Patrick Gallinari

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 174

Top Venues

Publications

Florian Le Bronnec, Song Duong, Mathieu Ravaut, Alexandre Allauzen, Nancy F. Chen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari
LOCOST: State-Space Models for Long Document Abstractive Summarization. EACL (1) (2024)
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
NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design. CoRR (2024)
Louis Serrano, Thomas X. Wang, Etienne Le Naour, Jean-Noël Vittaut, Patrick Gallinari
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields. CoRR (2024)
Etienne Le Naour, Louis Serrano, Léon Migus, Yuan Yin, Ghislain Agoua, Nicolas Baskiotis, Patrick Gallinari, Vincent Guigue
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations. Trans. Mach. Learn. Res. 2024 (2024)
Mouadh Yagoubi, Milad Leyli-Abadi, David Danan, Jean-Patrick Brunet, Jocelyn Ahmed Mazari, Florent Bonnet, Asma Farjallah, Marc Schoenauer, Patrick Gallinari
ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design). CoRR (2024)
Florian Le Bronnec, Song Duong, Mathieu Ravaut, Alexandre Allauzen, Nancy F. Chen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari
LOCOST: State-Space Models for Long Document Abstractive Summarization. CoRR (2024)
Skander Karkar, Patrick Gallinari, Alain Rakotomamonjy
Adversarial Sample Detection Through Neural Network Transport Dynamics. ECML/PKDD (1) (2023)
Clarine Vongpaseut, Alberto Lumbreras, Mike Gartrell, Patrick Gallinari
Evaluating the Generalization Property of Prefix-based Methods for Data-to-text Generation. CORIA-TALN (2) (2023)
Song Duong, Alberto Lumbreras, Mike Gartrell, Patrick Gallinari
Learning from Multiple Sources for Data-to-Text and Text-to-Data. CoRR (2023)
Craig Thomson, Clément Rebuffel, Ehud Reiter, Laure Soulier, Somayajulu Sripada, Patrick Gallinari
Enhancing factualness and controllability of Data-to-Text Generation via data Views and constraints. INLG (2023)
Louis Serrano, Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari
INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations. CoRR (2023)
Thomas X. Wang, Patrick Gallinari
Handling unstructured data for operator learning using implicit neural representations. Tiny Papers @ ICLR (2023)
Hatem Hajri, Manon Césaire, Lucas Schott, Sylvain Lamprier, Patrick Gallinari
Neural Adversarial Attacks with Random Noises. Int. J. Artif. Intell. Tools 32 (5) (2023)
Song Duong, Alberto Lumbreras, Mike Gartrell, Patrick Gallinari
Learning from Multiple Sources for Data-to-Text and Text-to-Data. AISTATS (2023)
Louis Serrano, Lise Le Boudec, Armand Kassaï Koupaï, Thomas X. Wang, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari
Operator Learning with Neural Fields: Tackling PDEs on General Geometries. NeurIPS (2023)
Léon Migus, Julien Salomon, Patrick Gallinari
Stability of implicit neural networks for long-term forecasting in dynamical systems. CoRR (2023)
Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari
Module-wise Training of Neural Networks via the Minimizing Movement Scheme. NeurIPS (2023)
Etienne Le Naour, Louis Serrano, Léon Migus, Yuan Yin, Patrick Gallinari, Ghislain Agoua, Nicolas Baskiotis, Vincent Guigue
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations. CoRR (2023)
Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo
Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling. CoRR (2023)
Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari
Module-wise Training of Neural Networks via the Minimizing Movement Scheme. CoRR (2023)
Skander Karkar, Patrick Gallinari, Alain Rakotomamonjy
Adversarial Sample Detection Through Neural Network Transport Dynamics. CoRR (2023)
Louis Serrano, Lise Le Boudec, Armand Kassaï Koupaï, Thomas X. Wang, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari
Operator Learning with Neural Fields: Tackling PDEs on General Geometries. CoRR (2023)
Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari
Continuous PDE Dynamics Forecasting with Implicit Neural Representations. ICLR (2023)
Clément Rebuffel, Marco Roberti, Laure Soulier, Geoffrey Scoutheeten, Rossella Cancelliere, Patrick Gallinari
Controlling hallucinations at word level in data-to-text generation. Data Min. Knowl. Discov. 36 (1) (2022)
Jérémie Donà, Marie Déchelle, Patrick Gallinari, Marina Levy
Constrained Physical-Statistics Models for Dynamical System Identification and Prediction. ICLR (2022)
Victoriya Kashtanova, Ibrahim Ayed, Andony Arrieula, Mark Potse, Patrick Gallinari, Maxime Sermesant
Deep Learning for Model Correction in Cardiac Electrophysiological Imaging. MIDL (2022)
Matthieu Kirchmeyer, Alain Rakotomamonjy, Emmanuel de Bézenac, Patrick Gallinari
Mapping conditional distributions for domain adaptation under generalized target shift. ICLR (2022)
Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari
Multi-Scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators. TAG-ML (2022)
Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord
Diverse Weight Averaging for Out-of-Distribution Generalization. NeurIPS (2022)
Matthieu Kirchmeyer, Yuan Yin, Jérémie Donà, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari
Generalizing to New Physical Systems via Context-Informed Dynamics Model. CoRR (2022)
Florent Bonnet, Jocelyn Ahmed Mazari, Thibaut Munzer, Pierre Yser, Patrick Gallinari
An extensible Benchmarking Graph-Mesh dataset for studying Steady-State Incompressible Navier-Stokes Equations. CoRR (2022)
Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord
Diverse Weight Averaging for Out-of-Distribution Generalization. CoRR (2022)
Florent Bonnet, Jocelyn Ahmed Mazari, Paola Cinnella, Patrick Gallinari
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions. NeurIPS (2022)
Jingang Qu, Thibault Faney, Jean-Charles de Hemptinne, Soleiman Yousef, Patrick Gallinari
PTFlash : A deep learning framework for isothermal two-phase equilibrium calculations. CoRR (2022)
Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari
Continuous PDE Dynamics Forecasting with Implicit Neural Representations. CoRR (2022)
Florent Bonnet, Jocelyn Ahmed Mazari, Paola Cinnella, Patrick Gallinari
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions. CoRR (2022)
Jean-Yves Franceschi, Emmanuel de Bézenac, Ibrahim Ayed, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari
A Neural Tangent Kernel Perspective of GANs. ICML (2022)
Victoriya Kashtanova, Mihaela Pop, Ibrahim Ayed, Patrick Gallinari, Maxime Sermesant
APHYN-EP: Physics-Based Deep Learning Framework to Learn and Forecast Cardiac Electrophysiology Dynamics. STACOM@MICCAI (2022)
Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo
Exemplars and Counterexemplars Explanations for Skin Lesion Classifiers. HHAI (2022)
Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot, Patrick Gallinari
Modelling spatiotemporal dynamics from Earth observation data with neural differential equations. Mach. Learn. 111 (6) (2022)
Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari
Module-wise Training of Residual Networks via the Minimizing Movement Scheme. CoRR (2022)
Matthieu Kirchmeyer, Yuan Yin, Jérémie Donà, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari
Generalizing to New Physical Systems via Context-Informed Dynamics Model. ICML (2022)
Jingang Qu, Thibault Faney, Ze Wang, Patrick Gallinari, Soleiman Yousef, Jean-Charles de Hemptinne
HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization. CoRR (2022)
Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari
Multi-scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators. CoRR (2022)
Jérémie Donà, Patrick Gallinari
Differentiable Feature Selection, A Reparameterization Approach. ECML/PKDD (3) (2021)
Clément Rebuffel, Thomas Scialom, Laure Soulier, Benjamin Piwowarski, Sylvain Lamprier, Jacopo Staiano, Geoffrey Scoutheeten, Patrick Gallinari
Data-QuestEval: A Referenceless Metric for Data to Text Semantic Evaluation. CoRR (2021)
Clément Rebuffel, Marco Roberti, Laure Soulier, Geoffrey Scoutheeten, Rossella Cancelliere, Patrick Gallinari
Controlling Hallucinations at Word Level in Data-to-Text Generation. CoRR (2021)
Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari
Learning Dynamical Systems across Environments. AAAI Spring Symposium: MLPS (2021)
Jean-Yves Franceschi, Emmanuel de Bézenac, Ibrahim Ayed, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari
A Neural Tangent Kernel Perspective of GANs. CoRR (2021)
Yuan Yin, Vincent Le Guen, Jérémie Donà, Emmanuel de Bézenac, Ibrahim Ayed, Nicolas Thome, Patrick Gallinari
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. ICLR (2021)
Matthieu Kirchmeyer, Patrick Gallinari, Alain Rakotomamonjy, Amin Mantrach
Unsupervised domain adaptation with non-stochastic missing data. CoRR (2021)
Jérémie Donà, Jean-Yves Franceschi, Sylvain Lamprier, Patrick Gallinari
PDE-Driven Spatiotemporal Disentanglement. ICLR (2021)
Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Baskiotis, Patrick Gallinari
LEADS: Learning Dynamical Systems that Generalize Across Environments. CoRR (2021)
Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari
Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction. CoRR (2021)
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano, Alex Wang, Patrick Gallinari
QuestEval: Summarization Asks for Fact-based Evaluation. EMNLP (1) (2021)
Thomas Scialom, Paul-Alexis Dray, Patrick Gallinari, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano, Alex Wang
SAFEval: Summarization Asks for Fact-based Evaluation. CoRR (2021)
Carlo Metta, Andrea Beretta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo, Fosca Giannotti
Explainable Deep Image Classifiers for Skin Lesion Diagnosis. CoRR (2021)
Manon Césaire, Lucas Schott, Hatem Hajri, Sylvain Lamprier, Patrick Gallinari
Stochastic sparse adversarial attacks. ICTAI (2021)
Matthieu Kirchmeyer, Patrick Gallinari, Alain Rakotomamonjy, Amin Mantrach
Unsupervised domain adaptation with non-stochastic missing data. Data Min. Knowl. Discov. 35 (6) (2021)
Matthieu Kirchmeyer, Alain Rakotomamonjy, Emmanuel de Bézenac, Patrick Gallinari
Mapping conditional distributions for domain adaptation under generalized target shift. CoRR (2021)
Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Baskiotis, Patrick Gallinari
LEADS: Learning Dynamical Systems that Generalize Across Environments. NeurIPS (2021)
Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari
Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction. EMNLP (1) (2021)
Emmanuel de Bézenac, Ibrahim Ayed, Patrick Gallinari
CycleGAN Through the Lens of (Dynamical) Optimal Transport. ECML/PKDD (2) (2021)
Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo
Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling. ISCC (2021)
Clément Rebuffel, Thomas Scialom, Laure Soulier, Benjamin Piwowarski, Sylvain Lamprier, Jacopo Staiano, Geoffrey Scoutheeten, Patrick Gallinari
Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation. EMNLP (1) (2021)
Giovanni Bonetta, Marco Roberti, Rossella Cancelliere, Patrick Gallinari
The Rare Word Issue in Natural Language Generation: A Character-Based Solution. Informatics 8 (1) (2021)
Jérémie Donà, Patrick Gallinari
Differentiable Feature Selection, a Reparameterization Approach. CoRR (2021)
Victoriya Kashtanova, Ibrahim Ayed, Nicolas Cedilnik, Patrick Gallinari, Maxime Sermesant
EP-Net 2.0: Out-of-Domain Generalisation for Deep Learning Models of Cardiac Electrophysiology. FIMH (2021)
Evangelos Moschos, Alexandre Stegner, Olivier Schwander, Patrick Gallinari
Classification of Eddy Sea Surface Temperature Signatures Under Cloud Coverage. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Jérémie Donà, Jean-Yves Franceschi, Sylvain Lamprier, Patrick Gallinari
PDE-Driven Spatiotemporal Disentanglement. CoRR (2020)
Thi Phuong Thao Tran, Ahlame Douzal Chouakria, Saeed Varasteh Yazdi, Paul Honeine, Patrick Gallinari
Interpretable time series kernel analytics by pre-image estimation. Artif. Intell. 286 (2020)
Emmanuel de Bézenac, Syama Sundar Rangapuram, Konstantinos Benidis, Michael Bohlke-Schneider, Richard Kurle, Lorenzo Stella, Hilaf Hasson, Patrick Gallinari, Tim Januschowski
Normalizing Kalman Filters for Multivariate Time Series Analysis. NeurIPS (2020)
Vincent Le Guen, Yuan Yin, Jérémie Donà, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Thome, Patrick Gallinari
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. CoRR (2020)
Hatem Hajri, Manon Césaire, Théo Combey, Sylvain Lamprier, Patrick Gallinari
Stochastic sparse adversarial attacks. CoRR (2020)
Jean-Yves Franceschi, Edouard Delasalles, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari
Stochastic Latent Residual Video Prediction. ICML (2020)
Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari
A Principle of Least Action for the Training of Neural Networks. CoRR (2020)
Clara Gainon de Forsan de Gabriac, Constance Scherer, Amina Djelloul, Vincent Guigue, Patrick Gallinari
Resume: A Robust Framework for Professional Profile Learning & Evaluation. ESANN (2020)
Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari
Let's Stop Incorrect Comparisons in End-to-end Relation Extraction! EMNLP (1) (2020)
Bruno Taillé, Vincent Guigue, Patrick Gallinari
Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization. ECIR (2) (2020)
Thomas Scialom, Patrick Bordes, Paul-Alexis Dray, Jacopo Staiano, Patrick Gallinari
BERT Can See Out of the Box: On the Cross-modal Transferability of Text Representations. CoRR (2020)
Thomas Scialom, Patrick Bordes, Paul-Alexis Dray, Jacopo Staiano, Patrick Gallinari
What BERT Sees: Cross-Modal Transfer for Visual Question Generation. INLG (2020)
Charles Monzani, Martial Hue, Patrick Gallinari
Transfert entre campagnes de Real-Time Bidding. EGC (2020)
Bruno Taillé, Vincent Guigue, Patrick Gallinari
Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization. CoRR (2020)
Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot, Patrick Gallinari
Learning the Spatio-Temporal Dynamics of Physical Processes from Partial Observations. ICASSP (2020)
Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari
A Principle of Least Action for the Training of Neural Networks. ECML/PKDD (2) (2020)
Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari
Capturing Entity Hierarchy in Data-to-Text Generative Models. CIRCLE (2020)
Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari
Let's Stop Incorrect Comparisons in End-to-end Relation Extraction! CoRR (2020)
Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari
Incorporating Visual Semantics into Sentence Representations within a Grounded Space. CoRR (2020)
Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari
PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation. INLG (2020)
Evangelos Moschos, Olivier Schwander, Alexandre Stegner, Patrick Gallinari
Deep-SST-Eddies: A Deep Learning Framework to Detect Oceanic Eddies in Sea Surface Temperature Images. ICASSP (2020)
Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari
A Hierarchical Model for Data-to-Text Generation. ECIR (1) (2020)
Patrick Bordes, Eloi Zablocki, Benjamin Piwowarski, Patrick Gallinari
Transductive Zero-Shot Learning using Cross-Modal CycleGAN. CoRR (2020)
Jean-Yves Franceschi, Edouard Delasalles, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari
Stochastic Latent Residual Video Prediction. CoRR (2020)
Clara Gainon de Forsan de Gabriac, Amina Djelloul, Constance Scherer, Vincent Guigue, Patrick Gallinari
Resume: A Robust Framework for Professional Profile Learning & Evaluation. CIRCLE (2020)
Yu Zhao, Anxiang Zhang, Huali Feng, Qing Li, Patrick Gallinari, Fuji Ren
Knowledge graph entity typing via learning connecting embeddings. Knowl. Based Syst. 196 (2020)
Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari
PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation. CoRR (2020)
Emmanuel de Bézenac, Ibrahim Ayed, Patrick Gallinari
Optimal Unsupervised Domain Translation. CoRR (2019)
Marco Botta, Rossella Cancelliere, Leo Ghignone, Fabio Tango, Patrick Gallinari, Clara Luison
Real-time detection of driver distraction: random projections for pseudo-inversion-based neural training. Knowl. Inf. Syst. 60 (3) (2019)
Marco Roberti, Giovanni Bonetta, Rossella Cancelliere, Patrick Gallinari
Copy mechanism and tailored training for character-based data-to-text generation. CoRR (2019)
Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari
Un modèle multimodal d'apprentissage de représentations de phrases qui préserve la sémantique visuelle. CORIA (2019)

Patrick Gallinari.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Patrick Gallinari