2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.CV2023★ 2 cited
Fully Hyperbolic Convolutional Neural Networks for Computer Vision
Ahmad Bdeir, Kristian Schwethelm, Niels Landwehr
Real-world visual data exhibit intrinsic hierarchical structures that can be represented effectively in hyperbolic spaces. Hyperbolic neural networks (HNNs) are a promising approac…
physics.flu-dyn2021
POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier-Stokes equations
Saddam Hijazi, Melina Freitag, Niels Landwehr
We present a Reduced Order Model (ROM) which exploits recent developments in Physics Informed Neural Networks (PINNs) for solving inverse problems for the Navier--Stokes equations…