Zobrazeno 1 - 10
of 1 881
pro vyhledávání: '"Mathys P"'
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
To gain better understanding of the Ap stars with the longest rotation periods, we obtained high resolution spectra of a sample of super-slowly rotating Ap (ssrAp) star candidates identified by a TESS photometric survey, to confirm that they are inde
Externí odkaz:
http://arxiv.org/abs/2409.08060
Many graph algorithms can be viewed as sets of rules that are iteratively applied, with the number of iterations dependent on the size and complexity of the input graph. Existing machine learning architectures often struggle to represent these algori
Externí odkaz:
http://arxiv.org/abs/2408.11042
Artificial Intelligence (AI) tools have become incredibly powerful in generating synthetic images. Of particular concern are generated images that resemble photographs as they aspire to represent real world events. Synthetic photographs may be used m
Externí odkaz:
http://arxiv.org/abs/2408.06398
Massless spinning correlators in cosmology are extremely complicated. In contrast, the scattering amplitudes of massless particles with spin are very simple. We propose that the reason for the unreasonable complexity of these correlators lies in the
Externí odkaz:
http://arxiv.org/abs/2408.02727
Autor:
Hartman, Thomas, Mathys, Grégoire
In a four-dimensional quantum field theory that flows between two fixed points under the renormalization group, the change in the conformal anomaly $\Delta a$ has been related to the average null energy. We extend this result to derive a sum rule for
Externí odkaz:
http://arxiv.org/abs/2405.10137
The evolution of artificial intelligence (AI) has catalyzed a transformation in digital content generation, with profound implications for cyber influence operations. This report delves into the potential and limitations of generative deep learning m
Externí odkaz:
http://arxiv.org/abs/2403.12207
We explore the physics of relativistic gapless phases defined by a mixed anomaly between two generalized conserved currents. The gapless modes can be understood as Goldstone modes arising from the nonlinear realization of (generically higher-form) sy
Externí odkaz:
http://arxiv.org/abs/2403.03256
Graph Visualization, also known as Graph Drawing, aims to find geometric embeddings of graphs that optimize certain criteria. Stress is a widely used metric; stress is minimized when every pair of nodes is positioned at their shortest path distance.
Externí odkaz:
http://arxiv.org/abs/2402.06706
Autor:
Järvinen, S. P., Hubrig, S., Wolff, B., Kurtz, D. W., Mathys, G., Chojnowski, S. D., Schöller, M., Ilyin, I.
Pulsations of rapidly oscillating Ap stars and their interaction with the stellar magnetic field have not been studied in the near-IR region despite the benefits these observations offer compared to visual wavelengths. The main advantage of the near-
Externí odkaz:
http://arxiv.org/abs/2401.16966