Multilayer perceptrons and data analysis. - Patrick Gallinari; Sylvie Thiria; Françoise Fogelman (ICNN, 1988)

Comparing neural networks and data analysis. - Patrick Gallinari; Sylvie Thiria; Françoise Fogelman-Soulié (Neural Networks, 1988)

A connectionist approach for automatic speaker identification. - Younès Bennani; Françoise Fogelman-Soulié; Patrick Gallinari (ICASSP, 1990)

Cooperation of neural nets for robust classification. - Michel de Bollivier; Patrick Gallinari; Sylvie Thiria (IJCNN, 1990)

A Framework for the Cooperation of Learning Algorithms. - Léon Bottou; Patrick Gallinari (NIPS, 1990)

Speech processing and recognition using integrated neurocomputing techniques (Esprit Basic Research Action 3228: SPRINT). - Khalid Choukri; S. Soudoplatoff; A. Wallyn; Frédéric Bimbot; H. Valbret; Patrick Gallinari; Younès Bennani; A. Varga; Manfred Immendörfer; T. Michaux (Neurocomputing, 1990)

Validation of neural net architectures on speech recognition tasks. - Younès Bennani; Nasser Chaourar; Patrick Gallinari; Abdelhamid Mellouk (ICASSP, 1991)

On the use of TDNN-extracted features information in talker identification. - Younès Bennani; Patrick Gallinari (ICASSP, 1991)

On the relations between discriminant analysis and multilayer perceptrons. - Patrick Gallinari; Sylvie Thiria; Fouad Badran; Françoise Fogelman-Soulié (Neural Networks, 1991)

A speech recognizer optimally combining learning vector quantization, dynamic programming and multi-layer perceptron. - Xavier Driancourt; Patrick Gallinari (ICASSP, 1992)

A discriminative neural prediction system for speech recognition. - Abdelhamid Mellouk; Patrick Gallinari (ICASSP (1), 1993)

Neural models for extracting speaker characteristics in speech modelization systems. - Thierry Artières; Patrick Gallinari (EUROSPEECH, 1993)

Prediction and discrimination in neural networks for continuous speech recognition. - Abdelhamid Mellouk; Patrick Gallinari; F. Rauscher (EUROSPEECH, 1993)

Discriminative training for improved neural prediction systems. - Abdelhamid Mellouk; Patrick Gallinari (ICASSP (1), 1994)

A neural predictive approach for on-line cursive script recognition. - Sonia Garcia-Salicetti; Patrick Gallinari; Bernadette Dorizzi; Abdelhamid Mellouk; D. Fanchon (ICASSP, 1995)

Global discrimination for neural predictive systems based on N-best algorithm. - Abdelhamid Mellouk; Patrick Gallinari (ICASSP, 1995)

A hidden Markov model extension of a neural predictive system for on-line character recognition. - Sonia Garcia-Salicetti; Bernadette Dorizzi; Patrick Gallinari; Abdelhamid Mellouk; D. Fanchon (ICDAR, 1995)

Multi-state predictive neural networks for text-independent speaker recognition. - Thierry Artières; Patrick Gallinari (EUROSPEECH, 1995)

Integrating heuristic preferences into a neural understanding system. - Adelaide Stevenur; Patrick Gallinari (EUROSPEECH, 1995)

Neural networks for discrimination and modelization of speakers. - Younès Bennani; Patrick Gallinari (Speech Commun., 1995)

Combining Statistical Models for Protein Secondary Structure Prediction. - Yann Guermeur; Patrick Gallinari (ICANN, 1996)

Diagnosis Tools for Telecommunication Network Traffic Management. - Philippe Leray 001; Patrick Gallinari; Elisabeth Didelet (ICANN, 1996)

From characters to words: dynamical segmentation and predictive neural networks. - Sonia Garcia-Salicetti; Patrick Gallinari; Bernadette Dorizzi; Zsolt Wimmer; Stéphane Gentric (ICASSP, 1996)

Adaptive discrimination in an HMM-based neural predictive system for on-line word recognition. - Sonia Garcia-Salicetti; Bernadette Dorizzi; Patrick Gallinari; Zsolt Wimmer (ICPR, 1996)

Variable selection with neural networks. - Tautvydas Cibas; Françoise Fogelman-Soulié; Patrick Gallinari; Sarunas Raudys (Neurocomputing, 1996)

Off-Line Cursive Word Recognition with a Hybrid Neural-HMM System. - Zsolt Wimmer; Sonia Garcia-Salicetti; Bernadette Dorizzi; Patrick Gallinari (BSDIA, 1997)

Optimal Linear Regression on Classifier Outputs. - Yann Guermeur; Florence d'Alché-Buc; Patrick Gallinari (ICANN, 1997)

Multiple Multivariate Regression and Global Optimization in a Large Scale Thermodynamical Application. - Hugo Zaragoza; Patrick Gallinari (ICANN, 1997)

Distal Learning for Inverse Modeling of Dynamical Systems. - Abdelmoumène Toudeft; Patrick Gallinari (ICANNGA, 1997)

Predictive Models for Sequence Modelling, Application to Speech and Character Recognition. - Patrick Gallinari (Summer School on Neural Networks, 1997)

Neural and adaptive controllers for a non-minimum phase varying time-delay system. - Abdelmoumène Toudeft; Patrick Gallinari (Artif. Intell. Eng., 1997)

Coupled Hierarchical IR and Stochastic Models for Surface Information Extraction. - Hugo Zaragoza; Patrick Gallinari (BCS-IRSG Annual Colloquium on IR Research, 1998)

Twelve Numerical, Symbolic and Hybrid Supervised Classification Methods. - Olivier Gascuel; Bernadette Bouchon-Meunier; Gilles Caraux; Patrick Gallinari; Alain Guénoche; Yann Guermeur; Yves Lechevallier; Christophe Marsala; Laurent Miclet; Jacques Nicolas; Richard Nock; Mohammed Ramdani 003; et al. (Int. J. Pattern Recognit. Artif. Intell., 1998)

Multiple multivariate regression and global sequence optimization: : An application to large-scale models of radiation intensity. - Hugo Zaragoza; Patrick Gallinari; R. Curtelin; F. Leglaye (Signal Process., 1998)

Sequence Models for Automatic Highlighting and Surface Information Extraction. - Massih-Reza Amini; Hugo Zaragoza; Patrick Gallinari (BCS-IRSG Annual Colloquium on IR Research, 1999)

Dictionary Preselection in a Neuro-Markovian Word Recognition System. - Zsolt Wimmer; Bernadette Dorizzi; Patrick Gallinari (ICDAR, 1999)

Improved performance in protein secondary structure prediction by inhomogeneous score combination. - Yann Guermeur; Christophe Geourjon; Patrick Gallinari; Gilbert Deléage (Bioinform., 1999)

Practical complexity control in multilayer perceptrons. - Patrick Gallinari; Tautvydas Cibas (Signal Process., 1999)

Multi-Modal Segmental Models for On-Line Handwriting Recognition. - Thierry Artières; J.-M. Marchand; Patrick Gallinari; Bernadette Dorizzi (ICPR, 2000)

Learning for Sequence Extraction Tasks. - Massih-Reza Amini; Hugo Zaragoza; Patrick Gallinari (RIAO, 2000)

Learning for Text Summarization Using Labeled and Unlabeled Sentences. - Massih-Reza Amini; Patrick Gallinari (ICANN, 2001)

An Hybrid MLP-SVM Handwritten Digit Recognizer. - Abdel Bellili; Michel Gilloux; Patrick Gallinari (ICDAR, 2001)

Strategies for Combining On-line and Off-line Information in an On-line Handwriting Recognition System. - Nadji Gauthier; Thierry Artières; Patrick Gallinari; Bernadette Dorizzi (ICDAR, 2001)

Sentence Recognition through Hybrid Neuro-Markovian Modeling. - Sanparith Marukatat; Thierry Artières; Patrick Gallinari; Bernadette Dorizzi (ICDAR, 2001)

Automatic Text Summarization Using Unsupervised and Semi-supervised Learning. - Massih-Reza Amini; Patrick Gallinari (PKDD, 2001)

Characterizing Sequences of User Actions for Access Logs Analysis. - Thomas Draier; Patrick Gallinari (User Modeling, 2001)

Maximum mutual information training for an online neural predictive handwritten word recognition system. - Sonia Garcia-Salicetti; Bernadette Dorizzi; Patrick Gallinari; Zsolt Wimmer (Int. J. Document Anal. Recognit., 2001)

De l'utilisation d'OBD pour la sélection de variables dans les perceptrons multicouches. - Philippe Leray 001; Patrick Gallinari (Rev. d'Intelligence Artif., 2001)

Semi Supervised Logistic Regression. - Massih-Reza Amini; Patrick Gallinari (ECAI, 2002)

Learning Classification with Both Labeled and Unlabeled Data. - Jean-Noël Vittaut; Massih-Reza Amini; Patrick Gallinari (ECML, 2002)

Stroke level HMMs for on-line handwriting recognition. - Thierry Artières; Patrick Gallinari (IWFHR, 2002)

Rejection measures for handwriting sentence recognition. - Sanparith Marukatat; Thierry Artières; Patrick Gallinari; Bernadette Dorizzi (IWFHR, 2002)

Data Driven Design of an ANN/HMM System for On-line Unconstrained Handwritten Character Recognition. - Haifeng Li; Thierry Artières; Patrick Gallinari (ICMI, 2002)

State Sharing in a Hybrid Neuro-Markovian On-Line Handwriting Recognition System through a Simple Hierarchical Clustering Algorithm. - Haifeng Li; Thierry Artières; Patrick Gallinari (ICMI, 2002)

Bayesian Networks and INEX. - Benjamin Piwowarski; Georges-Etienne Faure; Patrick Gallinari (INEX Workshop, 2002)

The use of unlabeled data to improve supervised learning for text summarization. - Massih-Reza Amini; Patrick Gallinari (SIGIR, 2002)

Structured multimedia document classification. - Ludovic Denoyer; Jean-Noël Vittaut; Patrick Gallinari; Sylvie Brunessaux; Stephan Brunessaux (ACM Symposium on Document Engineering, 2003)

Apprentissage de comportements utilisateurs de produits hypermédias. - Sylvain Bidel; Laurent Lemoine; Frédéric Piat; Thierry Artières; Patrick Gallinari (EGC, 2003)

Génération automatique d'une structure hiérarchique de concepts et de documents à partir de corpus. - Hermine Njike Fotzo; Patrick Gallinari; Nathalie Lagunas (EGC, 2003)

Un modèle statistique pour la classification de documents structurés. - Huyen-Trang Vu; Ludovic Denoyer; Patrick Gallinari (EGC, 2003)

Classification and Tracking of Hypermedia Navigation Patterns. - Patrick Gallinari; Sylvain Bidel; Laurent Lemoine; Frédéric Piat; Thierry Artières (ICANN, 2003)

A Flexible Recognition Engine for Complex On-line Handwritten Character Recognition. - Sanparith Marukatat; Rudy Sicard; Thierry Artières; Patrick Gallinari (ICDAR, 2003)

Semi-Supervised Learning with Explicit Misclassification Modeling. - Massih-Reza Amini; Patrick Gallinari (IJCAI, 2003)

Expected Ratio of Relevant Units: A Measure for Structured Information Retrieval. - Benjamin Piwowarski; Patrick Gallinari (INEX, 2003)

Bayesian Networks and INEX'03. - Benjamin Piwowarski; Huyen-Trang Vu; Patrick Gallinari (INEX, 2003)

A Belief Networks-Based Generative Model for Structured Documents. An Application to the XML Categorization. - Ludovic Denoyer; Patrick Gallinari (MLDM, 2003)

A Machine Learning Model for Information Retrieval with Structured Documents. - Benjamin Piwowarski; Patrick Gallinari (MLDM, 2003)

Using Belief Networks and Fisher Kernels for Structured Document Classification. - Ludovic Denoyer; Patrick Gallinari (PKDD, 2003)

Using Structure For Information Extraction In Html Documents. - Frédéric Kerloch; Thierry Paquet; Patrick Gallinari (PRIS, 2003)

A Hidden Markov Models combination framework for handwriting recognition. - Thierry Artières; Nadji Gauthier; Patrick Gallinari; Bernadette Dorizzi (Int. J. Document Anal. Recognit., 2003)

An MLP-SVM combination architecture for offline handwritten digit recognition: Reduction of recognition errors by Support Vector Machines rejection mechanisms. - Abdel Bellili; Michel Gilloux; Patrick Gallinari (Int. J. Document Anal. Recognit., 2003)

Apprentissage de Relations entre Concepts - Génération Automatique d'une Structuration Hiérarchique à partir de Corpus. - Hermine Njike Fotzo; Patrick Gallinari (CORIA, 2004)

Apprentissage non-supervisé pour la segmentation automatique de textes. - Jean-François Pessiot; Marc Caillet; Massih-Reza Amini; Patrick Gallinari (CORIA, 2004)

A Model-Based Approach to Sequence Clustering. - Henri Binsztok; Thierry Artières; Patrick Gallinari (ECAI, 2004)

Information Access via Topic Hierarchies and Thematic Annotations from Document Collections. - Hermine Njike Fotzo; Patrick Gallinari (ICEIS (2), 2004)

A generic approach for on-line handwriting recognition. - Sanparith Marukatat; Thierry Artières; Patrick Gallinari (IWFHR, 2004)

An Algebra for Structured Queries in Bayesian Networks. - Jean-Noël Vittaut; Benjamin Piwowarski; Patrick Gallinari (INEX, 2004)

Unsupervised Learning with Term Clustering for Thematic Segmentation of Texts. - Marc Caillet; Jean-François Pessiot; Massih-Reza Amini; Patrick Gallinari (RIAO, 2004)

Learning "Generalization/Specialization" Relations between Concepts - Application for Automatically Building Thematic Document Hierarchies. - Hermine Njike Fotzo; Patrick Gallinari (RIAO, 2004)

An Algebra for Probabilistic XML Retrieval. - Benjamin Piwowarski; Patrick Gallinari (TDM, 2004)

Un modèle de mixture de modèles génératifs pour les documents structurés multimédias. Application à la classification de documents XML et HTML. - Ludovic Denoyer; Patrick Gallinari (Document Numérique, 2004)

Bayesian network model for semi-structured document classification. - Ludovic Denoyer; Patrick Gallinari (Inf. Process. Manag., 2004)

On Effectiveness Measures and Relevance Functions in Ranking INEX Systems. - Huyen-Trang Vu; Patrick Gallinari (AIRS, 2005)

Learning to summarise XML documents using content and structure. - Massih-Reza Amini; Anastasios Tombros; Nicolas Usunier; Mounia Lalmas; Patrick Gallinari (CIKM, 2005)

Using RankBoost to compare retrieval systems. - Huyen-Trang Vu; Patrick Gallinari (CIKM, 2005)

Classification automatique de documents structurés. Application au corpus d'arbres étiquetés de type XML. - Guillaume Wisniewski; Ludovic Denoyer; Patrick Gallinari (CORIA, 2005)

Automatic Text Summarization Based on Word-Clusters and Ranking Algorithms. - Massih-Reza Amini; Nicolas Usunier; Patrick Gallinari (ECIR, 2005)

Un système d'aide à la navigation dans des hypermédias. - Julien Blanchard 003; Bertrand Petitjean; Thierry Artières; Patrick Gallinari (EGC, 2005)

Sélection de modèles par des méthodes à noyaux pour la classification de données séquentielles. - Trinh Minh Tri Do; Thierry Artières; Patrick Gallinari (EGC, 2005)

Apprentissage d'une hiérarchie de concepts pour la conception de modèles de domaine d'hypermédias. - Hermine Njike Fotzo; Thierry Artières; Patrick Gallinari; Julien Blanchard 003; Guillaume Letellier (EGC (Ateliers), 2005)

Combinaison de fonctions de préférence par boosting pour la recherche de passages dans les systèmes de question/réponse. - Nicolas Usunier; Massih-Reza Amini; Patrick Gallinari (EGC, 2005)

Restructuration automatique de documents dans les corpus semi-structurés hétérogènes. - Guillaume Wisniewski; Ludovic Denoyer; Patrick Gallinari (EGC, 2005)

Automatic learning of domain model for personalized hypermedia applications. - Hermine Njike Fotzo; Thierry Artières; Patrick Gallinari; Julien Blanchard 003; Guillaume Letellier (IJCAI, 2005)

Machine Learning Ranking and INEX'05. - Jean-Noël Vittaut; Patrick Gallinari (INEX, 2005)

Generalization error bounds for classifiers trained with interdependent data. - Nicolas Usunier; Massih-Reza Amini; Patrick Gallinari (NIPS, 2005)

A Bayesian Framework for XML Information Retrieval: Searching and Learning with the INEX Collection. - Benjamin Piwowarski; Patrick Gallinari (Inf. Retr., 2005)

Semi-supervised learning with an imperfect supervisor. - Massih-Reza Amini; Patrick Gallinari (Knowl. Inf. Syst., 2005)

Apprentissage d'ordonnancements en recherche d'information structurée. - Patrick Gallinari; Jean-Noël Vittaut (CORIA, 2006)

Factorisation en matrices non négatives pour le filtrage collaboratif. - Jean-François Pessiot; Tuong-Vinh Truong; Nicolas Usunier; Massih-Reza Amini; Patrick Gallinari (CORIA, 2006)

Apprentissage statistique pour la constitution des corpus d'évaluation. - Huyen-Trang Vu; Patrick Gallinari (CORIA, 2006)

Modèle probabiliste pour l'extraction de structures dans les documents semistructurés - Application aux documents Web. - Guillaume Wisniewski; Ludovic Denoyer; Francis Maes; Patrick Gallinari (CORIA, 2006)

Machine Learning Ranking for Structured Information Retrieval. - Jean-Noël Vittaut; Patrick Gallinari (ECIR, 2006)

A Selective Sampling Strategy for Label Ranking. - Massih-Reza Amini; Nicolas Usunier; François Laviolette; Alexandre Lacasse; Patrick Gallinari (ECML, 2006)

Report on the XML Mining Track at INEX 2005 and INEX 2006. - Ludovic Denoyer; Patrick Gallinari; Anne-Marie Vercoustre (INEX, 2006)

XML Structure Mapping. - Francis Maes; Ludovic Denoyer; Patrick Gallinari (INEX, 2006)

Supervised and Semi-supervised Machine Learning Ranking. - Jean-Noël Vittaut; Patrick Gallinari (INEX, 2006)

A Machine Learning based Approach to Evaluating Retrieval Systems. - Huyen-Trang Vu; Patrick Gallinari (HLT-NAACL, 2006)

Résumé automatique de texte avec un algorithme d'ordonnancement. - Nicolas Usunier; Massih-Reza Amini; Patrick Gallinari (Ingénierie des Systèmes d Inf., 2006)

The Wikipedia XML corpus. - Ludovic Denoyer; Patrick Gallinari (SIGIR Forum, 2006)

Filtrage Collaboratif avec un Algorithme d'Ordonnancement. - Jean-François Pessiot; Tuong-Vinh Truong; Nicolas Usunier; Massih-Reza Amini; Patrick Gallinari (CORIA, 2007)

Sequence Labeling with Reinforcement Learning and Ranking Algorithms. - Francis Maes; Ludovic Denoyer; Patrick Gallinari (ECML, 2007)

Ré-ordonnancement pour l'apprentissage de transformations de documents HTML. - Guillaume Wisniewski; Patrick Gallinari (EGC, 2007)

Learning to Rank for Collaborative Filtering. - Jean-François Pessiot; Tuong-Vinh Truong; Nicolas Usunier; Massih-Reza Amini; Patrick Gallinari (ICEIS (2), 2007)

Solving multiclass support vector machines with LaRank. - Antoine Bordes; Léon Bottou; Patrick Gallinari; Jason Weston (ICML, 2007)

Probabilistic Model for Structured Document Mapping. - Guillaume Wisniewski; Francis Maes; Ludovic Denoyer; Patrick Gallinari (MLDM, 2007)

Flexible Grid-Based Clustering. - Marc-Ismaël Akodjènou-Jeannin; Kavé Salamatian; Patrick Gallinari (PKDD, 2007)

Relaxation Labeling for Selecting and Exploiting Efficiently Non-local Dependencies in Sequence Labeling. - Guillaume Wisniewski; Patrick Gallinari (PKDD, 2007)

From Layout to Semantic: a Reranking Model for Mapping Web Documents to Mediated XML Representations. - Guillaume Wisniewski; Patrick Gallinari (RIAO, 2007)

Online Handwritten Shape Recognition Using Segmental Hidden Markov Models. - Thierry Artières; Sanparith Marukatat; Patrick Gallinari (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Report on the XML mining track at INEX 2005 and INEX 2006: categorization and clustering of XML documents. - Ludovic Denoyer; Patrick Gallinari (SIGIR Forum, 2007)

Precision recall with user modeling (PRUM): Application to structured information retrieval. - Benjamin Piwowarski; Patrick Gallinari; Georges Dupret (ACM Trans. Inf. Syst., 2007)

An extension of PLSA for document clustering. - Young-Min Kim; Jean-François Pessiot; Massih-Reza Amini; Patrick Gallinari (CIKM, 2008)

UPMC/LIP6 at ImageCLEF's WikipediaMM: An Image-Annotation Model for an Image Search-Engine. - Ali Fakeri-Tabrizi; Massih-Reza Amini; Sabrina Tollari; Patrick Gallinari (CLEF (Working Notes), 2008)

UPMC/LIP6 at ImageCLEFphoto 2008: on the Exploitation of Visual Concepts (VCDT). - Sabrina Tollari; Marcin Detyniecki; Ali Fakeri-Tabrizi; Massih-Reza Amini; Patrick Gallinari (CLEF (Working Notes), 2008)

Consortium AVEIR at ImageCLEFphoto 2008: on the Fusion of Runs. - Sabrina Tollari; Marcin Detyniecki; Marin Ferecatu; Hervé Glotin; Philippe Mulhem; Massih-Reza Amini; Ali Fakeri-Tabrizi; Patrick Gallinari; Hichem Sahbi; Zhong-Qiu Zhao (CLEF (Working Notes), 2008)

Using Visual Concepts and Fast Visual Diversity to Improve Image Retrieval. - Sabrina Tollari; Marcin Detyniecki; Ali Fakeri-Tabrizi; Christophe Marsala; Massih-Reza Amini; Patrick Gallinari (CLEF, 2008)

A Comparative Study of Diversity Methods for Hybrid Text and Image Retrieval Approaches. - Sabrina Tollari; Philippe Mulhem; Marin Ferecatu; Hervé Glotin; Marcin Detyniecki; Patrick Gallinari; Hichem Sahbi; Zhong-Qiu Zhao (CLEF, 2008)

Apprentissage de conversion de documents semi-structurés à partir d'exemples. - Francis Maes; Ludovic Denoyer; Patrick Gallinari (CORIA, 2008)

Une méthode contextuelle d'extension de requête avec des groupements de mots pour le résumé automatique. - Jean-François Pessiot; Young-Min Kim; Massih-Reza Amini; Nicolas Usunier; Patrick Gallinari (CORIA, 2008)

Analyse de la robustesse des algorithmes de méta-recherche discriminante. - Huyen-Trang Vu; Patrick Gallinari (CORIA, 2008)

Efficient Data Clustering by Local Density Approximation. - Marc-Ismaël Akodjènou-Jeannin; Patrick Gallinari (ECAI, 2008)

Applications of Reinforcement Learning to Structured Prediction. - Francis Maes; Ludovic Denoyer; Patrick Gallinari (EWRL, 2008)

Clustering en haute dimension par accumulation de clusterings locaux. - Marc-Ismaël Akodjènou-Jeannin; Kavé Salamatian; Patrick Gallinari (EGC, 2008)

Experimental Evaluation of the Value of Structure: How to Efficiently Exploit Interdependencies in Sequence Labeling. - Guillaume Wisniewski; Patrick Gallinari (ICDM, 2008)

Overview of the INEX 2008 XML Mining Track. - Ludovic Denoyer; Patrick Gallinari (INEX, 2008)

Identification of Atrophy Patterns in Alzheimer's Disease Based on SVM Feature Selection and Anatomical Parcellation. - Lilia Mesrob; Benoît Magnin; Olivier Colliot; Marie Sarazin; Valérie Hahn-Barma; Bruno Dubois; Patrick Gallinari; Stéphane Lehéricy; Serge Kinkingnéhun; Habib Benali (MIAR, 2008)

Report on the XML mining track at INEX 2007 categorization and clustering of XML documents. - Ludovic Denoyer; Patrick Gallinari (SIGIR Forum, 2008)

Machine Learning for Semi-structured Multimedia Documents: Application to Pornographic Filtering and Thematic Categorization. - Ludovic Denoyer; Patrick Gallinari (Machine Learning Techniques for Multimedia, 2008)

Learning to Extract Content from News Webpages. - Alex Spengler; Patrick Gallinari (AINA Workshops, 2009)

UPMC/LIP6 at ImageCLEFannotation2009: Large Scale Visual Concept Detection and Annotation. - Ali Fakeri-Tabrizi; Sabrina Tollari; Ludovic Denoyer; Patrick Gallinari (CLEF (Working Notes), 2009)

Improving Image Annotation in Imbalanced Classification Problems with Ranking SVM. - Ali Fakeri-Tabrizi; Sabrina Tollari; Nicolas Usunier; Patrick Gallinari (CLEF (2), 2009)

Comparison of Various AVEIR Visual Concept Detectors with an Index of Carefulness. - Hervé Glotin; Ali Fakeri-Tabrizi; Philippe Mulhem; Marin Ferecatu; Z. Zhao; Sabrina Tollari; Georges Quénot; Hichem Sahbi; Emilie Dumont; Patrick Gallinari (CLEF (Working Notes), 2009)

Utilisation de concepts visuels et de la diversité visuelle pour améliorer la recherche d'images. - Sabrina Tollari; Marcin Detyniecki; Ali Fakeri-Tabrizi; Christophe Marsala; Massih-Reza Amini; Patrick Gallinari (CORIA, 2009)

Exploiting Visual Concepts to Improve Text-Based Image Retrieval. - Sabrina Tollari; Marcin Detyniecki; Christophe Marsala; Ali Fakeri-Tabrizi; Massih-Reza Amini; Patrick Gallinari (ECIR, 2009)

A self-training method for learning to rank with unlabeled data. - Tuong-Vinh Truong; Massih-Reza Amini; Patrick Gallinari (ESANN, 2009)

Probabilistic Multi-classifier by SVM from voting rule to voting features. - Anh Phuc Trinh; David Buffoni; Patrick Gallinari (EGC, 2009)

Ranking with ordered weighted pairwise classification. - Nicolas Usunier; David Buffoni; Patrick Gallinari (ICML, 2009)

LIP6 at INEX'09: OWPC for Ad Hoc Track. - David Buffoni; Nicolas Usunier; Patrick Gallinari (INEX, 2009)

Overview of the INEX 2009 XML Mining Track: Clustering and Classification of XML Documents. - Richi Nayak; Christopher M. De Vries; Sangeetha Kutty; Shlomo Geva; Ludovic Denoyer; Patrick Gallinari (INEX, 2009)

Simulated Iterative Classification A New Learning Procedure for Graph Labeling. - Francis Maes; Stéphane Peters; Ludovic Denoyer; Patrick Gallinari (ECML/PKDD (2), 2009)

SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent. - Antoine Bordes; Léon Bottou; Patrick Gallinari (J. Mach. Learn. Res., 2009)

Structured prediction with reinforcement learning. - Francis Maes; Ludovic Denoyer; Patrick Gallinari (Mach. Learn., 2009)

Report on INEX 2008. - Gianluca Demartini; Ludovic Denoyer; Antoine Doucet; Khairun Nisa Fachry; Patrick Gallinari; Shlomo Geva; Darren Wei Che Huang; Tereza Iofciu; Jaap Kamps; Gabriella Kazai; Marijn Koolen; Monica Landoni; et al. (SIGIR Forum, 2009)

Iterative Annotation of Multi-relational Social Networks. - Stéphane Peters; Ludovic Denoyer; Patrick Gallinari (ASONAM, 2010)

UPMC/LIP6 at ImageCLEFannotation 2010. - Ali Fakeri-Tabrizi; Sabrina Tollari; Nicolas Usunier; Massih-Reza Amini; Patrick Gallinari (CLEF (Notebook Papers/LABs/Workshops), 2010)

Apprentissage de fonctions d'ordonnancement par classification de paires ordonnées et pondérées (OWPC). - David Buffoni; Nicolas Usunier; Patrick Gallinari (CORIA, 2010)

Modèles d'Ordonnancement pour l'Annotation Automatique d'Images dans les Réseaux Sociaux. - Ludovic Denoyer; Patrick Gallinari (CORIA, 2010)

Document structure meets page layout: loopy random fields for web news content extraction. - Alex Spengler; Patrick Gallinari (ACM Symposium on Document Engineering, 2010)

A Ranking Based Model for Automatic Image Annotation in a Social Network. - Ludovic Denoyer; Patrick Gallinari (ICWSM, 2010)

LIP6 at INEX'10: OWPC for Ad Hoc Track. - David Buffoni; Nicolas Usunier; Patrick Gallinari (INEX, 2010)

A comparison of discriminative classifiers for web news content extraction. - Alex Spengler; Antoine Bordes; Patrick Gallinari (RIAO, 2010)

Multi-view clustering of multilingual documents. - Young-Min Kim; Massih-Reza Amini; Cyril Goutte; Patrick Gallinari (SIGIR, 2010)

Preventing adverse drug events by extracting information from drug fact sheets. - Stefania Rubrichi; Alex Spengler; Patrick Gallinari; Silvana Quaglini (Semantic Mining in Biomedicine, 2010)

Éditorial. - Mohand Boughanem; Patrick Gallinari (Document Numérique, 2010)

Apprentissage d'un espace de concepts de mots pour une nouvelle représentation des données textuelles. - Young-Min Kim; Jean-François Pessiot; Massih-Reza Amini; Patrick Gallinari (Document Numérique, 2010)

Exploitation du contenu visuel pour améliorer la recherche textuelle d'images en ligne. - Sabrina Tollari; Marcin Detyniecki; Ali Fakeri-Tabrizi; Christophe Marsala; Massih-Reza Amini; Patrick Gallinari (Document Numérique, 2010)

Improving document clustering in a learned concept space. - Jean-François Pessiot; Young-Min Kim; Massih-Reza Amini; Patrick Gallinari (Inf. Process. Manag., 2010)

Erratum: SGDQN is Less Careful than Expected. - Antoine Bordes; Léon Bottou; Patrick Gallinari; Jonathan D. Chang; S. Alex Smith (J. Mach. Learn. Res., 2010)

Report on INEX 2009. - Thomas Beckers 002; Patrice Bellot; Gianluca Demartini; Ludovic Denoyer; Christopher M. De Vries; Antoine Doucet; Khairun Nisa Fachry; Norbert Fuhr; Patrick Gallinari; Shlomo Geva; Wei Chi Huang; Tereza Iofciu; et al. (SIGIR Forum, 2010)

Extracting Information from Summary of Product Characteristics for Improving Drugs Prescription Safety. - Stefania Rubrichi; Silvana Quaglini; Alex Spengler; Patrick Gallinari (AIME, 2011)

Link Pattern Prediction with tensor decomposition in multi-relational networks. - Sheng Gao 001; Ludovic Denoyer; Patrick Gallinari (CIDM, 2011)

Temporal link prediction by integrating content and structure information. - Sheng Gao 001; Ludovic Denoyer; Patrick Gallinari (CIKM, 2011)

Classification and annotation in social corpora using multiple relations. - Yann Jacob; Ludovic Denoyer; Patrick Gallinari (CIKM, 2011)

Apprentissage des schémas de propagation dans les multi-graphes. - Yann Jacob; Ludovic Denoyer; Patrick Gallinari (CORIA, 2011)

Réseau de neurones profond et SVM pour la classification des sentiments. - Abdelhalim Rafrafi; Vincent Guigue; Patrick Gallinari (CORIA, 2011)

The Importance of the Depth for Text-Image Selection Strategy in Learning-To-Rank. - David Buffoni; Sabrina Tollari; Patrick Gallinari (ECIR, 2011)

Text Classification: A Sequential Reading Approach. - Gabriel Dulac-Arnold; Ludovic Denoyer; Patrick Gallinari (ECIR, 2011)

Learning Scoring Functions with Order-Preserving Losses and Standardized Supervision. - David Buffoni; Clément Calauzènes; Patrick Gallinari; Nicolas Usunier (ICML, 2011)

Datum-Wise Classification: A Sequential Approach to Sparsity. - Gabriel Dulac-Arnold; Ludovic Denoyer; Philippe Preux; Patrick Gallinari (ECML/PKDD (1), 2011)

Learnable Ranking Models for Automatic Text Summarization and Information Retrieval. - Massih-Reza Amini; David Buffoni; Patrick Gallinari; Tuong-Vinh Truong; Nicolas Usunier (Textual Information Access: Statistical Models, 2012)

BioASQ: A Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering. - George Tsatsaronis 001; Michael Schroeder 001; Georgios Paliouras; Yannis Almirantis; Ion Androutsopoulos; Éric Gaussier; Patrick Gallinari; Thierry Artières; Michael R. Alvers; Matthias Zschunke; Axel-Cyrille Ngonga Ngomo (AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text, 2012)

Lecture Séquentielle de Documents pour la Classification. - Gabriel Dulac-Arnold; Ludovic Denoyer; Patrick Gallinari (CORIA, 2012)

Représentations et régularisations pour la classification de sentiments. - Abdelhalim Rafrafi; Vincent Guigue; Patrick Gallinari (CORIA, 2012)

Probabilistic Latent Tensor Factorization model for link pattern prediction. - Sheng Gao 001; Ludovic Denoyer; Patrick Gallinari (IC-NIDC, 2012)

Matrix Pseudoinversion for Image Neural Processing. - Rossella Cancelliere; Mario Gai; Thierry Artières; Patrick Gallinari (ICONIP (5), 2012)

Coping with the Document Frequency Bias in Sentiment Classification. - Abdelhalim Rafrafi; Vincent Guigue; Patrick Gallinari (ICWSM, 2012)

"On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking". - Clément Calauzènes; Nicolas Usunier; Patrick Gallinari (NIPS, 2012)

Learning Compact Class Codes for Fast Inference in Large Multi Class Classification. - Moustapha Cissé; Thierry Artières; Patrick Gallinari (ECML/PKDD (1), 2012)

Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP Factorization. - Gabriel Dulac-Arnold; Ludovic Denoyer; Philippe Preux; Patrick Gallinari (ECML/PKDD (2), 2012)

Ranking with non-random missing ratings: influence of popularity and positivity on evaluation metrics. - Bruno Pradel; Nicolas Usunier; Patrick Gallinari (RecSys, 2012)

Link prediction via latent factor BlockModel. - Sheng Gao 001; Ludovic Denoyer; Patrick Gallinari (WWW (Companion Volume), 2012)

Predicting information diffusion on social networks with partial knowledge. - Anis Najar; Ludovic Denoyer; Patrick Gallinari (WWW (Companion Volume), 2012)

Modeling Relational Data via Latent Factor Blockmodel - Sheng Gao 001; Ludovic Denoyer; Patrick Gallinari (CoRR, 2012)

Probabilistic Latent Tensor Factorization Model for Link Pattern Prediction in Multi-relational Networks - Sheng Gao 001; Ludovic Denoyer; Patrick Gallinari (CoRR, 2012)

Apprentissage automatique de la propagation des étiquettes dans les réseaux sociaux multirelationnels. - Yann Jacob; Ludovic Denoyer; Patrick Gallinari (Document Numérique, 2012)

Prédiction de liens temporels en intégrant les informations de contenu et de structure. - Sheng Gao 001; Ludovic Denoyer; Patrick Gallinari (Ingénierie des Systèmes d Inf., 2012)

Sequential approaches for learning datum-wise sparse representations. - Gabriel Dulac-Arnold; Ludovic Denoyer; Philippe Preux; Patrick Gallinari (Mach. Learn., 2012)

A Learning to Rank framework applied to text-image retrieval. - David Buffoni; Sabrina Tollari; Patrick Gallinari (Multim. Tools Appl., 2012)

Iterative Multi-label Multi-relational Classification Algorithm for complex social networks. - Stéphane Peters; Yann Jacob; Ludovic Denoyer; Patrick Gallinari (Soc. Netw. Anal. Min., 2012)

Corpus-Based Structure Mapping of XML Document Corpora: A Reinforcement Learning Based Model. - Francis Maes; Ludovic Denoyer; Patrick Gallinari (Modeling, Learning, and Processing of Text Technological Data Structures, 2012)

Choosing which message to publish on social networks: a contextual bandit approach. - Ricardo Lage; Ludovic Denoyer; Patrick Gallinari; Peter Dolog (ASONAM, 2013)

Classification dans les graphes hétérogènes basée sur une représentation latente des noeuds. - Yann Jacob; Ludovic Denoyer; Patrick Gallinari (CORIA, 2013)

Classification de Sentiments Multi-Domaines et Passage à l'Echelle. - Abdelhalim Rafrafi; Vincent Guigue; Patrick Gallinari (CORIA, 2013)

Latent Factor BlockModel for Modelling Relational Data. - Sheng Gao 001; Ludovic Denoyer; Patrick Gallinari; Jun Guo 002 (ECIR, 2013)

Predicting Information Diffusion in Social Networks Using Content and User's Profiles. - Cédric Lagnier; Ludovic Denoyer; Éric Gaussier; Patrick Gallinari (ECIR, 2013)

Multiview semi-supervised ranking for automatic image annotation. - Ali Fakeri-Tabrizi; Massih-Reza Amini; Patrick Gallinari (ACM Multimedia, 2013)

Robust Bloom Filters for Large MultiLabel Classification Tasks. - Moustapha Cissé; Nicolas Usunier; Thierry Artières; Patrick Gallinari (NIPS, 2013)

Cross-Domain Recommendation via Cluster-Level Latent Factor Model. - Sheng Gao 001; Hao Luo; Da Chen; Shantao Li; Patrick Gallinari; Jun Guo 002 (ECML/PKDD (2), 2013)

Cross-media sentiment classification and application to box-office forecasting. - Élie Guàrdia-Sebaoun; Abdelhalim Rafrafi; Vincent Guigue; Patrick Gallinari (OAIR, 2013)

A system for the extraction and representation of summary of product characteristics content. - Stefania Rubrichi; Silvana Quaglini; Alex Spengler; Paola Russo; Patrick Gallinari (Artif. Intell. Medicine, 2013)

Calibration and regret bounds for order-preserving surrogate losses in learning to rank. - Clément Calauzènes; Nicolas Usunier; Patrick Gallinari (Mach. Learn., 2013)

A Cross-Domain Recommendation Model for Cyber-Physical Systems. - Sheng Gao 001; Hao Luo; Da Chen; Shantao Li; Patrick Gallinari; Zhanyu Ma; Jun Guo 002 (IEEE Trans. Emerg. Top. Comput., 2013)

Computational Experience with Pseudoinversion-Based Training of Neural Networks Using Random Projection Matrices. - Luca Rubini; Rossella Cancelliere; Patrick Gallinari; Andrea Grosso; Antonino Raiti (AIMSA, 2014)

Graph Anonymization Using Machine Learning. - Maria Laura Maag; Ludovic Denoyer; Patrick Gallinari (AINA, 2014)

Apprentissage de représentation pour la diffusion d'Information dans les réseaux sociaux. - Simon Bourigault; Cédric Lagnier; Sylvain Lamprier; Ludovic Denoyer; Patrick Gallinari (CORIA-CIFED, 2014)

Filtrage collaboratif et intégration de la polarité des jugements. - Luc-Aurélien Gauthier; Benjamin Piwowarski; Patrick Gallinari (CORIA-CIFED, 2014)

Recommandation par combinaison de filtrage collaboratif et d'analyse de sentiments. - Mickaël Poussevin; Élie Guàrdia-Sebaoun; Vincent Guigue; Patrick Gallinari (CORIA-CIFED, 2014)

Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization. - Mickaël Poussevin; Emeric Tonnelier; Nicolas Baskiotis; Vincent Guigue; Patrick Gallinari (MSM/MUSE/SenseML, 2014)

A Latent Representation Model for Sentiment Analysis in Heterogeneous Social Networks. - Debora Nozza; Daniele Maccagnola; Vincent Guigue; Enza Messina; Patrick Gallinari (SEFM Workshops, 2014)

Learning social network embeddings for predicting information diffusion. - Simon Bourigault; Cédric Lagnier; Sylvain Lamprier; Ludovic Denoyer; Patrick Gallinari (WSDM, 2014)

Learning latent representations of nodes for classifying in heterogeneous social networks. - Yann Jacob; Ludovic Denoyer; Patrick Gallinari (WSDM, 2014)

Web-scale classification: web classification in the big data era. - Ioannis Partalas; Massih-Reza Amini; Ion Androutsopoulos; Thierry Artières; Patrick Gallinari; Éric Gaussier; Georgios Paliouras (WSDM, 2014)

Learning States Representations in POMDP. - Gabriella Contardo; Ludovic Denoyer; Thierry Artières; Patrick Gallinari (ICLR (Workshop Poster), 2014)

Deep Sequential Neural Network. - Ludovic Denoyer; Patrick Gallinari (CoRR, 2014)

Sequentially Generated Instance-Dependent Image Representations for Classification. - Gabriel Dulac-Arnold; Ludovic Denoyer; Nicolas Thome; Matthieu Cord; Patrick Gallinari (ICLR, 2014)

Learning Information Spread in Content Networks. - Cédric Lagnier; Simon Bourigault; Sylvain Lamprier; Ludovic Denoyer; Patrick Gallinari (ICLR (Workshop Poster), 2014)

Leveraging Rating Behavior to Predict Negative Social Ties. - Luc-Aurélien Gauthier; Benjamin Piwowarski; Patrick Gallinari (ASONAM, 2015)

Extracting Diffusion Channels from Real-World Social Data: a Delay-Agnostic Learning of Transmission Probabilities. - Sylvain Lamprier; Simon Bourigault; Patrick Gallinari (ASONAM, 2015)

Graph Based Method Approach to the ImageCLEF2015 Task1 - Image Annotation. - Ludovic Dos Santos; Benjamin Piwowarski; Patrick Gallinari (CLEF (Working Notes), 2015)

Polarité des jugements et des interactions pour le filtrage collaboratif et la prédiction de liens sociaux. - Luc-Aurélien Gauthier; Benjamin Piwowarski; Patrick Gallinari (CORIA, 2015)

Extraction d'un vocabulaire de surprise par mélange de filtrage collaboratif et d'analyse de sentiments. - Mickaël Poussevin; Vincent Guigue; Patrick Gallinari (CORIA, 2015)

Policies for Contextual Bandit Problems with Count Payoffs. - Thibault Gisselbrecht; Sylvain Lamprier; Patrick Gallinari (ICTAI, 2015)

WhichStreams: A Dynamic Approach for Focused Data Capture from Large Social Media. - Thibault Gisselbrecht; Ludovic Denoyer; Patrick Gallinari; Sylvain Lamprier (ICWSM, 2015)

Latent Trajectory Modeling: A Light and Efficient Way to Introduce Time in Recommender Systems. - Élie Guàrdia-Sebaoun; Vincent Guigue; Patrick Gallinari (RecSys, 2015)

Extended Recommendation Framework: Generating the Text of a User Review as a Personalized Summary. - Mickaël Poussevin; Vincent Guigue; Patrick Gallinari (CBRecSys@RecSys, 2015)

An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition. - George Tsatsaronis 001; Georgios Balikas; Prodromos Malakasiotis; Ioannis Partalas; Matthias Zschunke; Michael R. Alvers; Dirk Weissenborn; Anastasia Krithara; Sergios Petridis; Dimitris Polychronopoulos; Yannis Almirantis; John Pavlopoulos; et al. (BMC Bioinform., 2015)

An analysis of numerical issues in neural training by pseudoinversion. - Rossella Cancelliere; R. Deluca; Mario Gai; Patrick Gallinari; Luca Rubini (CoRR, 2015)

LSHTC: A Benchmark for Large-Scale Text Classification. - Ioannis Partalas; Aris Kosmopoulos; Nicolas Baskiotis; Thierry Artières; George Paliouras; Éric Gaussier; Ion Androutsopoulos; Massih-Reza Amini; Patrick Gallinari (CoRR, 2015)

Knowledge base completion by learning pairwise-interaction differentiated embeddings. - Yu Zhao 019; Sheng Gao 001; Patrick Gallinari; Jun Guo 002 (Data Min. Knowl. Discov., 2015)

Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux. - Thibault Gisselbrecht; Ludovic Denoyer; Patrick Gallinari; Sylvain Lamprier (Document Numérique, 2015)

OCReP: An Optimally Conditioned Regularization for pseudoinversion based neural training. - Rossella Cancelliere; Mario Gai; Patrick Gallinari; Luca Rubini (Neural Networks, 2015)

Apprentissage de représentations probabilistes pour la prédiction de diffusions d'informations sur les réseaux sociaux. - Simon Bourigault; Sylvain Lamprier; Patrick Gallinari (CORIA-CIFED, 2016)

Recommandation et analyse de sentiments dans un espace latent textuel. - Charles-Emmanuel Dias; Vincent Guigue; Patrick Gallinari (CORIA-CIFED, 2016)

Bandit contextuel pour la capture de données temps réel sur les médias sociaux. - Thibault Gisselbrecht; Sylvain Lamprier; Patrick Gallinari (CORIA-CIFED, 2016)

Représentation temporelle des mots : application au clustering de micro-blogs. - Zeljko Kraljevic; Nicolas Baskiotis; Benjamin Piwowarski; Patrick Gallinari (CORIA-CIFED, 2016)

Dynamic Data Capture from Social Media Streams: A Contextual Bandit Approach. - Thibault Gisselbrecht; Sylvain Lamprier; Patrick Gallinari (ICWSM, 2016)

Smart card in public transportation: Designing a analysis system at the human scale. - Emeric Tonnelier; Nicolas Baskiotis; Vincent Guigue; Patrick Gallinari (ITSC, 2016)

Learning Distributed Representations of Users for Source Detection in Online Social Networks. - Simon Bourigault; Sylvain Lamprier; Patrick Gallinari (ECML/PKDD (2), 2016)

Linear Bandits in Unknown Environments. - Thibault Gisselbrecht; Sylvain Lamprier; Patrick Gallinari (ECML/PKDD (2), 2016)

Multilabel Classification on Heterogeneous Graphs with Gaussian Embeddings. - Ludovic Dos Santos; Benjamin Piwowarski; Patrick Gallinari (ECML/PKDD (2), 2016)

Representation Learning for Information Diffusion through Social Networks: an Embedded Cascade Model. - Simon Bourigault; Sylvain Lamprier; Patrick Gallinari (WSDM, 2016)

A Novel Multimodal Deep Neural Network Framework for Extending Knowledge Base. - Yu Zhao 019; Sheng Gao 001; Patrick Gallinari; Jun Guo 002 (Computación y Sistemas, 2016)

Apprentissage de représentations pour la modélisation de processus de diffusion dans les réseaux sociaux. - Simon Bourigault; Sylvain Lamprier; Patrick Gallinari (Document Numérique, 2016)

Collecte ciblée à partir de flux de données en ligne dans les médias sociaux. Une approche de bandit contextuel. - Thibault Gisselbrecht; Sylvain Lamprier; Patrick Gallinari (Document Numérique, 2016)

Local search and pseudoinversion: an hybrid approach to neural network training. - Luca Rubini; Rossella Cancelliere; Patrick Gallinari; Andrea Grosso (Knowl. Inf. Syst., 2016)

Influence learning for cascade diffusion models: focus on partial orders of infections. - Sylvain Lamprier; Simon Bourigault; Patrick Gallinari (Soc. Netw. Anal. Min., 2016)

LIP6@CLEF2017: Multi-Modal Spatial Role Labeling using Word Embeddings. - Eloi Zablocki; Patrick Bordes; Laure Soulier; Benjamin Piwowarski; Patrick Gallinari (CLEF (Working Notes), 2017)

Apprentissage de représentation pour la détection de source dans les réseaux sociaux. - Simon Bourigault; Sylvain Lamprier; Patrick Gallinari (CORIA, 2017)

Passé, présent, futurs : induction de carrières professionnelles à partir de CV. - Charles-Emmanuel Dias; Vincent Guigue; Patrick Gallinari (CORIA, 2017)

Anomaly detection and characterization in smart card logs using NMF and Tweets. - Emeric Tonnelier; Nicolas Baskiotis; Vincent Guigue; Patrick Gallinari (ESANN, 2017)

Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery. - Ali Ziat; Edouard Delasalles; Ludovic Denoyer; Patrick Gallinari (ICDM, 2017)

Variational Thompson Sampling for Relational Recurrent Bandits. - Sylvain Lamprier; Thibault Gisselbrecht; Patrick Gallinari (ECML/PKDD (2), 2017)

Gaussian Embeddings for Collaborative Filtering. - Ludovic Dos Santos; Benjamin Piwowarski; Patrick Gallinari (SIGIR, 2017)

Multiple Bayesian discriminant functions for high-dimensional massive data classification. - Jianfei Zhang 002; Shengrui Wang; Lifei Chen; Patrick Gallinari (Data Min. Knowl. Discov., 2017)

A Novel Embedding Model for Relation Prediction in Recommendation Systems. - Yu Zhao 019; Sheng Gao 001; Patrick Gallinari; Jun Guo 002 (IEICE Trans. Inf. Syst., 2017)

Zero-Shot Embedding for Unseen Entities in Knowledge Graph. - Yu Zhao 019; Sheng Gao 001; Patrick Gallinari; Jun Guo 002 (IEICE Trans. Inf. Syst., 2017)

A Novel Embedding Method for Information Diffusion Prediction in Social Network Big Data. - Sheng Gao 001; Huacan Pang; Patrick Gallinari; Jun Guo 002; Nei Kato (IEEE Trans. Ind. Informatics, 2017)

Learning Multi-Modal Word Representation Grounded in Visual Context. - Eloi Zablocki; Benjamin Piwowarski; Laure Soulier; Patrick Gallinari (AAAI, 2018)

RNN et modèle d'attention pour l'apprentissage de profils textuels personnalisés. - Charles-Emmanuel Dias; Clara Gainon de Forsan de Gabriac; Vincent Guigue; Patrick Gallinari (CORIA, 2018)

Représentations Gaussiennes pour le Filtrage Collaboratif. - Hadrien Titeux; Benjamin Piwowarski; Patrick Gallinari (CORIA, 2018)

Regularize and explicit collaborative filtering with textual attention. - Charles-Emmanuel Dias; Vincent Guigue; Patrick Gallinari (ESANN, 2018)

Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge. - Emmanuel de Bézenac; Arthur Pajot; Patrick Gallinari (ICLR (Poster), 2018)

Time Warp Invariant Dictionary Learning for Time Series Clustering: Application to Music Data Stream Analysis. - Saeed Varasteh Yazdi; Ahlame Douzal Chouakria; Patrick Gallinari; Manuel Moussallam (ECML/PKDD (1), 2018)

DEFT 2018: Attention sélective pour classification de microblogs (DEFT 2018 : Selective Attention for Microblogging Classification ). - Charles-Emmanuel Dias; Clara Gainon de Forsan de Gabriac; Patrick Gallinari; Vincent Guigue (CORIA-TALN-RJC (DeFT), 2018)

Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification. - Alejandro Lopez Rincon; Alberto Paolo Tonda; Mohamed Elati; Olivier Schwander; Benjamin Piwowarski; Patrick Gallinari (Appl. Soft Comput., 2018)

Détection de sources de diffusion par apprentissage de représentations distribuées. - Simon Bourigault; Sylvain Lamprier; Patrick Gallinari (Document Numérique, 2018)

A novel non-Gaussian embedding based model for recommender systems. - Lin Qiu; Sheng Gao 001; Qinjie Lyu; Jun Guo 002; Patrick Gallinari (Neurocomputing, 2018)

Anomaly detection in smart card logs and distant evaluation with Twitter: a robust framework. - Emeric Tonnelier; Nicolas Baskiotis; Vincent Guigue; Patrick Gallinari (Neurocomputing, 2018)

Profile-Based Bandit with Unknown Profiles. - Sylvain Lamprier; Thibault Gisselbrecht; Patrick Gallinari (J. Mach. Learn. Res., 2018)

A distributed Frank-Wolfe framework for learning low-rank matrices with the trace norm. - Wenjie Zheng 001; Aurélien Bellet; Patrick Gallinari (Mach. Learn., 2018)

Representation Learning for Classification in Heterogeneous Graphs with Application to Social Networks. - Ludovic Dos Santos; Benjamin Piwowarski; Ludovic Denoyer; Patrick Gallinari (ACM Trans. Knowl. Discov. Data, 2018)

Un modèle multimodal d'apprentissage de représentations de phrases qui préserve la sémantique visuelle. - Patrick Bordes; Eloi Zablocki; Laure Soulier; Benjamin Piwowarski; Patrick Gallinari (CORIA, 2019)

Incorporating Visual Semantics into Sentence Representations within a Grounded Space. - Patrick Bordes; Eloi Zablocki; Laure Soulier; Benjamin Piwowarski; Patrick Gallinari (EMNLP/IJCNLP (1), 2019)

EP-Net: Learning Cardiac Electrophysiology Models for Physiology-Based Constraints in Data-Driven Predictions. - Ibrahim Ayed; Nicolas Cedilnik; Patrick Gallinari; Maxime Sermesant (FIMH, 2019)

Unsupervised Adversarial Image Reconstruction. - Arthur Pajot; Emmanuel de Bézenac; Patrick Gallinari (ICLR (Poster), 2019)

Context-Aware Zero-Shot Learning for Object Recognition. - Eloi Zablocki; Patrick Bordes; Laure Soulier; Benjamin Piwowarski; Patrick Gallinari (ICML, 2019)

Copy Mechanism and Tailored Training for Character-Based Data-to-Text Generation. - Marco Roberti; Giovanni Bonetta; Rossella Cancelliere; Patrick Gallinari (ECML/PKDD (2), 2019)

Learning Dynamical Systems from Partial Observations. - Ibrahim Ayed; Emmanuel de Bézenac; Arthur Pajot; Julien Brajard; Patrick Gallinari (CoRR, 2019)

Regression with Conditional GAN. - Karan Aggarwal; Matthieu Kirchmeyer; Pranjul Yadav; S. Sathiya Keerthi; Patrick Gallinari (CoRR, 2019)

Optimal Unsupervised Domain Translation. - Emmanuel de Bézenac; Ibrahim Ayed; Patrick Gallinari (CoRR, 2019)

Unsupervised Adversarial Image Inpainting. - Arthur Pajot; Emmanuel de Bézenac; Patrick Gallinari (CoRR, 2019)

Contextual bandits with hidden contexts: a focused data capture from social media streams. - Sylvain Lamprier; Thibault Gisselbrecht; Patrick Gallinari (Data Min. Knowl. Discov., 2019)

Embedding Learning with Triple Trustiness on Noisy Knowledge Graph. - Yu Zhao 019; Huali Feng; Patrick Gallinari (Entropy, 2019)

Real-time detection of driver distraction: random projections for pseudo-inversion-based neural training. - Marco Botta; Rossella Cancelliere; Leo Ghignone; Fabio Tango; Patrick Gallinari; Clara Luison (Knowl. Inf. Syst., 2019)

Spatio-temporal neural networks for space-time data modeling and relation discovery. - Edouard Delasalles; Ali Ziat; Ludovic Denoyer; Patrick Gallinari (Knowl. Inf. Syst., 2019)

Capturing Entity Hierarchy in Data-to-Text Generative Models. - Clément Rebuffel; Laure Soulier; Geoffrey Scoutheeten; Patrick Gallinari (CIRCLE, 2020)

A Hierarchical Model for Data-to-Text Generation. - Clément Rebuffel; Laure Soulier; Geoffrey Scoutheeten; Patrick Gallinari (ECIR (1), 2020)

Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization. - Bruno Taillé; Vincent Guigue; Patrick Gallinari (ECIR (2), 2020)

Let's Stop Incorrect Comparisons in End-to-end Relation Extraction! - Bruno Taillé; Vincent Guigue; Geoffrey Scoutheeten; Patrick Gallinari (EMNLP (1), 2020)

Resume: A Robust Framework for Professional Profile Learning & Evaluation. - Clara Gainon de Forsan de Gabriac; Constance Scherer; Amina Djelloul; Vincent Guigue; Patrick Gallinari (ESANN, 2020)

Transfert entre campagnes de Real-Time Bidding. - Charles Monzani; Martial Hue; Patrick Gallinari (EGC, 2020)

Learning the Spatio-Temporal Dynamics of Physical Processes from Partial Observations. - Ibrahim Ayed; Emmanuel de Bézenac; Arthur Pajot; Patrick Gallinari (ICASSP, 2020)

Deep-SST-Eddies: A Deep Learning Framework to Detect Oceanic Eddies in Sea Surface Temperature Images. - Evangelos Moschos; Olivier Schwander; Alexandre Stegner; Patrick Gallinari (ICASSP, 2020)

Stochastic Latent Residual Video Prediction. - Jean-Yves Franceschi; Edouard Delasalles; Mickaël Chen; Sylvain Lamprier; Patrick Gallinari (ICML, 2020)

PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation. - Clément Rebuffel; Laure Soulier; Geoffrey Scoutheeten; Patrick Gallinari (INLG, 2020)

What BERT Sees: Cross-Modal Transfer for Visual Question Generation. - Thomas Scialom; Patrick Bordes; Paul-Alexis Dray; Jacopo Staiano; Patrick Gallinari (INLG, 2020)

Normalizing Kalman Filters for Multivariate Time Series Analysis. - Emmanuel de Bézenac; Syama Sundar Rangapuram; Konstantinos Benidis; Michael Bohlke-Schneider; Richard Kurle; Lorenzo Stella; Hilaf Hasson; Patrick Gallinari; Tim Januschowski (NeurIPS, 2020)

A Principle of Least Action for the Training of Neural Networks. - Skander Karkar; Ibrahim Ayed; Emmanuel de Bézenac; Patrick Gallinari (ECML/PKDD (2), 2020)

Interpretable time series kernel analytics by pre-image estimation. - Thi Phuong Thao Tran; Ahlame Douzal Chouakria; Saeed Varasteh Yazdi; Paul Honeine; Patrick Gallinari (Artif. Intell., 2020)

BERT Can See Out of the Box: On the Cross-modal Transferability of Text Representations. - Thomas Scialom; Patrick Bordes; Paul-Alexis Dray; Jacopo Staiano; Patrick Gallinari (CoRR, 2020)

Transductive Zero-Shot Learning using Cross-Modal CycleGAN. - Patrick Bordes; Eloi Zablocki; Benjamin Piwowarski; Patrick Gallinari (CoRR, 2020)

Stochastic sparse adversarial attacks. - Hatem Hajri; Manon Césaire; Théo Combey; Sylvain Lamprier; Patrick Gallinari (CoRR, 2020)

Knowledge graph entity typing via learning connecting embeddings. - Yu Zhao 019; Anxiang Zhang; Huali Feng; Qing Li 005; Patrick Gallinari; Fuji Ren (Knowl. Based Syst., 2020)

Classification of Eddy Sea Surface Temperature Signatures Under Cloud Coverage. - Evangelos Moschos; Alexandre Stegner; Olivier Schwander; Patrick Gallinari (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Learning Dynamical Systems across Environments. - Yuan Yin; Ibrahim Ayed; Emmanuel de Bézenac; Patrick Gallinari (AAAI Spring Symposium: MLPS, 2021)

Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation. - Clément Rebuffel; Thomas Scialom; Laure Soulier; Benjamin Piwowarski; Sylvain Lamprier; Jacopo Staiano; Geoffrey Scoutheeten; Patrick Gallinari (EMNLP (1), 2021)

QuestEval: Summarization Asks for Fact-based Evaluation. - Thomas Scialom; Paul-Alexis Dray; Sylvain Lamprier; Benjamin Piwowarski; Jacopo Staiano; Alex Wang; Patrick Gallinari (EMNLP (1), 2021)

Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction. - Bruno Taillé; Vincent Guigue; Geoffrey Scoutheeten; Patrick Gallinari (EMNLP (1), 2021)

EP-Net 2.0: Out-of-Domain Generalisation for Deep Learning Models of Cardiac Electrophysiology. - Victoriya Kashtanova; Ibrahim Ayed; Nicolas Cedilnik; Patrick Gallinari; Maxime Sermesant (FIMH, 2021)

PDE-Driven Spatiotemporal Disentanglement. - Jérémie Donà; Jean-Yves Franceschi; Sylvain Lamprier; Patrick Gallinari (ICLR, 2021)

Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. - Yuan Yin; Vincent Le Guen; Jérémie Donà; Emmanuel de Bézenac; Ibrahim Ayed; Nicolas Thome; Patrick Gallinari (ICLR, 2021)

Stochastic sparse adversarial attacks. - Manon Césaire; Lucas Schott; Hatem Hajri; Sylvain Lamprier; Patrick Gallinari (ICTAI, 2021)

Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling. - Carlo Metta; Riccardo Guidotti; Yuan Yin; Patrick Gallinari; Salvatore Rinzivillo (ISCC, 2021)

LEADS: Learning Dynamical Systems that Generalize Across Environments. - Yuan Yin; Ibrahim Ayed; Emmanuel de Bézenac; Nicolas Baskiotis; Patrick Gallinari (NeurIPS, 2021)

CycleGAN Through the Lens of (Dynamical) Optimal Transport. - Emmanuel de Bézenac; Ibrahim Ayed; Patrick Gallinari (ECML/PKDD (2), 2021)

Differentiable Feature Selection, A Reparameterization Approach. - Jérémie Donà; Patrick Gallinari (ECML/PKDD (3), 2021)

SAFEval: Summarization Asks for Fact-based Evaluation. - Thomas Scialom; Paul-Alexis Dray; Patrick Gallinari; Sylvain Lamprier; Benjamin Piwowarski; Jacopo Staiano; Alex Wang (CoRR, 2021)

Explainable Deep Image Classifiers for Skin Lesion Diagnosis. - Carlo Metta; Andrea Beretta; Riccardo Guidotti; Yuan Yin; Patrick Gallinari; Salvatore Rinzivillo; Fosca Giannotti (CoRR, 2021)

Unsupervised domain adaptation with non-stochastic missing data. - Matthieu Kirchmeyer; Patrick Gallinari; Alain Rakotomamonjy; Amin Mantrach (Data Min. Knowl. Discov., 2021)

The Rare Word Issue in Natural Language Generation: A Character-Based Solution. - Giovanni Bonetta; Marco Roberti; Rossella Cancelliere; Patrick Gallinari (Informatics, 2021)

Exemplars and Counterexemplars Explanations for Skin Lesion Classifiers. - Carlo Metta; Riccardo Guidotti; Yuan Yin; Patrick Gallinari; Salvatore Rinzivillo (HHAI, 2022)

Constrained Physical-Statistics Models for Dynamical System Identification and Prediction. - Jérémie Donà; Marie Déchelle; Patrick Gallinari; Marina Levy (ICLR, 2022)

Mapping conditional distributions for domain adaptation under generalized target shift. - Matthieu Kirchmeyer; Alain Rakotomamonjy; Emmanuel de Bézenac; Patrick Gallinari (ICLR, 2022)

A Neural Tangent Kernel Perspective of GANs. - Jean-Yves Franceschi; Emmanuel de Bézenac; Ibrahim Ayed; Mickaël Chen; Sylvain Lamprier; Patrick Gallinari (ICML, 2022)

Generalizing to New Physical Systems via Context-Informed Dynamics Model. - Matthieu Kirchmeyer; Yuan Yin; Jérémie Donà; Nicolas Baskiotis; Alain Rakotomamonjy; Patrick Gallinari (ICML, 2022)

Deep Learning for Model Correction in Cardiac Electrophysiological Imaging. - Victoriya Kashtanova; Ibrahim Ayed; Andony Arrieula; Mark Potse; Patrick Gallinari; Maxime Sermesant (MIDL, 2022)

AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions. - Florent Bonnet; Jocelyn Ahmed Mazari; Paola Cinnella; Patrick Gallinari (NeurIPS, 2022)

Diverse Weight Averaging for Out-of-Distribution Generalization. - Alexandre Ramé; Matthieu Kirchmeyer; Thibaud Rahier; Alain Rakotomamonjy; Patrick Gallinari; Matthieu Cord (NeurIPS, 2022)

APHYN-EP: Physics-Based Deep Learning Framework to Learn and Forecast Cardiac Electrophysiology Dynamics. - Victoriya Kashtanova; Mihaela Pop; Ibrahim Ayed; Patrick Gallinari; Maxime Sermesant (STACOM@MICCAI, 2022)

Multi-Scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators. - Léon Migus; Yuan Yin; Jocelyn Ahmed Mazari; Patrick Gallinari (TAG-ML, 2022)

PTFlash : A deep learning framework for isothermal two-phase equilibrium calculations. - Jingang Qu; Thibault Faney; Jean-Charles de Hemptinne; Soleiman Yousef; Patrick Gallinari (CoRR, 2022)

An extensible Benchmarking Graph-Mesh dataset for studying Steady-State Incompressible Navier-Stokes Equations. - Florent Bonnet; Jocelyn Ahmed Mazari; Thibaut Munzer; Pierre Yser; Patrick Gallinari (CoRR, 2022)

Module-wise Training of Residual Networks via the Minimizing Movement Scheme. - Skander Karkar; Ibrahim Ayed; Emmanuel de Bézenac; Patrick Gallinari (CoRR, 2022)

HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization. - Jingang Qu; Thibault Faney; Ze Wang; Patrick Gallinari; Soleiman Yousef; Jean-Charles de Hemptinne (CoRR, 2022)

Controlling hallucinations at word level in data-to-text generation. - Clément Rebuffel; Marco Roberti; Laure Soulier; Geoffrey Scoutheeten; Rossella Cancelliere; Patrick Gallinari (Data Min. Knowl. Discov., 2022)

Modelling spatiotemporal dynamics from Earth observation data with neural differential equations. - Ibrahim Ayed; Emmanuel de Bézenac; Arthur Pajot; Patrick Gallinari (Mach. Learn., 2022)

Learning from Multiple Sources for Data-to-Text and Text-to-Data. - Song Duong; Alberto Lumbreras; Mike Gartrell; Patrick Gallinari (AISTATS, 2023)

Handling unstructured data for operator learning using implicit neural representations. - Thomas X. Wang; Patrick Gallinari (Tiny Papers @ ICLR, 2023)

Continuous PDE Dynamics Forecasting with Implicit Neural Representations. - Yuan Yin; Matthieu Kirchmeyer; Jean-Yves Franceschi; Alain Rakotomamonjy; Patrick Gallinari (ICLR, 2023)

Enhancing factualness and controllability of Data-to-Text Generation via data Views and constraints. - Craig Thomson; Clément Rebuffel; Ehud Reiter; Laure Soulier; Somayajulu Sripada; Patrick Gallinari (INLG, 2023)

Module-wise Training of Neural Networks via the Minimizing Movement Scheme. - Skander Karkar; Ibrahim Ayed; Emmanuel de Bézenac; Patrick Gallinari (NeurIPS, 2023)

Operator Learning with Neural Fields: Tackling PDEs on General Geometries. - Louis Serrano; Lise Le Boudec; Armand Kassaï Koupaï; Thomas X. Wang; Yuan Yin; Jean-Noël Vittaut; Patrick Gallinari (NeurIPS, 2023)

Adversarial Sample Detection Through Neural Network Transport Dynamics. - Skander Karkar; Patrick Gallinari; Alain Rakotomamonjy (ECML/PKDD (1), 2023)

Evaluating the Generalization Property of Prefix-based Methods for Data-to-text Generation. - Clarine Vongpaseut; Alberto Lumbreras; Mike Gartrell; Patrick Gallinari (CORIA-TALN (2), 2023)

Stability of implicit neural networks for long-term forecasting in dynamical systems. - Léon Migus; Julien Salomon; Patrick Gallinari (CoRR, 2023)

INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations. - Louis Serrano; Léon Migus; Yuan Yin; Jocelyn Ahmed Mazari; Patrick Gallinari (CoRR, 2023)

Neural Adversarial Attacks with Random Noises. - Hatem Hajri; Manon Césaire; Lucas Schott; Sylvain Lamprier; Patrick Gallinari (Int. J. Artif. Intell. Tools, 2023)

LOCOST: State-Space Models for Long Document Abstractive Summarization. - Florian Le Bronnec; Song Duong; Mathieu Ravaut; Alexandre Allauzen; Nancy F. Chen; Vincent Guigue; Alberto Lumbreras; Laure Soulier; Patrick Gallinari (EACL (1), 2024)

Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning. - Armand Kassaï Koupaï; Jorge Mifsut Benet; Yuan Yin; Jean-Noël Vittaut; Patrick Gallinari (NeurIPS, 2024)

AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields. - Louis Serrano; Thomas X. Wang; Etienne Le Naour; Jean-Noël Vittaut; Patrick Gallinari (NeurIPS, 2024)

LOCOST: Modèles Espace-État pour le Résumé Abstractif de Documents Longs. - Florian Le Bronnec; Song Duong; Alexandre Allauzen; Vincent Guigue; Alberto Lumbreras; Laure Soulier; Patrick Gallinari (TALN (2), 2024)

ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design). - Mouadh Yagoubi; Milad Leyli-Abadi; David Danan; Jean-Patrick Brunet; Jocelyn Ahmed Mazari; Florent Bonnet; Asma Farjallah; Marc Schoenauer; Patrick Gallinari (CoRR, 2024)

NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design. - Mouadh Yagoubi; David Danan; Milad Leyli-Abadi; Jean-Patrick Brunet; Jocelyn Ahmed Mazari; Florent Bonnet; Maroua Gmati; Asma Farjallah; Paola Cinnella; Patrick Gallinari; Marc Schoenauer (CoRR, 2024)

Zebra: In-Context and Generative Pretraining for Solving Parametric PDEs. - Louis Serrano; Armand Kassaï Koupaï; Thomas X. Wang; Pierre Erbacher; Patrick Gallinari (CoRR, 2024)

Probing Language Models on Their Knowledge Source. - Zineddine Tighidet; Andrea Mogini; Jiali Mei; Benjamin Piwowarski; Patrick Gallinari (CoRR, 2024)

Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methods. - Lise Le Boudec; Emmanuel de Bézenac; Louis Serrano; Ramon Daniel Regueiro-Espino; Yuan Yin; Patrick Gallinari (CoRR, 2024)

GEPS: Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning. - Armand Kassaï Koupaï; Jorge Mifsut Benet; Yuan Yin; Jean-Noël Vittaut; Patrick Gallinari (CoRR, 2024)

Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations. - Etienne Le Naour; Louis Serrano; Léon Migus; Yuan Yin; Ghislain Agoua; Nicolas Baskiotis; Patrick Gallinari; Vincent Guigue (Trans. Mach. Learn. Res., 2024)

MEXMA: Token-level objectives improve sentence representations. - João Maria Janeiro; Benjamin Piwowarski; Patrick Gallinari; Loïc Barrault (ACL (1), 2025)

Learning Cardiac Electrophysiology with Graph Neural Networks for Fast Data-Driven Personalised Predictions. - Maëlis Morier; Jesus Jairo Rodríguez Padilla; Patrick Gallinari; Maxime Sermesant (FIMH (1), 2025)

Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods. - Lise Le Boudec; Emmanuel de Bézenac; Louis Serrano; Ramon Daniel Regueiro-Espino; Yuan Yin; Patrick Gallinari (ICLR, 2025)

SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation. - Song Duong; Florian Le Bronnec; Alexandre Allauzen; Vincent Guigue; Alberto Lumbreras; Laure Soulier; Patrick Gallinari (ICLR, 2025)

UP-ROM : Uncertainty-Aware and Parametrised dynamic Reduced-Order Model, application to unsteady flows. - Ismaël Zighed; Nicolas Thome; Patrick Gallinari; Taraneh Sayadi (CoRR, 2025)

ENMA: Tokenwise Autoregression for Generative Neural PDE Operators. - Armand Kassaï Koupaï; Lise Le Boudec; Louis Serrano; Patrick Gallinari (CoRR, 2025)

NeurIPS 2025 E2LM Competition : Early Training Evaluation of Language Models. - Mouadh Yagoubi; Yasser Dahou; Billel Mokeddem; Younes Belkada; Phuc H. Le-Khac; Basma El Amel Boussaha; Réda Alami; Jingwei Zuo; Damiano Marsili; Mugariya Farooq; Mounia Lalmas; Georgia Gkioxari; et al. (CoRR, 2025)

Improving trust and confidence in medical skin lesion diagnosis through explainable deep learning. - Carlo Metta; Andrea Beretta; Riccardo Guidotti; Yuan Yin; Patrick Gallinari; Salvatore Rinzivillo; Fosca Giannotti (Int. J. Data Sci. Anal., 2025)