BALTEEC - Bayesian Active Learning Techniques for Energy EfficienCy in buildings
Published on August 21, 2025
Updated on August 21, 2025
Core members
- Simon Barthelmé ( GIPSA Lab / CNRS),
- Renaud Chicoisne (LIMOS / UCA),
- Rodolphe Le Riche (LIMOS / CNRS)
- Clémentine Prieur (UGA / LJK / Inria project-team AIRSEA)
- Simon Rouchier (LOCIE / USMB),
- Olivier Zahm ( LJK / Inria)
Associated members
- Dorothée Charlier (IREGE / USMB)
- Antoine Chatalic (GIPSA Lab / CNRS)
- Gilles Fraisse (LOCIE / USMB)
- Maxime Lefrançois (LIMOS / Mines St-Etienne)
- Didier Rullière (LIMOS / Mines St-Etienne)
International collaborator
David Ginsbourger, Uncertainty Quantification and
Spatial Statistics group at the University of Berne (Switzerland)
Industrial and non-academic partners
Research topics
Active Machine Learning, Bayesian Optimization, Building Energy Performance, Kernel Methods, Uncertainty Quantification