Pierre Marquis
33 papers · 2013–2026 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (4) 🏃 Academic Marathon (12) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13)
🐝
Cross-Pollinator
(13)
🏃
Academic Marathon
(12)
🏠
Conference Loyalist
(25)
🤝
Dynamic Duo
(16)
🔬
Deep Specialist
(11)
🧬
Topic Evolution
🏆
Keyword Champion
(7)
❓
The Questioner
(2)
🗃️
Keyword Collector
(94)
🔥
Unstoppable
(11)
💎
Century Club
(32)
🚀
Conference Pioneer
Conferences
IJCAI (25)
AAAI (5)
ACL (1)
AISTATS (1)
EMNLP (1)
Top co-authors
Keywords
explainable ai
(7)
belief revision
(6)
abductive explanation
(6)
decision tree
(5)
computational complexity
(4)
random forest
(4)
iterated belief change
(3)
model counting
(2)
knowledge representation
(2)
multi-agent system
(2)
rationality postulate
(2)
axiomatic approach
(2)
contrastive explanation
(2)
boosted tree
(2)
propositional logic
(2)
polynomial time
(2)
pseudo-boolean constraint
(2)
knowledge compilation
(2)
explanation generation
(2)
belief change
(2)
Papers
Credal Concept Bottleneck Models for Epistemic–Aleatoric Uncertainty Decomposition
ACL 2026
Connecting Concept Layers and Rationales to Enhance Language Model Interpretability
EMNLP 2025
Iterated Belief Change as Learning
IJCAI 2025
On the Computation of Example-Based Abductive Explanations for Random Forests
IJCAI 2024
BeliefFlow: A Framework for Logic-Based Belief Diffusion via Iterated Belief Change
AAAI 2024
PyXAI: An XAI Library for Tree-Based Models
IJCAI 2024
Deriving Provably Correct Explanations for Decision Trees: The Impact of Domain Theories
IJCAI 2024
On Translations between ML Models for XAI Purposes
IJCAI 2023
Computing Abductive Explanations for Boosted Regression Trees
IJCAI 2023
Computing Abductive Explanations for Boosted Trees
AISTATS 2023
Editing Boolean Classifiers: A Belief Change Perspective
AAAI 2023
On Preferred Abductive Explanations for Decision Trees and Random Forests
IJCAI 2022
Trading Complexity for Sparsity in Random Forest Explanations
AAAI 2022
On Quantifying Literals in Boolean Logic and its Applications to Explainable AI (Extended Abstract)
IJCAI 2022
On the Complexity of Enumerating Prime Implicants from Decision-DNNF Circuits
IJCAI 2022
On Belief Change for Multi-Label Classifier Encodings
IJCAI 2021
Certifying Top-Down Decision-DNNF Compilers
AAAI 2021
On Irrelevant Literals in Pseudo-Boolean Constraint Learning
IJCAI 2020
On Computational Aspects of Iterated Belief Change
IJCAI 2020
Belief Merging Operators as Maximum Likelihood Estimators
IJCAI 2020
A Recursive Algorithm for Projected Model Counting
AAAI 2019
Rational Inference Relations from Maximal Consistent Subsets Selection
IJCAI 2019
What Has Been Said? Identifying the Change Formula in a Belief Revision Scenario
IJCAI 2019
Pseudo-Boolean Constraints from a Knowledge Representation Perspective
IJCAI 2018
DMC: A Distributed Model Counter
IJCAI 2018
An Improved Decision-DNNF Compiler
IJCAI 2017
Is Promoting Beliefs Useful to Make Them Accepted in Networks of Agents?
IJCAI 2016
Improving Model Counting by Leveraging Definability
IJCAI 2016
Extension Enforcement in Abstract Argumentation as an Optimization Problem
IJCAI 2015
Compiling Constraint Networks into Multivalued Decomposable Decision Graphs
IJCAI 2015
Knowledge Compilation for Model Counting: Affine Decision Trees
IJCAI 2013
Semiring Labelled Decision Diagrams, Revisited: Canonicity and Spatial Efficiency Issues
IJCAI 2013
Towards a Knowledge Compilation Map for Heterogeneous Representation Languages
IJCAI 2013