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Michèle Sebag

5 papers at tracked venues · 2 at CORE A* · active 2024–2025

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Venues

IJCAI ×2AAAI ×1ECML-PKDD ×1ICLR ×1

Frequent coauthors

Nicolas Atienza
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×2
Shuyu Dong
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×1
Alice Lacan
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×1
Audrey Poinsot
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×1

Papers

  1. DCILP: A Distributed Approach for Large-Scale Causal Structure Learning
    AAAI 2025 ·
    Shuyu Dong
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  2. Provably Safeguarding a Classifier from OOD and Adversarial Samples
    ICLR 2025 ·
    Nicolas Atienza
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  3. Cutting the Black Box: Conceptual Interpretation of a Deep Neural Net with Multi-Modal Embeddings and Multi-Criteria Decision Aid
    IJCAI 2024 ·
    Nicolas Atienza
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  4. Frugal Generative Modeling for Tabular Data
    ECML-PKDD 2024 ·
    Alice Lacan
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  5. Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges
    IJCAI 2024 ·
    Audrey Poinsot
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