6 papers
Coachable agents for interactive gameplay
Roberto Capobianco, Harm van Seijen, Nolan D. Bard +39
Reinforcement learning has proven to be a valuable tool in the creation of advanced AI and robotic systems, contributing to everything from game playing to robotics to foundation m…
Resolution and calibration effects in high contrast polarimetric imaging of circumstellar scattering regions
H. M. Schmid, J. Ma
Many circumstellar dust scattering regions have been detected and investigated with polarimetric imaging. However, the quantitative determination of the intrinsic polarization and…
Enhancing efficiency in paediatric brain tumour segmentation using a pathologically diverse single-center clinical dataset
A. Piffer, J. A. Buchner, A. G. Gennari +11
Background Brain tumours are the most common solid malignancies in children, encompassing diverse histological, molecular subtypes and imaging features and outcomes. Paediatric bra…
MInDI-3D: Iterative Deep Learning in 3D for Sparse-view Cone Beam Computed Tomography
Daniel Barco, Marc Stadelmann, Martin Oswald +7
We present MInDI-3D (Medical Inversion by Direct Iteration in 3D), the first 3D conditional diffusion-based model for real-world sparse-view Cone Beam Computed Tomography (CBCT) ar…
Machine-Learning-enabled ab initio study of quantum phase transitions in SrTiO
Jonathan Schmidt, Nicola A. Spaldin
We use the self-consistent harmonic approximation (SSCHA) with machine learning interatomic potentials to calculate the effect of O substitution on the properties of quantum…
Accelerating the development of oxynitride thin films: A combinatorial investigation of the Al-Si-O-N system
Stefanie Frick, Oleksandr Pshyk, Arnold Müller +3
Oxynitrides are used in a variety of applications including photocatalysts, high-k dielectrics or wear-resistant coatings and often show intriguing multi-functionality. To accelera…