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2020 – today
- 2025
[i7]Milan Bhan, Yann Choho, Pierre Moreau, Jean-Noël Vittaut, Nicolas Chesneau, Marie-Jeanne Lesot:
Towards Achieving Concept Completeness for Unsupervised Textual Concept Bottleneck Models. CoRR abs/2502.11100 (2025)- 2024
- [c18]Milan Bhan, Jean-Noël Vittaut, Nicolas Chesneau, Marie-Jeanne Lesot:
Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations. EMNLP 2024: 10974-10991 - [c17]Armand Kassaï Koupaï, Jorge Mifsut Benet, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari:
Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning. NeurIPS 2024 - [c16]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. NeurIPS 2024 - [i6]Milan Bhan, Jean-Noël Vittaut, Nicolas Chesneau, Marie-Jeanne Lesot:
Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations. CoRR abs/2402.12038 (2024) - [i5]Milan Bhan, Jean-Noël Vittaut, Nina Achache, Victor Legrand, Nicolas Chesneau, Annabelle Blangero, Juliette Murris, Marie-Jeanne Lesot:
Mitigating Text Toxicity with Counterfactual Generation. CoRR abs/2405.09948 (2024) - [i4]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) - [i3]Armand Kassaï Koupaï, Jorge Mifsut 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
- [c15]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 - [c14]Milan Bhan, Jean-Noël Vittaut
, Nicolas Chesneau, Marie-Jeanne Lesot:
TIGTEC: Token Importance Guided TExt Counterfactuals. ECML/PKDD (3) 2023: 496-512 - [i2]Milan Bhan, Jean-Noël Vittaut, Nicolas Chesneau, Marie-Jeanne Lesot:
TIGTEC : Token Importance Guided TExt Counterfactuals. CoRR abs/2304.12425 (2023) - [i1]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)
2010 – 2019
- 2019
- [c13]Aline Hufschmitt, Jean-Noël Vittaut, Nicolas Jouandeau:
Exploiting Game Decompositions in Monte Carlo Tree Search. ACG 2019: 106-118 - 2018
- [c12]Aline Hufschmitt, Jean-Noël Vittaut, Nicolas Jouandeau:
Statistical GGP Game Decomposition. CGW@IJCAI 2018: 79-97 - 2016
- [c11]Aline Hufschmitt, Jean-Noël Vittaut, Jean Méhat:
A General Approach of Game Description Decomposition for General Game Playing. CGW@IJCAI 2016: 165-177 - 2014
- [c10]Jean-Noël Vittaut, Jean Méhat:
Efficient Grounding of Game Descriptions with Tabling. CGW@ECAI 2014: 105-118 - [c9]Jean-Noël Vittaut, Jean Méhat:
Fast Instantiation of GGP Game Descriptions Using Prolog with Tabling. ECAI 2014: 1121-1122 - 2010
- [j1]Catherine Sauvaget, Jean-Noël Vittaut, Jordane Suarez, Vincent Boyer, Stéphane Manuel:
Automated Colorization of Segmented Images Based on Color Harmony. J. Multim. Process. Technol. 1(4): 228-244 (2010) - [c8]Catherine Sauvaget, Stéphane Manuel, Jean-Noël Vittaut, Jordane Suarez, Vincent Boyer:
Segmented Images Colorization Using Harmony. SITIS 2010: 153-160
2000 – 2009
- 2006
- [c7]Patrick Gallinari, Jean-Noël Vittaut:
Apprentissage d'ordonnancements en recherche d'information structurée. CORIA 2006: 17-28 - [c6]Jean-Noël Vittaut, Patrick Gallinari:
Machine Learning Ranking for Structured Information Retrieval. ECIR 2006: 338-349 - [c5]Jean-Noël Vittaut, Patrick Gallinari:
Supervised and Semi-supervised Machine Learning Ranking. INEX 2006: 213-222 - 2005
- [c4]Jean-Noël Vittaut, Patrick Gallinari:
Machine Learning Ranking and INEX'05. INEX 2005: 336-343 - 2004
- [c3]Jean-Noël Vittaut, Benjamin Piwowarski, Patrick Gallinari:
An Algebra for Structured Queries in Bayesian Networks. INEX 2004: 100-112 - 2003
- [c2]Ludovic Denoyer, Jean-Noël Vittaut, Patrick Gallinari, Sylvie Brunessaux, Stephan Brunessaux:
Structured multimedia document classification. ACM Symposium on Document Engineering 2003: 153-160 - 2002
- [c1]Jean-Noël Vittaut, Massih-Reza Amini, Patrick Gallinari:
Learning Classification with Both Labeled and Unlabeled Data. ECML 2002: 468-479
Coauthor Index
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