no code implementations • 22 May 2024 • Ahmad Bdeir, Johannes Burchert, Lars Schmidt-Thieme, Niels Landwehr
Hyperbolic deep learning has become a growing research direction in computer vision due to the unique properties afforded by the alternate embedding space.
1 code implementation • 28 Mar 2023 • Ahmad Bdeir, Kristian Schwethelm, Niels Landwehr
To address this, we present HCNN, a fully hyperbolic convolutional neural network (CNN) designed for computer vision tasks.
no code implementations • 14 Jul 2022 • Ahmad Bdeir, Jonas K. Falkner, Lars Schmidt-Thieme
Machine Learning (ML) methods have become a useful tool for tackling vehicle routing problems, either in combination with popular heuristics or as standalone models.
1 code implementation • 27 Jun 2022 • Jonas K. Falkner, Daniela Thyssens, Ahmad Bdeir, Lars Schmidt-Thieme
Combinatorial optimization problems are encountered in many practical contexts such as logistics and production, but exact solutions are particularly difficult to find and usually NP-hard for considerable problem sizes.
no code implementations • 25 Apr 2021 • Ahmad Bdeir, Simon Boeder, Tim Dernedde, Kirill Tkachuk, Jonas K. Falkner, Lars Schmidt-Thieme
In this paper we present a new approach to tackle complex routing problems with an improved state representation that utilizes the model complexity better than previous methods.