[en] Many domains of science have developed complex simulations to describe phenomena of interest. While these simulations provide high-fidelity models, they are poorly suited for inference and lead to challenging inverse problems. In this talk, we will review the rapidly developing field of simulation-based inference and identify the forces giving additional momentum to the field. Finally, we will describe how the frontier is expanding so that a broad audience can appreciate the profound influence these developments may have on science.
Disciplines :
Computer science
Author, co-author :
Louppe, Gilles ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Big Data