| 2025 | ACL | MEXMA: Token-level objectives improve sentence representations. | Joo Maria Janeiro, Benjamin Piwowarski, Patrick Gallinari, Loc Barrault |
| 2025 | EMNLP | Mixture of Languages: Improved Multilingual Encoders Through Language Grouping. | Joo Maria Janeiro, Belen Alastruey, Francisco Massa, Maha Elbayad, Benjamin Piwowarski, Patrick Gallinari, Loc Barrault |
| 2025 | EMNLP | Context Copying Modulation: The Role of Entropy Neurons in Managing Parametric and Contextual Knowledge Conflicts. | Zineddine Tighidet, Andrea Mogini, Hdi Ben-Younes, Jiali Mei, Patrick Gallinari, Benjamin Piwowarski |
| 2025 | ICLR | Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods. | Lise Le Boudec, Emmanuel de Bzenac, Louis Serrano, Ramon Daniel Regueiro-Espino, Yuan Yin, Patrick Gallinari |
| 2025 | ICLR | 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 |
| 2025 | ICML | Zebra: In-Context Generative Pretraining for Solving Parametric PDEs. | Louis Serrano, Armand Kassa Koupa, Thomas X. Wang, Pierre Erbacher, Patrick Gallinari |
| 2024 | EACL | 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 |
| 2023 | AISTATS | Learning from Multiple Sources for Data-to-Text and Text-to-Data. | Song Duong, Alberto Lumbreras, Mike Gartrell, Patrick Gallinari |
| 2023 | ICLR | Handling unstructured data for operator learning using implicit neural representations. | Thomas X. Wang, Patrick Gallinari |
| 2023 | ICLR | Continuous PDE Dynamics Forecasting with Implicit Neural Representations. | Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari |
| 2023 | INLG | Enhancing factualness and controllability of Data-to-Text Generation via data Views and constraints. | Craig Thomson, Clment Rebuffel, Ehud Reiter, Laure Soulier, Somayajulu Sripada, Patrick Gallinari |
| 2022 | ICLR | Constrained Physical-Statistics Models for Dynamical System Identification and Prediction. | Jrmie Don, Marie Dchelle, Patrick Gallinari, Marina Levy |
| 2022 | ICLR | Mapping conditional distributions for domain adaptation under generalized target shift. | Matthieu Kirchmeyer, Alain Rakotomamonjy, Emmanuel de Bzenac, Patrick Gallinari |
| 2022 | ICML | A Neural Tangent Kernel Perspective of GANs. | Jean-Yves Franceschi, Emmanuel de Bzenac, Ibrahim Ayed, Mickal Chen, Sylvain Lamprier, Patrick Gallinari |
| 2022 | ICML | Generalizing to New Physical Systems via Context-Informed Dynamics Model. | Matthieu Kirchmeyer, Yuan Yin, Jrmie Don, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari |
| 2021 | EMNLP | Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation. | Clment Rebuffel, Thomas Scialom, Laure Soulier, Benjamin Piwowarski, Sylvain Lamprier, Jacopo Staiano, Geoffrey Scoutheeten, Patrick Gallinari |
| 2021 | EMNLP | QuestEval: Summarization Asks for Fact-based Evaluation. | Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano, Alex Wang, Patrick Gallinari |
| 2021 | EMNLP | Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction. | Bruno Taill, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari |
| 2021 | ICLR | PDE-Driven Spatiotemporal Disentanglement. | Jrmie Don, Jean-Yves Franceschi, Sylvain Lamprier, Patrick Gallinari |
| 2021 | ICLR | Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. | Yuan Yin, Vincent Le Guen, Jrmie Don, Emmanuel de Bzenac, Ibrahim Ayed, Nicolas Thome, Patrick Gallinari |
| 2021 | ICTAI | Stochastic sparse adversarial attacks. | Manon Csaire, Lucas Schott, Hatem Hajri, Sylvain Lamprier, Patrick Gallinari |
| 2021 | ISCC | Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling. | Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo |
| 2020 | ECIR | A Hierarchical Model for Data-to-Text Generation. | Clment Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari |
| 2020 | ECIR | Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization. | Bruno Taill, Vincent Guigue, Patrick Gallinari |
| 2020 | EMNLP | Let's Stop Incorrect Comparisons in End-to-end Relation Extraction! | Bruno Taill, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari |
| 2020 | ESANN | Resume: A Robust Framework for Professional Profile Learning & Evaluation. | Clara Gainon de Forsan de Gabriac, Constance Scherer, Amina Djelloul, Vincent Guigue, Patrick Gallinari |
| 2020 | ICASSP | Learning the Spatio-Temporal Dynamics of Physical Processes from Partial Observations. | Ibrahim Ayed, Emmanuel de Bzenac, Arthur Pajot, Patrick Gallinari |
| 2020 | ICASSP | Deep-SST-Eddies: A Deep Learning Framework to Detect Oceanic Eddies in Sea Surface Temperature Images. | Evangelos Moschos, Olivier Schwander, Alexandre Stegner, Patrick Gallinari |
| 2020 | ICML | Stochastic Latent Residual Video Prediction. | Jean-Yves Franceschi, Edouard Delasalles, Mickal Chen, Sylvain Lamprier, Patrick Gallinari |
| 2020 | INLG | PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation. | Clment Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari |
| 2020 | INLG | What BERT Sees: Cross-Modal Transfer for Visual Question Generation. | Thomas Scialom, Patrick Bordes, Paul-Alexis Dray, Jacopo Staiano, Patrick Gallinari |
| 2019 | EMNLP | Incorporating Visual Semantics into Sentence Representations within a Grounded Space. | Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari |
| 2019 | ICLR | Unsupervised Adversarial Image Reconstruction. | Arthur Pajot, Emmanuel de Bzenac, Patrick Gallinari |
| 2019 | ICML | Context-Aware Zero-Shot Learning for Object Recognition. | Eloi Zablocki, Patrick Bordes, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari |
| 2018 | AAAI | Learning Multi-Modal Word Representation Grounded in Visual Context. | Eloi Zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari |
| 2018 | ESANN | Regularize and explicit collaborative filtering with textual attention. | Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari |
| 2018 | ICLR | Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge. | Emmanuel de Bzenac, Arthur Pajot, Patrick Gallinari |
| 2017 | ESANN | Anomaly detection and characterization in smart card logs using NMF and Tweets. | Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari |
| 2017 | ICDM | Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery. | Ali Ziat, Edouard Delasalles, Ludovic Denoyer, Patrick Gallinari |
| 2017 | SIGIR | Gaussian Embeddings for Collaborative Filtering. | Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari |
| 2016 | ICWSM | Dynamic Data Capture from Social Media Streams: A Contextual Bandit Approach. | Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari |
| 2016 | WSDM | Representation Learning for Information Diffusion through Social Networks: an Embedded Cascade Model. | Simon Bourigault, Sylvain Lamprier, Patrick Gallinari |
| 2015 | ICTAI | Policies for Contextual Bandit Problems with Count Payoffs. | Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari |
| 2015 | ICWSM | WhichStreams: A Dynamic Approach for Focused Data Capture from Large Social Media. | Thibault Gisselbrecht, Ludovic Denoyer, Patrick Gallinari, Sylvain Lamprier |
| 2015 | RecSys | Latent Trajectory Modeling: A Light and Efficient Way to Introduce Time in Recommender Systems. | lie Gurdia-Sebaoun, Vincent Guigue, Patrick Gallinari |
| 2015 | RecSys | Extended Recommendation Framework: Generating the Text of a User Review as a Personalized Summary. | Mickal Poussevin, Vincent Guigue, Patrick Gallinari |
| 2014 | AIMSA | Computational Experience with Pseudoinversion-Based Training of Neural Networks Using Random Projection Matrices. | Luca Rubini, Rossella Cancelliere, Patrick Gallinari, Andrea Grosso, Antonino Raiti |
| 2014 | AINA | Graph Anonymization Using Machine Learning. | Maria Laura Maag, Ludovic Denoyer, Patrick Gallinari |
| 2014 | WSDM | Learning social network embeddings for predicting information diffusion. | Simon Bourigault, Cdric Lagnier, Sylvain Lamprier, Ludovic Denoyer, Patrick Gallinari |
| 2014 | WSDM | Learning latent representations of nodes for classifying in heterogeneous social networks. | Yann Jacob, Ludovic Denoyer, Patrick Gallinari |
| 2014 | WSDM | Web-scale classification: web classification in the big data era. | Ioannis Partalas, Massih-Reza Amini, Ion Androutsopoulos, Thierry Artires, Patrick Gallinari, ric Gaussier, Georgios Paliouras |
| 2014 | SEFM | A Latent Representation Model for Sentiment Analysis in Heterogeneous Social Networks. | Debora Nozza, Daniele Maccagnola, Vincent Guigue, Enza Messina, Patrick Gallinari |
| 2013 | ECIR | Latent Factor BlockModel for Modelling Relational Data. | Sheng Gao, Ludovic Denoyer, Patrick Gallinari, Jun Guo |
| 2013 | ECIR | Predicting Information Diffusion in Social Networks Using Content and User's Profiles. | Cdric Lagnier, Ludovic Denoyer, ric Gaussier, Patrick Gallinari |
| 2012 | ICONIP | Matrix Pseudoinversion for Image Neural Processing. | Rossella Cancelliere, Mario Gai, Thierry Artires, Patrick Gallinari |
| 2012 | ICWSM | Coping with the Document Frequency Bias in Sentiment Classification. | Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari |
| 2012 | RecSys | Ranking with non-random missing ratings: influence of popularity and positivity on evaluation metrics. | Bruno Pradel, Nicolas Usunier, Patrick Gallinari |
| 2012 | WWW | Link prediction via latent factor BlockModel. | Sheng Gao, Ludovic Denoyer, Patrick Gallinari |
| 2012 | WWW | Predicting information diffusion on social networks with partial knowledge. | Anis Najar, Ludovic Denoyer, Patrick Gallinari |
| 2011 | AIME | Extracting Information from Summary of Product Characteristics for Improving Drugs Prescription Safety. | Stefania Rubrichi, Silvana Quaglini, Alex Spengler, Patrick Gallinari |
| 2011 | CIDM | Link Pattern Prediction with tensor decomposition in multi-relational networks. | Sheng Gao, Ludovic Denoyer, Patrick Gallinari |
| 2011 | CIKM | Temporal link prediction by integrating content and structure information. | Sheng Gao, Ludovic Denoyer, Patrick Gallinari |
| 2011 | CIKM | Classification and annotation in social corpora using multiple relations. | Yann Jacob, Ludovic Denoyer, Patrick Gallinari |
| 2011 | ECIR | The Importance of the Depth for Text-Image Selection Strategy in Learning-To-Rank. | David Buffoni, Sabrina Tollari, Patrick Gallinari |
| 2011 | ECIR | Text Classification: A Sequential Reading Approach. | Gabriel Dulac-Arnold, Ludovic Denoyer, Patrick Gallinari |
| 2011 | ICML | Learning Scoring Functions with Order-Preserving Losses and Standardized Supervision. | David Buffoni, Clment Calauznes, Patrick Gallinari, Nicolas Usunier |
| 2010 | DocEng | Document structure meets page layout: loopy random fields for web news content extraction. | Alex Spengler, Patrick Gallinari |
| 2010 | ICWSM | A Ranking Based Model for Automatic Image Annotation in a Social Network. | Ludovic Denoyer, Patrick Gallinari |
| 2010 | SIGIR | Multi-view clustering of multilingual documents. | Young-Min Kim, Massih-Reza Amini, Cyril Goutte, Patrick Gallinari |
| 2009 | AINA | Learning to Extract Content from News Webpages. | Alex Spengler, Patrick Gallinari |
| 2009 | ECIR | Exploiting Visual Concepts to Improve Text-Based Image Retrieval. | Sabrina Tollari, Marcin Detyniecki, Christophe Marsala, Ali Fakeri-Tabrizi, Massih-Reza Amini, Patrick Gallinari |
| 2009 | ESANN | A self-training method for learning to rank with unlabeled data. | Tuong-Vinh Truong, Massih-Reza Amini, Patrick Gallinari |
| 2009 | ICML | Ranking with ordered weighted pairwise classification. | Nicolas Usunier, David Buffoni, Patrick Gallinari |
| 2008 | CIKM | An extension of PLSA for document clustering. | Young-Min Kim, Jean-Franois Pessiot, Massih-Reza Amini, Patrick Gallinari |
| 2008 | ECAI | Efficient Data Clustering by Local Density Approximation. | Marc-Ismal Akodjnou-Jeannin, Patrick Gallinari |
| 2008 | ICDM | Experimental Evaluation of the Value of Structure: How to Efficiently Exploit Interdependencies in Sequence Labeling. | Guillaume Wisniewski, Patrick Gallinari |
| 2007 | ICML | Solving multiclass support vector machines with LaRank. | Antoine Bordes, Lon Bottou, Patrick Gallinari, Jason Weston |
| 2006 | ECIR | Machine Learning Ranking for Structured Information Retrieval. | Jean-Nol Vittaut, Patrick Gallinari |
| 2006 | NAACL | A Machine Learning based Approach to Evaluating Retrieval Systems. | Huyen-Trang Vu, Patrick Gallinari |
| 2005 | CIKM | Learning to summarise XML documents using content and structure. | Massih-Reza Amini, Anastasios Tombros, Nicolas Usunier, Mounia Lalmas, Patrick Gallinari |
| 2005 | CIKM | Using RankBoost to compare retrieval systems. | Huyen-Trang Vu, Patrick Gallinari |
| 2005 | ECIR | Automatic Text Summarization Based on Word-Clusters and Ranking Algorithms. | Massih-Reza Amini, Nicolas Usunier, Patrick Gallinari |
| 2005 | IJCAI | Automatic learning of domain model for personalized hypermedia applications. | Hermine Njike Fotzo, Thierry Artires, Patrick Gallinari, Julien Blanchard, Guillaume Letellier |
| 2004 | ECAI | A Model-Based Approach to Sequence Clustering. | Henri Binsztok, Thierry Artires, Patrick Gallinari |
| 2004 | ICFHR | A generic approach for on-line handwriting recognition. | Sanparith Marukatat, Thierry Artires, Patrick Gallinari |
| 2003 | DocEng | Structured multimedia document classification. | Ludovic Denoyer, Jean-Nol Vittaut, Patrick Gallinari, Sylvie Brunessaux, Stephan Brunessaux |
| 2003 | ICANN | Classification and Tracking of Hypermedia Navigation Patterns. | Patrick Gallinari, Sylvain Bidel, Laurent Lemoine, Frdric Piat, Thierry Artires |
| 2003 | ICDAR | A Flexible Recognition Engine for Complex On-line Handwritten Character Recognition. | Sanparith Marukatat, Rudy Sicard, Thierry Artires, Patrick Gallinari |
| 2003 | IJCAI | Semi-Supervised Learning with Explicit Misclassification Modeling. | Massih-Reza Amini, Patrick Gallinari |
| 2002 | ECAI | Semi Supervised Logistic Regression. | Massih-Reza Amini, Patrick Gallinari |
| 2002 | ICFHR | Stroke level HMMs for on-line handwriting recognition. | Thierry Artires, Patrick Gallinari |
| 2002 | ICFHR | Rejection measures for handwriting sentence recognition. | Sanparith Marukatat, Thierry Artires, Patrick Gallinari, Bernadette Dorizzi |
| 2002 | ICMI | Data Driven Design of an ANN/HMM System for On-line Unconstrained Handwritten Character Recognition. | Haifeng Li, Thierry Artires, Patrick Gallinari |
| 2002 | ICMI | State Sharing in a Hybrid Neuro-Markovian On-Line Handwriting Recognition System through a Simple Hierarchical Clustering Algorithm. | Haifeng Li, Thierry Artires, Patrick Gallinari |
| 2002 | SIGIR | The use of unlabeled data to improve supervised learning for text summarization. | Massih-Reza Amini, Patrick Gallinari |
| 2001 | ICANN | Learning for Text Summarization Using Labeled and Unlabeled Sentences. | Massih-Reza Amini, Patrick Gallinari |
| 2001 | ICDAR | An Hybrid MLP-SVM Handwritten Digit Recognizer. | Abdel Bellili, Michel Gilloux, Patrick Gallinari |
| 2001 | ICDAR | Strategies for Combining On-line and Off-line Information in an On-line Handwriting Recognition System. | Nadji Gauthier, Thierry Artires, Patrick Gallinari, Bernadette Dorizzi |
| 2001 | ICDAR | Sentence Recognition through Hybrid Neuro-Markovian Modeling. | Sanparith Marukatat, Thierry Artires, Patrick Gallinari, Bernadette Dorizzi |
| 2000 | ICPR | Multi-Modal Segmental Models for On-Line Handwriting Recognition. | Thierry Artires, J.-M. Marchand, Patrick Gallinari, Bernadette Dorizzi |
| 1999 | ECIR | Sequence Models for Automatic Highlighting and Surface Information Extraction. | Massih-Reza Amini, Hugo Zaragoza, Patrick Gallinari |
| 1999 | ICDAR | Dictionary Preselection in a Neuro-Markovian Word Recognition System. | Zsolt Wimmer, Bernadette Dorizzi, Patrick Gallinari |
| 1998 | ECIR | Coupled Hierarchical IR and Stochastic Models for Surface Information Extraction. | Hugo Zaragoza, Patrick Gallinari |
| 1997 | ICANN | Optimal Linear Regression on Classifier Outputs. | Yann Guermeur, Florence d'Alch-Buc, Patrick Gallinari |
| 1997 | ICANN | Multiple Multivariate Regression and Global Optimization in a Large Scale Thermodynamical Application. | Hugo Zaragoza, Patrick Gallinari |
| 1996 | ICANN | Combining Statistical Models for Protein Secondary Structure Prediction. | Yann Guermeur, Patrick Gallinari |
| 1996 | ICANN | Diagnosis Tools for Telecommunication Network Traffic Management. | Philippe Leray, Patrick Gallinari, Elisabeth Didelet |
| 1996 | ICASSP | From characters to words: dynamical segmentation and predictive neural networks. | Sonia Garcia-Salicetti, Patrick Gallinari, Bernadette Dorizzi, Zsolt Wimmer, Stphane Gentric |
| 1996 | ICPR | Adaptive discrimination in an HMM-based neural predictive system for on-line word recognition. | Sonia Garcia-Salicetti, Bernadette Dorizzi, Patrick Gallinari, Zsolt Wimmer |
| 1995 | ICASSP | A neural predictive approach for on-line cursive script recognition. | Sonia Garcia-Salicetti, Patrick Gallinari, Bernadette Dorizzi, Abdelhamid Mellouk, D. Fanchon |
| 1995 | ICASSP | Global discrimination for neural predictive systems based on N-best algorithm. | Abdelhamid Mellouk, Patrick Gallinari |
| 1995 | ICDAR | 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 |
| 1995 | Interspeech | Multi-state predictive neural networks for text-independent speaker recognition. | Thierry Artires, Patrick Gallinari |
| 1995 | Interspeech | Integrating heuristic preferences into a neural understanding system. | Adelaide Stevenur, Patrick Gallinari |
| 1994 | ICASSP | Discriminative training for improved neural prediction systems. | Abdelhamid Mellouk, Patrick Gallinari |
| 1993 | ICASSP | A discriminative neural prediction system for speech recognition. | Abdelhamid Mellouk, Patrick Gallinari |
| 1993 | Interspeech | Neural models for extracting speaker characteristics in speech modelization systems. | Thierry Artires, Patrick Gallinari |
| 1993 | Interspeech | Prediction and discrimination in neural networks for continuous speech recognition. | Abdelhamid Mellouk, Patrick Gallinari, F. Rauscher |
| 1992 | ICASSP | A speech recognizer optimally combining learning vector quantization, dynamic programming and multi-layer perceptron. | Xavier Driancourt, Patrick Gallinari |
| 1991 | ICASSP | Validation of neural net architectures on speech recognition tasks. | Youns Bennani, Nasser Chaourar, Patrick Gallinari, Abdelhamid Mellouk |
| 1991 | ICASSP | On the use of TDNN-extracted features information in talker identification. | Youns Bennani, Patrick Gallinari |
| 1990 | ICASSP | A connectionist approach for automatic speaker identification. | Youns Bennani, Franoise Fogelman-Souli, Patrick Gallinari |
| 1990 | IJCNN | Cooperation of neural nets for robust classification. | Michel de Bollivier, Patrick Gallinari, Sylvie Thiria |