PhD students

Contributors PhD students Papers

PhDs using aGrUM

2021- Mahdi Hadj Ali

Explainable models and bayesian networks (CIFRE SAP)

2020- Clara Charon

health data, gerontology: prediction and explanation using Bayesian networks (CIFRE Teranga)

2017- Marvin Lasserre

Learning Non-Parametrica Copule Bayesian Networks

2017-2021 Gaspard Ducamp

Probabilistic Rules Optimized COmPilation (CIFRE IBM)

2017-2020 Mélanie Munch

Causal Discovery in Probabilist Graphical Models driven by an Ontology

2013-2016 Hamza Agli

Reasoning under Uncertainty for Business Rules.

2013-2016 Jean-Christophe Magnan

Extensions of frameworks and algorithms for sequential decision making.

2010-2015 Ariele Maesano

Optimal Strategy for Service Architecture Testing usgin Probbilistic Graphical Models.

2007-2012 Lionel Torti

Inference and modeling in Probabilistic Relational Models.

2007-2011 Jean-Philippe Dubus

Inference and triangulation methods for various graphical models (Bayesian networks, GAI networks, WCSP, ...) in very high treewidth context.