Zobrazeno 1 - 10
of 33 517
pro vyhledávání: '"MØLLER, P."'
Autor:
Sourget, Théo, Hestbek-Møller, Michelle, Jiménez-Sánchez, Amelia, Xu, Jack Junchi, Cheplygina, Veronika
The development of larger models for medical image analysis has led to increased performance. However, it also affected our ability to explain and validate model decisions. Models can use non-relevant parts of images, also called spurious correlation
Externí odkaz:
http://arxiv.org/abs/2412.04030
A longstanding computational challenge is the accurate simulation of many-body particle systems. Especially for deriving key characteristics of high-impact but complex systems such as battery materials and high entropy alloys (HEA). While simple mode
Externí odkaz:
http://arxiv.org/abs/2411.15667
We conduct a comprehensive study of anomalous charge transport in the quantum sine--Gordon model. Employing the framework of Generalized Hydrodynamics, we compute Drude weights and Onsager matrices across a wide range of coupling strengths to quantif
Externí odkaz:
http://arxiv.org/abs/2411.11473
Applied macroeconomists frequently use impulse response estimators motivated by linear models. We study whether the estimands of such procedures have a causal interpretation when the true data generating process is in fact nonlinear. We show that vec
Externí odkaz:
http://arxiv.org/abs/2411.10415
Autor:
Krogager, J. -K., De Cia, A., Heintz, K. E., Fynbo, J. P. U., Christensen, L. B., Björnsson, G., Jakobsson, P., Jeffreson, S., Ledoux, C., Møller, P., Noterdaeme, P., Palmerio, J., Vergani, S. D., Watson, D.
Publikováno v:
MNRAS 535, 561 (2024)
We study the properties of long gamma-ray burst (GRB) host galaxies using a statistical modelling framework derived to model damped Lyman-$\alpha$ absorbers (DLAs) in quasar spectra at high redshift. The distribution of NHI for GRB-DLAs is $\sim$10 t
Externí odkaz:
http://arxiv.org/abs/2411.03818
Multiclass learnability is known to exhibit a properness barrier: there are learnable classes which cannot be learned by any proper learner. Binary classification faces no such barrier for learnability, but a similar one for optimal learning, which c
Externí odkaz:
http://arxiv.org/abs/2410.22749
Autor:
Kiefer, Sven, Bach-Møller, Nanna, Samra, Dominic, Lewis, David A., Schneider, Aaron D., Amadio, Flavia, Lecoq-Molinos, Helena, Carone, Ludmila, Decin, Leen, Jørgensen, Uffe G., Helling, Christiane
Publikováno v:
A&A 692, A222 (2024)
Warm Saturn type exoplanets orbiting M-dwarfs are particularly suitable for in-depth cloud characterisation through transmission spectroscopy due to their favourable stellar to planetary radius contrast. However, modelling cloud formation consistentl
Externí odkaz:
http://arxiv.org/abs/2410.17716
Autor:
Legrand, Nicolas, Weber, Lilian, Waade, Peter Thestrup, Daugaard, Anna Hedvig Møller, Khodadadi, Mojtaba, Mikuš, Nace, Mathys, Chris
Bayesian models of cognition have gained considerable traction in computational neuroscience and psychiatry. Their scopes are now expected to expand rapidly to artificial intelligence, providing general inference frameworks to support embodied, adapt
Externí odkaz:
http://arxiv.org/abs/2410.09206
In the context of Industry 4.0, the manufacturing sector is increasingly facing the challenge of data usability, which is becoming a widespread phenomenon and a new contemporary concern. In response, Data Governance (DG) emerges as a viable avenue to
Externí odkaz:
http://arxiv.org/abs/2409.15137
Autor:
Nielsen, Rasmus Svejstrup, Gunawan, Oki, Todorov, Teodor, Møller, Clara Brendstrup, Hansen, Ole, Vesborg, Peter Christian Kjærgaard
Selenium is an elemental semiconductor with a wide bandgap suitable for a range of optoelectronic and solar energy conversion technologies. However, developing such applications requires an in-depth understanding of the fundamental material propertie
Externí odkaz:
http://arxiv.org/abs/2409.12804