Zobrazeno 1 - 10
of 28 473
pro vyhledávání: '"Frederik, P"'
Autor:
Shalev, Guy, Kratzert, Frederik
The Caravan large-sample hydrology dataset (Kratzert et al., 2023) was created to standardize and harmonize streamflow data from various regional datasets, combined with globally available meteorological forcing and catchment attributes. This communi
Externí odkaz:
http://arxiv.org/abs/2411.09459
Autor:
Munko, Frederik, Luukkonen, Catherine Cruz, Carrasco, Ismael S. S., Reis, Fábio D. A. Aarão, Oettel, Martin
Island formation in strain-free heteroepitaxial deposition of thin films is analyzed using kinetic Monte Carlo simulations of two minimal lattice models and scaling approaches. The transition from layer-by-layer (LBL) to island (ISL) growth is driven
Externí odkaz:
http://arxiv.org/abs/2411.09288
We investigate the tomography of unknown unitary quantum processes within the framework of a finite-dimensional Wigner-type representation. This representation provides a rich visualization of quantum operators by depicting them as shapes assembled a
Externí odkaz:
http://arxiv.org/abs/2411.05404
Spectral line observations are an indispensable tool to remotely probe the physical and chemical conditions throughout the universe. Modelling their behaviour is a computational challenge that requires dedicated software. In this paper, we present th
Externí odkaz:
http://arxiv.org/abs/2411.03040
Autor:
Ruschke, Tim, Carlsen, Jonathan Frederik, Hansen, Adam Espe, Lindberg, Ulrich, Hindsholm, Amalie Monberg, Norgaard, Martin, Ladefoged, Claes Nøhr
Deep learning models in medical contexts face challenges like data scarcity, inhomogeneity, and privacy concerns. This study focuses on improving ventricular segmentation in brain MRI images using synthetic data. We employed two latent diffusion mode
Externí odkaz:
http://arxiv.org/abs/2411.01351
We consider the graphical representations of the Ising model on tree-like graphs. We construct a class of graphs on which the loop $\mathrm{O}(1)$ model and then single random current exhibit a non-unique phase transition with respect to the inverse
Externí odkaz:
http://arxiv.org/abs/2410.22061
Offloading computationally expensive algorithms to the edge or even cloud offers an attractive option to tackle limitations regarding on-board computational and energy resources of robotic systems. In cloud-native applications deployed with the conta
Externí odkaz:
http://arxiv.org/abs/2410.18825
For superparamagnetic nanoparticles (SMNPs), it is often claimed that the rapid thermal fluctuations of their magnetic moments negates the magnetic dipolar attraction, hence preventing aggregation in liquid suspension. However we find that this is a
Externí odkaz:
http://arxiv.org/abs/2410.17201
Autor:
Natale, Emanuele, Ferre', Davide, Giambartolomei, Giordano, Giroire, Frédéric, Mallmann-Trenn, Frederik
Publikováno v:
38th Conference on Neural Information Processing Systems (NeurIPS 2024), Dec 2024, Vancouver, Canada
Considerable research efforts have recently been made to show that a random neural network $N$ contains subnetworks capable of accurately approximating any given neural network that is sufficiently smaller than $N$, without any training. This line of
Externí odkaz:
http://arxiv.org/abs/2410.14754
Autor:
Liu, Yijing, Yang, Christopher, Gaertner, Gabriel, Huckabee, John, Suslov, Alexey V., Refael, Gil, Nathan, Frederik, Lewandowski, Cyprian, Torres, Luis E. F. Foa, Esin, Iliya, Barbara, Paola, Kalugin, Nikolai G.
Light-induced phenomena in materials can exhibit exotic behavior that extends beyond equilibrium properties, offering new avenues for understanding and controlling electronic phases. So far, non-equilibrium phenomena in solids have been predominantly
Externí odkaz:
http://arxiv.org/abs/2410.13930