Michele Sebag

LISN CNRS-INRIA , Université Paris-Saclay , France

10 papers in the IJCAI proceedings

IJCAI 2024

Cutting the Black Box: Conceptual Interpretation of a Deep Neural Net with Multi-Modal Embeddings and Multi-Criteria Decision Aid

with Nicolas Atienza, Roman Bresson, Cyriaque Rousselot, Philippe Caillou, Johanne Cohen, Christophe Labreuche

doi:10.24963/ijcai.2024/406

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Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges

with Audrey Poinsot, Alessandro Leite, Nicolas Chesneau, Marc Schoenauer

doi:10.24963/ijcai.2024/907

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IJCAI 2023

Toward Job Recommendation for All

with Guillaume Bied, Solal Nathan, Elia Perennes, Morgane Hoffmann, Philippe Caillou, Bruno Crépon, Christophe Gaillac

doi:10.24963/ijcai.2023/655

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IJCAI 2020

Neural Representation and Learning of Hierarchical 2-additive Choquet Integrals

with Roman Bresson, Johanne Cohen, Eyke Hüllermeier, Christophe Labreuche

doi:10.24963/ijcai.2020/275

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IJCAI 2019

Automated Machine Learning with Monte-Carlo Tree Search

with Herilalaina Rakotoarison, Marc Schoenauer

doi:10.24963/ijcai.2019/457

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IJCAI 2007

A Machine Learning Approach for Statistical Software Testing

with Nicolas Baskiotis, Marie-Claude Gaudel, Sandrine-Dominique Gouraud

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IJCAI 2005

A Multi-Objective Multi-Modal Optimization Approach for Mining Stable Spatio-Temporal Patterns

with Nicolas Tarrisson, Olivier Teytaud, Julien Lefèvre, Sylvain Baillet

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Phase Transitions within Grammatical Inference

with Nicolas Pernot, Antoine Cornuéjols

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IJCAI 1999

Constructive Induction: A Version Space-based Approach

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IJCAI 1997

Tractable Induction and Classification in First Order Logic Via Stochastic Matching

with Céline Rouveirol

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Future Conferences

AI Journal Division

IJCAI Proceedings