Sort by
Refine Your Search
-
Listed
-
Field
-
The detection of out-of-distribution (OoD) samples is crucial for deploying deep learning (DL) models in real-world scenarios. OoD samples pose a challenge to DL models as they are not represented
-
Scientific Reports, already cutting computational cost by more than two orders of magnitude (22,282 CPU hours down to 85 on a test case). With no known equivalent in the international literature, PULSE
-
, numerical systems designs. The project builds on complementary developments from both teams: TRAITOR for experimental fault injection and µArchiFI for formal securi Applicants should hold a PhD in computer
-
tutorials as well as in the valorization of our innovations. #CEA-List ; #researcher ; #Nanotechnology ; #Simulation Model You have an engineering/master's degree or a PhD in the field of computer
-
for systematic turbulence studies; Publishing scientific results in peer-reviewed journals and presenting them at international conferences. Profil du candidat The successful candidate should hold a PhD in plasma
-
on this benchmark. - Write a publication about this benchmark. #Cea List Moyens / Méthodes / Logiciels AI, Deep Neural Network, Computer Vision, Human behavior analysis Profil du candidat Profile - Students in
-
phase-field models require the underlying free-energy density as an input. This internship aims to compute that free-energy landscape from first principles and transfer it to continuum electrode models
-
is not. To do so, the candidate will come on board the Manta project [3], which is the framework of the nextgen finite element software for computational mechanics at CEA, and the “Laboratoire d’Etudes