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- affiliation: LIP6, Paris
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2020 – today
- 2023
[j73]Hatem Hajri, Manon Césaire, Lucas Schott, Sylvain Lamprier, Patrick Gallinari:
Neural Adversarial Attacks with Random Noises. Int. J. Artif. Intell. Tools 32(5): 2360010:1-2360010:22 (2023)- [c264]Song Duong, Alberto Lumbreras, Mike Gartrell, Patrick Gallinari:
Learning from Multiple Sources for Data-to-Text and Text-to-Data. AISTATS 2023: 3733-3753 - [c263]Thomas X. Wang, Patrick Gallinari:
Handling unstructured data for operator learning using implicit neural representations. Tiny Papers @ ICLR 2023 - [c262]Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari:
Continuous PDE Dynamics Forecasting with Implicit Neural Representations. ICLR 2023 - [c261]Skander Karkar, Patrick Gallinari, Alain Rakotomamonjy:
Adversarial Sample Detection Through Neural Network Transport Dynamics. ECML/PKDD (1) 2023: 164-181 - [i58]Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo:
Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling. CoRR abs/2302.03033 (2023) - [i57]Song Duong, Alberto Lumbreras, Mike Gartrell, Patrick Gallinari:
Learning from Multiple Sources for Data-to-Text and Text-to-Data. CoRR abs/2302.11269 (2023) - [i56]Léon Migus, Julien Salomon, Patrick Gallinari:
Stability of implicit neural networks for long-term forecasting in dynamical systems. CoRR abs/2305.17155 (2023) - [i55]Skander Karkar, Patrick Gallinari, Alain Rakotomamonjy:
Adversarial Sample Detection Through Neural Network Transport Dynamics. CoRR abs/2306.04252 (2023) - [i54]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. CoRR abs/2306.05880 (2023) - [i53]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 abs/2306.07266 (2023) - [i52]Louis Serrano, Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari:
INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations. CoRR abs/2307.13538 (2023) - 2022
- [j72]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): 318-354 (2022) - [j71]Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot, Patrick Gallinari:
Modelling spatiotemporal dynamics from Earth observation data with neural differential equations. Mach. Learn. 111(6): 2349-2380 (2022) - [c260]Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo:
Exemplars and Counterexemplars Explanations for Skin Lesion Classifiers. HHAI 2022: 258-260 - [c259]Jérémie Donà, Marie Déchelle, Patrick Gallinari, Marina Levy:
Constrained Physical-Statistics Models for Dynamical System Identification and Prediction. ICLR 2022 - [c258]Matthieu Kirchmeyer, Alain Rakotomamonjy, Emmanuel de Bézenac, Patrick Gallinari:
Mapping conditional distributions for domain adaptation under generalized target shift. ICLR 2022 - [c257]Jean-Yves Franceschi, Emmanuel de Bézenac, Ibrahim Ayed, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari:
A Neural Tangent Kernel Perspective of GANs. ICML 2022: 6660-6704 - [c256]Matthieu Kirchmeyer, Yuan Yin, Jérémie Donà, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari:
Generalizing to New Physical Systems via Context-Informed Dynamics Model. ICML 2022: 11283-11301 - [c255]Victoriya Kashtanova, Ibrahim Ayed, Andony Arrieula, Mark Potse, Patrick Gallinari, Maxime Sermesant:
Deep Learning for Model Correction in Cardiac Electrophysiological Imaging. MIDL 2022: 665-675 - [c254]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 - [c253]Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord:
Diverse Weight Averaging for Out-of-Distribution Generalization. NeurIPS 2022 - [c252]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: 190-199 - [c251]Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari:
Multi-scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators. TAG-ML 2022: 332-339 - [c250]Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari:
Multi-Scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators. TAG-ML 2022: 332-340 - [i51]Matthieu Kirchmeyer, Yuan Yin, Jérémie Donà, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari:
Generalizing to New Physical Systems via Context-Informed Dynamics Model. CoRR abs/2202.01889 (2022) - [i50]Jingang Qu, Thibault Faney, Jean-Charles de Hemptinne, Soleiman Yousef, Patrick Gallinari:
PTFlash : A deep learning framework for isothermal two-phase equilibrium calculations. CoRR abs/2205.03090 (2022) - [i49]Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord:
Diverse Weight Averaging for Out-of-Distribution Generalization. CoRR abs/2205.09739 (2022) - [i48]Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari:
Multi-scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators. CoRR abs/2206.14687 (2022) - [i47]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 abs/2206.14709 (2022) - [i46]Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari:
Continuous PDE Dynamics Forecasting with Implicit Neural Representations. CoRR abs/2209.14855 (2022) - [i45]Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari:
Module-wise Training of Residual Networks via the Minimizing Movement Scheme. CoRR abs/2210.00949 (2022) - [i44]Jingang Qu, Thibault Faney, Ze Wang, Patrick Gallinari, Soleiman Yousef, Jean-Charles de Hemptinne:
HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization. CoRR abs/2211.08253 (2022) - [i43]Florent Bonnet, Jocelyn Ahmed Mazari, Paola Cinnella, Patrick Gallinari:
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions. CoRR abs/2212.07564 (2022) - 2021
- [j70]Matthieu Kirchmeyer, Patrick Gallinari, Alain Rakotomamonjy, Amin Mantrach:
Unsupervised domain adaptation with non-stochastic missing data. Data Min. Knowl. Discov. 35(6): 2714-2755 (2021) - [j69]Giovanni Bonetta, Marco Roberti, Rossella Cancelliere, Patrick Gallinari:
The Rare Word Issue in Natural Language Generation: A Character-Based Solution. Informatics 8(1): 20 (2021) - [c249]Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari:
Learning Dynamical Systems across Environments. AAAI Spring Symposium: MLPS 2021 - [c248]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: 6594-6604 - [c247]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: 8029-8036 - [c246]Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari:
Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction. EMNLP (1) 2021: 10438-10449 - [c245]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: 482-492 - [c244]Jérémie Donà, Jean-Yves Franceschi, Sylvain Lamprier, Patrick Gallinari:
PDE-Driven Spatiotemporal Disentanglement. ICLR 2021 - [c243]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 - [c242]Manon Césaire, Lucas Schott, Hatem Hajri, Sylvain Lamprier, Patrick Gallinari:
Stochastic sparse adversarial attacks. ICTAI 2021: 1247-1254 - [c241]Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo:
Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling. ISCC 2021: 1-7 - [c240]Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Baskiotis, Patrick Gallinari:
LEADS: Learning Dynamical Systems that Generalize Across Environments. NeurIPS 2021: 7561-7573 - [c239]Emmanuel de Bézenac, Ibrahim Ayed, Patrick Gallinari:
CycleGAN Through the Lens of (Dynamical) Optimal Transport. ECML/PKDD (2) 2021: 132-147 - [c238]Jérémie Donà, Patrick Gallinari:
Differentiable Feature Selection, A Reparameterization Approach. ECML/PKDD (3) 2021: 414-429 - [i42]Clément Rebuffel, Marco Roberti, Laure Soulier, Geoffrey Scoutheeten, Rossella Cancelliere, Patrick Gallinari:
Controlling Hallucinations at Word Level in Data-to-Text Generation. CoRR abs/2102.02810 (2021) - [i41]Thomas Scialom, Paul-Alexis Dray, Patrick Gallinari, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano, Alex Wang:
SAFEval: Summarization Asks for Fact-based Evaluation. CoRR abs/2103.12693 (2021) - [i40]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 abs/2104.07555 (2021) - [i39]Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Baskiotis, Patrick Gallinari:
LEADS: Learning Dynamical Systems that Generalize Across Environments. CoRR abs/2106.04546 (2021) - [i38]Jean-Yves Franceschi, Emmanuel de Bézenac, Ibrahim Ayed, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari:
A Neural Tangent Kernel Perspective of GANs. CoRR abs/2106.05566 (2021) - [i37]Jérémie Donà, Patrick Gallinari:
Differentiable Feature Selection, a Reparameterization Approach. CoRR abs/2107.10030 (2021) - [i36]Matthieu Kirchmeyer, Patrick Gallinari, Alain Rakotomamonjy, Amin Mantrach:
Unsupervised domain adaptation with non-stochastic missing data. CoRR abs/2109.09505 (2021) - [i35]Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari:
Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction. CoRR abs/2109.12008 (2021) - [i34]Matthieu Kirchmeyer, Alain Rakotomamonjy, Emmanuel de Bézenac, Patrick Gallinari:
Mapping conditional distributions for domain adaptation under generalized target shift. CoRR abs/2110.15057 (2021) - [i33]Carlo Metta, Andrea Beretta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo, Fosca Giannotti:
Explainable Deep Image Classifiers for Skin Lesion Diagnosis. CoRR abs/2111.11863 (2021) - 2020
- [j68]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: 103342 (2020) - [j67]Yu Zhao, Anxiang Zhang, Huali Feng, Qing Li, Patrick Gallinari, Fuji Ren:
Knowledge graph entity typing via learning connecting embeddings. Knowl. Based Syst. 196: 105808 (2020) - [j66]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: 3437-3447 (2020) - [c237]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 - [c236]Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari:
Capturing Entity Hierarchy in Data-to-Text Generative Models. CIRCLE 2020 - [c235]Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari:
A Hierarchical Model for Data-to-Text Generation. ECIR (1) 2020: 65-80 - [c234]Bruno Taillé, Vincent Guigue, Patrick Gallinari:
Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization. ECIR (2) 2020: 383-391 - [c233]Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari:
Let's Stop Incorrect Comparisons in End-to-end Relation Extraction! EMNLP (1) 2020: 3689-3701 - [c232]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: 97-102 - [c231]Charles Monzani, Martial Hue, Patrick Gallinari:
Transfert entre campagnes de Real-Time Bidding. EGC 2020: 269-276 - [c230]Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot, Patrick Gallinari:
Learning the Spatio-Temporal Dynamics of Physical Processes from Partial Observations. ICASSP 2020: 3232-3236 - [c229]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: 4307-4311 - [c228]Jean-Yves Franceschi, Edouard Delasalles, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari:
Stochastic Latent Residual Video Prediction. ICML 2020: 3233-3246 - [c227]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: 120-130 - [c226]Thomas Scialom, Patrick Bordes, Paul-Alexis Dray, Jacopo Staiano, Patrick Gallinari:
What BERT Sees: Cross-Modal Transfer for Visual Question Generation. INLG 2020: 327-337 - [c225]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 - [c224]Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari:
A Principle of Least Action for the Training of Neural Networks. ECML/PKDD (2) 2020: 101-117 - [i32]Bruno Taillé, Vincent Guigue, Patrick Gallinari:
Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization. CoRR abs/2001.08053 (2020) - [i31]Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari:
Incorporating Visual Semantics into Sentence Representations within a Grounded Space. CoRR abs/2002.02734 (2020) - [i30]Jean-Yves Franceschi, Edouard Delasalles, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari:
Stochastic Latent Residual Video Prediction. CoRR abs/2002.09219 (2020) - [i29]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 abs/2002.10832 (2020) - [i28]Jérémie Donà, Jean-Yves Franceschi, Sylvain Lamprier, Patrick Gallinari:
PDE-Driven Spatiotemporal Disentanglement. CoRR abs/2008.01352 (2020) - [i27]Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari:
A Principle of Least Action for the Training of Neural Networks. CoRR abs/2009.08372 (2020) - [i26]Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari:
Let's Stop Incorrect Comparisons in End-to-end Relation Extraction! CoRR abs/2009.10684 (2020) - [i25]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 abs/2010.04456 (2020) - [i24]Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari:
PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation. CoRR abs/2010.10866 (2020) - [i23]Patrick Bordes, Eloi Zablocki, Benjamin Piwowarski, Patrick Gallinari:
Transductive Zero-Shot Learning using Cross-Modal CycleGAN. CoRR abs/2011.06850 (2020) - [i22]Hatem Hajri, Manon Césaire, Théo Combey, Sylvain Lamprier, Patrick Gallinari:
Stochastic sparse adversarial attacks. CoRR abs/2011.12423 (2020)
2010 – 2019
- 2019
- [j65]Sylvain Lamprier, Thibault Gisselbrecht, Patrick Gallinari:
Contextual bandits with hidden contexts: a focused data capture from social media streams. Data Min. Knowl. Discov. 33(6): 1853-1893 (2019) - [j64]Yu Zhao, Huali Feng, Patrick Gallinari:
Embedding Learning with Triple Trustiness on Noisy Knowledge Graph. Entropy 21(11): 1083 (2019) - [j63]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): 1549-1564 (2019) - [j62]Edouard Delasalles, Ali Ziat, Ludovic Denoyer, Patrick Gallinari:
Spatio-temporal neural networks for space-time data modeling and relation discovery. Knowl. Inf. Syst. 61(3): 1241-1267 (2019) - [c223]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 - [c222]Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari:
Incorporating Visual Semantics into Sentence Representations within a Grounded Space. EMNLP/IJCNLP (1) 2019: 696-707 - [c221]Ibrahim Ayed, Nicolas Cedilnik, Patrick Gallinari, Maxime Sermesant:
EP-Net: Learning Cardiac Electrophysiology Models for Physiology-Based Constraints in Data-Driven Predictions. FIMH 2019: 55-63 - [c220]Arthur Pajot, Emmanuel de Bézenac, Patrick Gallinari:
Unsupervised Adversarial Image Reconstruction. ICLR (Poster) 2019 - [c219]Eloi Zablocki, Patrick Bordes, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari:
Context-Aware Zero-Shot Learning for Object Recognition. ICML 2019: 7292-7303 - [c218]Marco Roberti, Giovanni Bonetta, Rossella Cancelliere, Patrick Gallinari:
Copy Mechanism and Tailored Training for Character-Based Data-to-Text Generation. ECML/PKDD (2) 2019: 648-664 - [i21]Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot, Julien Brajard, Patrick Gallinari:
Learning Dynamical Systems from Partial Observations. CoRR abs/1902.11136 (2019) - [i20]Marco Roberti, Giovanni Bonetta, Rossella Cancelliere, Patrick Gallinari:
Copy mechanism and tailored training for character-based data-to-text generation. CoRR abs/1904.11838 (2019) - [i19]Eloi Zablocki, Patrick Bordes, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari:
Context-Aware Zero-Shot Learning for Object Recognition. CoRR abs/1904.12638 (2019) - [i18]Karan Aggarwal, Matthieu Kirchmeyer, Pranjul Yadav, S. Sathiya Keerthi, Patrick Gallinari:
Regression with Conditional GAN. CoRR abs/1905.12868 (2019) - [i17]Emmanuel de Bézenac, Ibrahim Ayed, Patrick Gallinari:
Optimal Unsupervised Domain Translation. CoRR abs/1906.01292 (2019) - [i16]Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari:
A Hierarchical Model for Data-to-Text Generation. CoRR abs/1912.10011 (2019) - [i15]Arthur Pajot, Emmanuel de Bézenac, Patrick Gallinari:
Unsupervised Adversarial Image Inpainting. CoRR abs/1912.12164 (2019) - 2018
- [j61]Alejandro Lopez Rincon, Alberto Paolo Tonda, Mohamed Elati, Olivier Schwander, Benjamin Piwowarski, Patrick Gallinari:
Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification. Appl. Soft Comput. 65: 91-100 (2018) - [j60]Simon Bourigault, Sylvain Lamprier, Patrick Gallinari:
Détection de sources de diffusion par apprentissage de représentations distribuées. Document Numérique 21(3): 11-31 (2018) - [j59]Lin Qiu, Sheng Gao, Qinjie Lyu, Jun Guo, Patrick Gallinari:
A novel non-Gaussian embedding based model for recommender systems. Neurocomputing 278: 144-152 (2018) - [j58]Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari:
Anomaly detection in smart card logs and distant evaluation with Twitter: a robust framework. Neurocomputing 298: 109-121 (2018) - [j57]Sylvain Lamprier, Thibault Gisselbrecht, Patrick Gallinari:
Profile-Based Bandit with Unknown Profiles. J. Mach. Learn. Res. 19: 53:1-53:40 (2018) - [j56]Wenjie Zheng, Aurélien Bellet, Patrick Gallinari:
A distributed Frank-Wolfe framework for learning low-rank matrices with the trace norm. Mach. Learn. 107(8-10): 1457-1475 (2018) - [j55]Ludovic Dos Santos, Benjamin Piwowarski, Ludovic Denoyer, Patrick Gallinari:
Representation Learning for Classification in Heterogeneous Graphs with Application to Social Networks. ACM Trans. Knowl. Discov. Data 12(5): 62:1-62:33 (2018) - [c217]Eloi Zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari:
Learning Multi-Modal Word Representation Grounded in Visual Context. AAAI 2018: 5626-5633 - [c216]Charles-Emmanuel Dias, Clara Gainon de Forsan de Gabriac, Vincent Guigue, Patrick Gallinari:
RNN et modèle d'attention pour l'apprentissage de profils textuels personnalisés. CORIA 2018 - [c215]Hadrien Titeux, Benjamin Piwowarski, Patrick Gallinari:
Représentations Gaussiennes pour le Filtrage Collaboratif. CORIA 2018 - [c214]Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari:
Regularize and explicit collaborative filtering with textual attention. ESANN 2018 - [c213]Emmanuel de Bézenac, Arthur Pajot, Patrick Gallinari:
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge. ICLR (Poster) 2018 - [c212]Saeed Varasteh Yazdi, Ahlame Douzal Chouakria, Patrick Gallinari, Manuel Moussallam:
Time Warp Invariant Dictionary Learning for Time Series Clustering: Application to Music Data Stream Analysis. ECML/PKDD (1) 2018: 356-372 - [c211]Charles-Emmanuel Dias, Clara Gainon de Forsan de Gabriac, Patrick Gallinari, Vincent Guigue:
DEFT 2018: Attention sélective pour classification de microblogs (DEFT 2018 : Selective Attention for Microblogging Classification ). CORIA-TALN-RJC (DeFT) 2018: 279-286 - [i14]Ali Ziat, Edouard Delasalles, Ludovic Denoyer, Patrick Gallinari:
Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery. CoRR abs/1804.08562 (2018) - 2017
- [j54]Jianfei Zhang, Shengrui Wang, Lifei Chen, Patrick Gallinari:
Multiple Bayesian discriminant functions for high-dimensional massive data classification. Data Min. Knowl. Discov. 31(2): 465-501 (2017) - [j53]Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo:
A Novel Embedding Model for Relation Prediction in Recommendation Systems. IEICE Trans. Inf. Syst. 100-D(6): 1242-1250 (2017) - [j52]Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo:
Zero-Shot Embedding for Unseen Entities in Knowledge Graph. IEICE Trans. Inf. Syst. 100-D(7): 1440-1447 (2017) - [j51]Sheng Gao, Huacan Pang, Patrick Gallinari, Jun Guo, Nei Kato:
A Novel Embedding Method for Information Diffusion Prediction in Social Network Big Data. IEEE Trans. Ind. Informatics 13(4): 2097-2105 (2017) - [c210]