Michèle Sebag

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

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Venues

IJCAI ×2 AAAI ×1 ECML-PKDD ×1 ICLR ×1

Frequent coauthors

Nicolas Atienza

×2

Johanne Cohen

×2

Christophe Labreuche

×2

Shuyu Dong

×1

Kento Uemura

×1

Akito Fujii

×1

Shuang Chang

×1

Yusuke Koyanagi

×1

Koji Maruhashi

×1

Roman Bresson

×1

Cyriaque Rousselot

×1

Philippe Caillou

×1

Papers

DCILP: A Distributed Approach for Large-Scale Causal Structure Learning
AAAI 2025 ·
Shuyu Dong
, Michèle Sebag,
Kento Uemura
,
Akito Fujii
,
Shuang Chang
,
Yusuke Koyanagi
,
Koji Maruhashi
Provably Safeguarding a Classifier from OOD and Adversarial Samples
ICLR 2025 ·
Nicolas Atienza
,
Johanne Cohen
,
Christophe Labreuche
, Michèle Sebag
Cutting the Black Box: Conceptual Interpretation of a Deep Neural Net with Multi-Modal Embeddings and Multi-Criteria Decision Aid
IJCAI 2024 ·
Nicolas Atienza
,
Roman Bresson
,
Cyriaque Rousselot
,
Philippe Caillou
,
Johanne Cohen
,
Christophe Labreuche
, Michèle Sebag
Frugal Generative Modeling for Tabular Data
ECML-PKDD 2024 ·
Alice Lacan
,
Blaise Hanczar
, Michèle Sebag
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges
IJCAI 2024 ·
Audrey Poinsot
,
Alessandro Ferreira Leite
,
Nicolas Chesneau
, Michèle Sebag,
Marc Schoenauer