18 citations · 64 across the 13 of their papers we have counts for
17 papers
Align and Segment: Unsupervised Learning for Building Segmentation From Misaligned Labels
Venkanna Babu Guthula, Oswin Krause, Dimitri Gominski +5
Supervised learning for image segmentation typically requires spatially aligned image and label sets. When images and labels originate from different sources, the pairing may be mi…
Reducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis
Jiahao Lu, Chong Yin, Oswin Krause +3
Feature-based self-explanatory methods explain their classification in terms of human-understandable features. In the medical imaging community, this semantic matching of clinical…
Inferring properties of dust in supernovae with neural networks
Zoe Ansari, Christa Gall, Roger Wesson +1
Context. Determining properties of dust formed in and around supernovae from observations remains challenging. This may be due to either incomplete coverage of data in wavelength o…
Learning Coulomb Diamonds in Large Quantum Dot Arrays
Oswin Krause, Anasua Chatterjee, Ferdinand Kuemmeth +1
We introduce an algorithm that is able to find the facets of Coulomb diamonds in quantum dot arrays. We simulate these arrays using the constant-interaction model, and rely only on…
Autonomous estimation of high-dimensional Coulomb diamonds from sparse measurements
Anasua Chatterjee, Fabio Ansaloni, Torbjørn Rasmussen +5
Quantum dot arrays possess ground states governed by Coulomb energies, utilized prominently by singly occupied quantum dots, each implementing a spin qubit. For such quantum proces…
Estimation of Convex Polytopes for Automatic Discovery of Charge State Transitions in Quantum Dot Arrays
Oswin Krause, Torbjørn Rasmussen, Bertram Brovang +2
In spin based quantum dot arrays, material or fabrication imprecisions affect the behaviour of the device, which must be taken into account when controlling it. This requires measu…