpretation. - Jamal Atif; Céline Hudelot; Isabelle Bloch (CLA, 2011)

A Framework for a Fuzzy Matching between Multiple Domain Ontologies. - Konstantin Todorov; Peter Geibel; Céline Hudelot (KES (1), 2011)

Building A Fuzzy Knowledge Body for Integrating Domain Ontologies. - Konstantin Todorov; Peter Geibel; Céline Hudelot (URSW, 2011)

Taylor Prediction for Mesh Geometry Compression. - Clement Courbet; Céline Hudelot (Comput. Graph. Forum, 2011)

Belief Theory for Large-Scale Multi-label Image Classification. - Amel Znaidia; Hervé Le Borgne; Céline Hudelot (Belief Functions, 2012)

Hierarchical image annotation using semantic hierarchies. - Hichem Bannour; Céline Hudelot (CIKM, 2012)

Bag-of-multimedia-words for image classification. - Amel Znaidia; Aymen Shabou; Hervé Le Borgne; Céline Hudelot; Nikos Paragios (ICPR, 2012)

Multimodal feature generation framework for semantic image classification. - Amel Znaidia; Aymen Shabou; Adrian Popescu 001; Hervé Le Borgne; Céline Hudelot (ICMR, 2012)

Building Semantic Hierarchies Faithful to Image Semantics. - Hichem Bannour; Céline Hudelot (MMM, 2012)

Progressive compression of manifold polygon meshes. - Adrien Maglo; Clement Courbet; Pierre Alliez; Céline Hudelot (Comput. Graph., 2012)

A fuzzy extension of explanatory relations based on mathematical morphology. - Jamal Atif; Isabelle Bloch; Felix Distel; Céline Hudelot (EUSFLAT Conf., 2013)

Mathematical Morphology Operators over Concept Lattices. - Jamal Atif; Isabelle Bloch; Felix Distel; Céline Hudelot (ICFCA, 2013)

Tag completion based on belief theory and neighbor voting. - Amel Znaidia; Hervé Le Borgne; Céline Hudelot (ICMR, 2013)

POMAR: Compression of progressive oriented meshes accessible randomly. - Adrien Maglo; Ian J. Grimstead; Céline Hudelot (Comput. Graph., 2013)

Combinaison d'information visuelle, conceptuelle, et contextuelle pour la construction automatique de hierarchies semantiques adaptees a l'annotation d'images - Hichem Bannour; Céline Hudelot (CoRR, 2013)

Multimedia ontology matching by using visual and textual modalities. - Konstantin Todorov; Nicolas James; Céline Hudelot (Multim. Tools Appl., 2013)

Construction de hiérarchies sémantiques pour l'annotation d'images. - Hichem Bannour; Céline Hudelot (Rev. d'Intelligence Artif., 2013)

Codage des modèles de tags. - Amel Znaidia; Aymen Shabou; Hervé Le Borgne; Céline Hudelot (Rev. d'Intelligence Artif., 2013)

ALC(𝔽): A New Description Logic for Spatial Reasoning in Images. - Céline Hudelot; Jamal Atif; Isabelle Bloch (ECCV Workshops (2), 2014)

Fuzzy and Cross-Lingual Ontology Matching Mediated by Background Knowledge. - Konstantin Todorov; Céline Hudelot; Peter Geibel (URSW (LNCS Vol.), 2014)

Fuzzy Ontology Alignment using Background Knowledge. - Konstantin Todorov; Céline Hudelot; Adrian Popescu 001; Peter Geibel (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2014)

Building and using fuzzy multimedia ontologies for semantic image annotation. - Hichem Bannour; Céline Hudelot (Multim. Tools Appl., 2014)

Explanatory Reasoning for Image Understanding Using Formal Concept Analysis and Description Logics. - Jamal Atif; Céline Hudelot; Isabelle Bloch (IEEE Trans. Syst. Man Cybern. Syst., 2014)

Belief revision in Institutions : A relaxation based approach. - Marc Aiguier; Jamal Atif; Isabelle Bloch; Céline Hudelot (CoRR, 2015)

Relaxation-based revision operators in description logics. - Marc Aiguier; Jamal Atif; Isabelle Bloch; Céline Hudelot (CoRR, 2015)

Some algebraic results in Description logics : Free model and inclusions, finite basis theorem, and completion of knowledge bases. - Marc Aiguier; Jamal Atif; Isabelle Bloch; Céline Hudelot (CoRR, 2015)

3D Mesh Compression: Survey, Comparisons, and Emerging Trends. - Adrien Maglo; Guillaume Lavoué; Florent Dupont; Céline Hudelot (ACM Comput. Surv., 2015)

Diverse Concept-Level Features for Multi-Object Classification. - Youssef Tamaazousti; Hervé Le Borgne; Céline Hudelot (ICMR, 2016)

Some Relationships Between Fuzzy Sets, Mathematical Morphology, Rough Sets, F-Transforms, and Formal Concept Analysis. - Jamal Atif; Isabelle Bloch; Céline Hudelot (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2016)

Integrating Computer Vision Algorithms and Ontologies for Spectator Crowd Behavior Analysis. - Davide Conigliaro; Roberta Ferrario; Céline Hudelot; Daniele Porello (Group and Crowd Behavior for Computer Vision, 2017)

MuCaLe-Net: Multi Categorical-Level Networks to Generate More Discriminating Features. - Youssef Tamaazousti; Hervé Le Borgne; Céline Hudelot (CVPR, 2017)

Vision-language integration using constrained local semantic features. - Youssef Tamaazousti; Hervé Le Borgne; Adrian Popescu 001; Etienne Gadeski; Alexandru-Lucian Gînsca; Céline Hudelot (Comput. Vis. Image Underst., 2017)

Learning Finer-class Networks for Universal Representations. - Julien Girard; Youssef Tamaazousti; Hervé Le Borgne; Céline Hudelot (BMVC, 2018)

Real-Time Collection of Reliable and Representative Tweets Datasets Related to News Events. - Béatrice Mazoyer; Julia Cagé; Céline Hudelot; Marie-Luce Viaud (BroDyn@ECIR, 2018)

Learning Fuzzy Relations and Properties for Explainable Artificial Intelligence. - Régis Pierrard; Jean-Philippe Poli; Céline Hudelot (FUZZ-IEEE, 2018)

A Fuzzy Close Algorithm for Mining Fuzzy Association Rules. - Régis Pierrard; Jean-Philippe Poli; Céline Hudelot (IPMU (2), 2018)

Belief revision, minimal change and relaxation: A general framework based on satisfaction systems, and applications to description logics. - Marc Aiguier; Jamal Atif; Isabelle Bloch; Céline Hudelot (Artif. Intell., 2018)

Apprentissage de relations floues pour l'annotation sémantique expliquée avec peu de données. - Régis Pierrard; Jean-Philippe Poli; Céline Hudelot (RJCIA, 2019)

Hidden Covariate Shift: A Minimal Assumption For Domain Adaptation. - Victor Bouvier; Philippe Very; Céline Hudelot; Clément Chastagnol (CoRR, 2019)

Learning Invariant Representations for Sentiment Analysis: The Missing Material is Datasets. - Victor Bouvier; Philippe Very; Céline Hudelot; Clément Chastagnol (CoRR, 2019)

A New Approach for Explainable Multiple Organ Annotation with Few Data. - Régis Pierrard; Jean-Philippe Poli; Céline Hudelot (CoRR, 2019)

Semi-Supervised Semantic Segmentation With Cross-Consistency Training. - Yassine Ouali; Céline Hudelot; Myriam Tami (CVPR, 2020)

Autoregressive Unsupervised Image Segmentation. - Yassine Ouali; Céline Hudelot; Myriam Tami (ECCV (7), 2020)

Représentations lexicales pour la détection non supervisée d'événements dans un flux de tweets : étude sur des corpus français et anglais. - Béatrice Mazoyer; Nicolas Hervé; Céline Hudelot; Julia Cagé (EGC, 2020)

Controlling generative models with continuous factors of variations. - Antoine Plumerault; Hervé Le Borgne; Céline Hudelot (ICLR, 2020)

Minority Class Oriented Active Learning for Imbalanced Datasets. - Umang Aggarwal; Adrian Popescu 001; Céline Hudelot (ICPR, 2020)

Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification. - Martin Charachon; Céline Hudelot; Paul-Henry Cournède; Camille Ruppli; Roberto Ardon (ICPR, 2020)

AVAE: Adversarial Variational Auto Encoder. - Antoine Plumerault; Hervé Le Borgne; Céline Hudelot (ICPR, 2020)

A French Corpus for Event Detection on Twitter. - Béatrice Mazoyer; Julia Cagé; Nicolas Hervé; Céline Hudelot (LREC, 2020)

Robust Domain Adaptation: Representations, Weights and Inductive Bias. - Victor Bouvier; Philippe Very; Clément Chastagnol; Myriam Tami; Céline Hudelot (ECML/PKDD (1), 2020)

SIMD-based Exact Parallel Fuzzy Dilation Operator for Fast Computing of Fuzzy Spatial Relations. - Régis Pierrard; Laurent Cabaret; Jean-Philippe Poli; Céline Hudelot (WPMVP@PPoPP, 2020)

Active Learning for Imbalanced Datasets. - Umang Aggarwal; Adrian Popescu 001; Céline Hudelot (WACV, 2020)

An Overview of Deep Semi-Supervised Learning. - Yassine Ouali; Céline Hudelot; Myriam Tami (CoRR, 2020)

Target Consistency for Domain Adaptation: when Robustness meets Transferability. - Yassine Ouali; Victor Bouvier; Myriam Tami; Céline Hudelot (CoRR, 2020)

Learning More Universal Representations for Transfer-Learning. - Youssef Tamaazousti; Hervé Le Borgne; Céline Hudelot; Mohamed El Amine Seddik; Mohamed Tamaazousti (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph Embedding. - Edoardo Ramalli; Alberto Parravicini; Guido Walter Di Donato; Mirko Salaris; Céline Hudelot; Marco D. Santambrogio (BioCAS, 2021)

Improving Next-Application Prediction with Deep Personalized-Attention Neural Network. - Jun Zhu; Gautier Viaud; Céline Hudelot (ICMLA, 2021)

Robust Domain Adaptation: Representations, Weights and Inductive Bias (Extended Abstract). - Victor Bouvier; Philippe Very; Clément Chastagnol; Myriam Tami; Céline Hudelot (IJCAI, 2021)

Visual Explanation by Unifying Adversarial Generation and Feature Importance Attributions. - Martin Charachon; Paul-Henry Cournède; Céline Hudelot; Roberto Ardon (iMIMIC/TDA4MedicalData@MICCAI, 2021)

Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift. - Etienne Bennequin; Victor Bouvier; Myriam Tami; Antoine Toubhans; Céline Hudelot (ECML/PKDD (1), 2021)

Stochastic Adversarial Gradient Embedding for Active Domain Adaptation. - Victor Bouvier; Philippe Very; Clément Chastagnol; Myriam Tami; Céline Hudelot (IAL@PKDD/ECML, 2021)

Spatial Contrastive Learning for Few-Shot Classification. - Yassine Ouali; Céline Hudelot; Myriam Tami (ECML/PKDD (1), 2021)

Spatial relation learning for explainable image classification and annotation in critical applications. - Régis Pierrard; Jean-Philippe Poli; Céline Hudelot (Artif. Intell., 2021)

StreaMulT: Streaming Multimodal Transformer for Heterogeneous and Arbitrary Long Sequential Data. - Victor Pellegrain; Myriam Tami; Michel Batteux; Céline Hudelot (CoRR, 2021)

Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling. - Etienne Bennequin; Myriam Tami; Antoine Toubhans; Céline Hudelot (CVPR Workshops, 2022)

Towards Job-Transition-Tag Graph for a Better Job Title Representation Learning. - Jun Zhu; Céline Hudelot (NAACL-HLT (Findings), 2022)

Optimizing Active Learning for Low Annotation Budgets. - Umang Aggarwal; Adrian Popescu 001; Céline Hudelot (CoRR, 2022)

Model-Agnostic Few-Shot Open-Set Recognition. - Malik Boudiaf; Etienne Bennequin; Myriam Tami; Céline Hudelot; Antoine Toubhans; Pablo Piantanida; Ismail Ben Ayed (CoRR, 2022)

Test-Time Adaptation with Principal Component Analysis. - Thomas Cordier; Victor Bouvier; Gilles Hénaff; Céline Hudelot (CoRR, 2022)

Leveraging conditional generative models in a general explanation framework of classifier decisions. - Martin Charachon; Paul-Henry Cournède; Céline Hudelot; Roberto Ardon (Future Gener. Comput. Syst., 2022)

A comparative study of calibration methods for imbalanced class incremental learning. - Umang Aggarwal; Adrian Popescu 001; Eden Belouadah; Céline Hudelot (Multim. Tools Appl., 2022)

Layout and Activity-based Textbook Modeling for Automatic PDF Textbook Extraction. - Élise Lincker; Olivier Pons; Camille Guinaudeau; Isabelle Barbet; Jérôme Dupire; Céline Hudelot; Vincent Mousseau; Caroline Huron (iTextbooks@AIED, 2023)

Noisy and Unbalanced Multimodal Document Classification: Textbook Exercises as a Use Case. - Élise Lincker; Camille Guinaudeau; Olivier Pons; Jérôme Dupire; Céline Hudelot; Vincent Mousseau; Isabelle Barbet; Caroline Huron (CBMI, 2023)

Open-Set Likelihood Maximization for Few-Shot Learning. - Malik Boudiaf; Etienne Bennequin; Myriam Tami; Antoine Toubhans; Pablo Piantanida; Céline Hudelot; Ismail Ben Ayed (CVPR, 2023)

Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications. - Manuel Faysse; Gautier Viaud; Céline Hudelot; Pierre Colombo (EMNLP, 2023)

How to Think About Benchmarking Neurosymbolic AI? - Johanna Ott; Arthur Ledaguenel; Céline Hudelot; Mattis Hartwig (NeSy, 2023)

Classification automatique de données déséquilibrées et bruitées : application aux exercices de manuels scolaires. - Élise Lincker; Camille Guinaudeau; Olivier Pons; Jérôme Dupire; Isabelle Barbet; Céline Hudelot; Vincent Mousseau; Caroline Huron (CORIA-TALN (4), 2023)

AdvisIL - A Class-Incremental Learning Advisor. - Eva Feillet; Grégoire Petit; Adrian Popescu 001; Marina Reyboz; Céline Hudelot (WACV, 2023)

Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. - Pierre Colombo; Victor Pellegrain; Malik Boudiaf; Victor Storchan; Myriam Tami; Ismail Ben Ayed; Céline Hudelot; Pablo Piantanida (CoRR, 2023)

Interpretable Image Classification Through an Argumentative Dialog Between Encoders. - Dao Thauvin; Stéphane Herbin; Wassila Ouerdane; Céline Hudelot (ECAI, 2024)

Recommendation of Data-Free Class-Incremental Learning Algorithms by Simulating Future Data. - Eva Feillet; Adrian Popescu 001; Céline Hudelot (ICPR (26), 2024)

Registration of Longitudinal Liver Examinations for Tumor Progress Assessment. - Walid Yassine; Martin Charachon; Céline Hudelot; Roberto Ardon (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 2024)

An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning. - Grégoire Petit; Michaël Soumm; Eva Feillet; Adrian Popescu 001; Bertrand Delezoide; David Picard; Céline Hudelot (WACV, 2024)

Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis. - Hippolyte Gisserot-Boukhlef; Ricardo Rei; Emmanuel Malherbe; Céline Hudelot; Pierre Colombo; Nuno Miguel Guerreiro (WMT, 2024)

Improving Neural-based Classification with Logical Background Knowledge. - Arthur Ledaguenel; Céline Hudelot; Mostepha Khouadjia (CoRR, 2024)

Complexity of Probabilistic Reasoning for Neurosymbolic Classification Techniques. - Arthur Ledaguenel; Céline Hudelot; Mostepha Khouadjia (CoRR, 2024)

Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning. - Théo Moutakanni; Piotr Bojanowski; Guillaume Chassagnon; Céline Hudelot; Armand Joulin; Yann LeCun; Matthew J. Muckley; Maxime Oquab; Marie-Pierre Revel; Maria Vakalopoulou (CoRR, 2024)

Bond Graphs for multi-physics informed Neural Networks for multi-variate time series. - Alexis-Raja Brachet; Pierre-Yves Richard; Céline Hudelot (CoRR, 2024)

Neurosymbolic Conformal Classification. - Arthur Ledaguenel; Céline Hudelot; Mostepha Khouadjia (CoRR, 2024)

Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism. - Hippolyte Gisserot-Boukhlef; Manuel Faysse; Emmanuel Malherbe; Céline Hudelot; Pierre Colombo (Trans. Mach. Learn. Res., 2024)

IA hybride, vue d'ensemble et quelques applications à la classification d'images. - Céline Hudelot (EGC, 2025)

ColPali: Efficient Document Retrieval with Vision Language Models. - Manuel Faysse; Hugues Sibille; Tony Wu; Bilel Omrani; Gautier Viaud; Céline Hudelot; Pierre Colombo (ICLR, 2025)

A Reality Check on Pre-training for Exemplar-free Class-Incremental Learning. - Eva Feillet; Adrian Popescu 001; Céline Hudelot (WACV, 2025)

Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs. - Nicolas Boizard; Kevin El Haddad; Céline Hudelot; Pierre Colombo (Trans. Mach. Learn. Res., 2025)

CroissantLLM: A Truly Bilingual French-English Language Model. - Manuel Faysse; Patrick Fernandes; Nuno Miguel Guerreiro; António Loison; Duarte M. Alves; Caio Corro; Nicolas Boizard; João Alves 003; Ricardo Rei; Pedro Henrique Martins; Antoni Bigata Casademunt; François Yvon; et al. (Trans. Mach. Learn. Res., 2025)

EuroBERT: Scaling Multilingual Encoders for European Languages. - Nicolas Boizard; Hippolyte Gisserot-Boukhlef; Duarte M. Alves; André F. T. Martins; Ayoub Hammal; Caio Corro; Céline Hudelot; Emmanuel Malherbe; Etienne Malaboeuf; Fanny Jourdan; Gabriel Hautreux; João Alves 003; et al. (CoRR, 2025)

Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings. - Max Conti; Manuel Faysse; Gautier Viaud; Antoine Bosselut; Céline Hudelot; Pierre Colombo (CoRR, 2025)

Should We Still Pretrain Encoders with Masked Language Modeling? - Hippolyte Gisserot-Boukhlef; Nicolas Boizard; Manuel Faysse; Duarte M. Alves; Emmanuel Malherbe; André F. T. Martins; Céline Hudelot; Pierre Colombo (CoRR, 2025)

Dynamics is what you need for time-series forecasting! - Alexis-Raja Brachet; Pierre-Yves Richard; Céline Hudelot (CoRR, 2025)

Fairness and Robustness of CLIP-Based Models for Chest X-rays. - Théo Sourget; David Restrepo; Céline Hudelot; Enzo Ferrante; Stergios Christodoulidis; Maria Vakalopoulou (CoRR, 2025)

A Complexity Map of Probabilistic Reasoning for Neurosymbolic Classification Techniques. - Arthur Ledaguenel; Céline Hudelot; Mostepha Khouadjia (Math. Comput. Sci., 2025)