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- Patrick Gallinari
LIP6, Paris
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Publication search results
found 405 matches
- 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. EACL (1) 2024: 1144-1159 - 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 abs/2401.17919 (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 abs/2403.01623 (2024) - 2023
- 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) - Song Duong, Alberto Lumbreras, Mike Gartrell, Patrick Gallinari:
Learning from Multiple Sources for Data-to-Text and Text-to-Data. AISTATS 2023: 3733-3753 - Thomas X. Wang, Patrick Gallinari:
Handling unstructured data for operator learning using implicit neural representations. Tiny Papers @ ICLR 2023 - Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari:
Continuous PDE Dynamics Forecasting with Implicit Neural Representations. ICLR 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: 221-236 - Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari:
Module-wise Training of Neural Networks via the Minimizing Movement Scheme. NeurIPS 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 - Skander Karkar, Patrick Gallinari, Alain Rakotomamonjy:
Adversarial Sample Detection Through Neural Network Transport Dynamics. ECML/PKDD (1) 2023: 164-181 - 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: 73-81 - 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) - 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) - Léon Migus, Julien Salomon, Patrick Gallinari:
Stability of implicit neural networks for long-term forecasting in dynamical systems. CoRR abs/2305.17155 (2023) - Skander Karkar, Patrick Gallinari, Alain Rakotomamonjy:
Adversarial Sample Detection Through Neural Network Transport Dynamics. CoRR abs/2306.04252 (2023) - 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) - 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) - 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) - Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari:
Module-wise Training of Neural Networks via the Minimizing Movement Scheme. CoRR abs/2309.17357 (2023) - 2022
- 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) - 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) - Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo:
Exemplars and Counterexemplars Explanations for Skin Lesion Classifiers. HHAI 2022: 258-260 - Jérémie Donà, Marie Déchelle, Patrick Gallinari, Marina Levy:
Constrained Physical-Statistics Models for Dynamical System Identification and Prediction. ICLR 2022 - Matthieu Kirchmeyer, Alain Rakotomamonjy, Emmanuel de Bézenac, Patrick Gallinari:
Mapping conditional distributions for domain adaptation under generalized target shift. ICLR 2022 - 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 - 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 - 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 - 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 - Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord:
Diverse Weight Averaging for Out-of-Distribution Generalization. NeurIPS 2022
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