• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 414 matches

• 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)
• 
  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, Alexandre Allauzen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari:
  LOCOST: Modèles Espace-État pour le Résumé Abstractif de Documents Longs. TALN (2) 2024: 11
• 
  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)
• 
  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 abs/2406.02176 (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 abs/2407.01641 (2024)
• 
  João Maria Janeiro, Benjamin Piwowarski, Patrick Gallinari, Loïc Barrault:
  MEXMA: Token-level objectives improve sentence representations. CoRR abs/2409.12737 (2024)
• 
  Louis Serrano, Armand Kassaï Koupaï, Thomas X. Wang, Pierre Erbacher, Patrick Gallinari:
  Zebra: In-Context and Generative Pretraining for Solving Parametric PDEs. CoRR abs/2410.03437 (2024)
• 
  Zineddine Tighidet, Andrea Mogini, Jiali Mei, Benjamin Piwowarski, Patrick Gallinari:
  Probing Language Models on Their Knowledge Source. CoRR abs/2410.05817 (2024)
• 
  Lise Le Boudec, Emmanuel de Bézenac, Louis Serrano, Ramon Daniel Regueiro-Espino, Yuan Yin, Patrick Gallinari:
  Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methods. CoRR abs/2410.06820 (2024)
• 
  Armand Kassaï Koupaï, Jorge Misfut Benet, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari:
  GEPS: Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning. CoRR abs/2410.23889 (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)

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