We propose a novel method for developing discretization-consistent closu...
Modern high-order discretizations bear considerable potential for the
ex...
Over the last years, supervised learning (SL) has established itself as ...
Reinforcement learning (RL) is highly suitable for devising control
stra...
Standard kernel methods for machine learning usually struggle when deali...
This work presents a review of the current state of research in data-dri...
In the present work, we explore the capability of artificial neural netw...
Sliding meshes are a powerful method to treat deformed domains in
comput...