Jean-Marie Lagniez

Jean-Marie Lagniez

Full Professor

Researcher at CRIL (CNRS UMR 8188) | Jean Perrin Faculty of Science
Expert in Artificial Intelligence, Knowledge Representation, SAT/CSP, and Explainable AI (XAI).

HDR defended in 2019: "Promenade au-delà de NP".

News & Highlights

Best Paper Award 2025

Awarded at UAI 2025 (Uncertainty in Artificial Intelligence) for the paper:
"Probabilistic Explanations for Regression Models"
with F. Koriche and C. Tran.

2026

I will serve as Program Chair for the JFPC 2026 conference (French Days on Constraint Programming).

2025-2027

Laureate of the Cai Yuanpei program (France-China bilateral collaboration) with Prof. Shaowei Cai.

Since 2023

Appointed to the Steering Committee of GDR RADIA (CNRS), in charge of Socio-Economic Relations.

Ph.D. Supervision

Current Students
  • Anschaire Perard (Since 2023) - Energy optimization for buildings (VITAL Project).
  • Mengda Xing (Since 2023) - AI for battery optimization (Cai Yuanpei Project).
  • Chi Tran Nguyen Duong (Since 2022) - Learning Interpretable Circuits.
Alumni (Defended)
  • Steve Bellart (2023)
  • Marie Miceli (2023)
  • Gaël Glorian (2019)
  • Yacine Izza (2018)
  • Valentin Montmirail (2018)
  • Nicolas Szczepanski (2017)
  • Samuel Thomas (2016)

Research Projects

Current Projects
ANR PRME CERADOC Coordinator
2025-2029

Advanced Compilation and Representations in d-DNNF and Circuit Optimization.

Cai Yuanpei Program PI (France)
2025-2027

Bilateral collaboration with the Institute of Software (CAS, Beijing).

PIA4 MAIA
2023-2032

Mastering AI Applications (Health, Chemistry, Environment).

AI Chair EXPEKCTATION
2020-2024

Key Member (PI: P. Marquis). Lead for software development (PyXAI).

Past Projects & Others
Responsibilities at CRIL

Co-Head of the AIC Track (Algorithms for Inference and Constraints).
Scientific animation and coordination of 16 permanent researchers.


International

Active collaborations with:

  • UCLA (USA) - MAKC Project
  • NII (Japan) - K. Inoue's Team
  • Northeast Normal University (China)

Software & Transfer

Development of high-performance tools defining the State-of-the-Art in compilation, solving, and explainability.

d4

State-of-the-art

Knowledge Compiler (CNF to d-DNNF) for Model Counting (#P). Regular winner of the Model Counting Competition.

View on GitHub

PyXAI

XAI / AI Chair

Python library for Explainable AI (Tree-based models, Random Forests). Generates formal abductive and contrastive explanations.

Official Website

Crustabri

Argumentation

Successor to CoQuiAAS. Efficient Abstract Argumentation solver, multiple award winner at ICCMA competitions.

Learn more

Teaching

Head of the "Video Games" Track

Master's in Computer Science (ILJ) - Jean Perrin Faculty of Science

Program management, pedagogical engineering, and industrial relations (Partnerships with Plaine Images, Game-In).

Main Courses:
  • Master's (M2): GPU Programming (CUDA), AI for Video Games.
  • Bachelor's (L3): Advanced C Programming (Memory Optimization).
  • Bachelor's/M1: Operating Systems & Networks.

Curriculum focused on the video game industry and high-performance development.