An Efficient Low-Rank Tensors Representation for Algorithms in Complex Probabilistic Graphical Models

Gaspard Ducamp, Philippe Bonnard, Anthony Nouy, Pierre-Henri Wuillemin

Probabilistic Graphical Models, Skørping, Denmark

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Uncertain Reasoning in Rule-Based Systems Using PRM

Gaspard Ducamp, Philippe Bonnard, Pierre-Henri Wuillemin

FLAIRS 33, Miami, United States

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Constraint-Based Learning for Non-Parametric Continuous Bayesian Networks

Marvin Lasserre, Régis Lebrun, Pierre-Henri Wuillemin

FLAIRS 33, Miami, United States

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Improving Probabilistic Rules Compilation using PRM

Gaspard Ducamp, Philippe Bonnard, Christian De Sainte Marie, Christophe Gonzales, Pierre-Henri Wuillemin

RuleML+RR Doctoral Consortium 2018, Esch-sur-Alzette, Luxembourg

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Detecting Low-Complexity Confounders from Data

Maria Virginia Ruiz Cuevas, Nataliya Sokolovska, Pierre-Henri Wuillemin, Jean-Daniel Zucker

ICML/IJCAI/AAMAS FAIM'18 Workshop on CausalML, Stockholm, Sweden

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Bayesian Networks with Conditional Truncated Density

Santiago Cortijo, Christophe Gonzales

Florida Artificial Intelligence Research Society Conference (FLAIRS'16)

Efficient Incremental Planning and Learning with Multi-Valued Decision Diagrams

Jean-Christophe Magnan, Pierre-Henri Wuillemin

Journal of Applied Logic

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Représentations graphiques de fonctions et processus décisionnels Markoviens factorisés

Jean-Christophe Magnan

PhD thesis, University Pierre and Marie Curie, Paris, France

A New Algorithm for Learning Non-Stationary Dynamic Bayesian Networks with Application to Event Detection

Christophe Gonzales, Séverine Dubuisson, Cristina E. Manfredotti

Florida Artificial Intelligence Research Society Conference (FLAIRS'15)

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Combinatorial Resampling Particle Filter: An Effective and Efficient Method for Articulated Object Tracking

Christophe Gonzales, Séverine Dubuisson

International Journal of Computer Vision

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Dynamic Credal Networks: Introduction and Use in Robustness Analysis

Matthieu Hourbracq, Cédric Baudrit, Pierre-Henri Wuillemin, Sebastien Destercke

International Symposium on Imprecise Probability: Theories and Applications (ISIPTA'13)

Speeding-up Structured Probabilistic Inference Using Pattern Mining

Lionel Torti, Christophe Gonzales, Pierre-Henri Wuillemin

International Journal of Approximate Reasoning

Structured Probabilistic Inference in Object-Oriented Probabilistic Graphical Models

Lionel Torti

PhD thesis, University Pierre and Marie Curie, Paris, France

Reinforcing the Object-Oriented Aspect of Probabilistic Relational Models

Lionel Torti, Pierre-Henri Wuillemin, Christophe Gonzales

Workshop on Probabilistic Graphical Models (PGM'10)