Zobrazeno 1 - 10
of 47 287
pro vyhledávání: '"P Maximilian"'
We investigate the efficacy of data augmentations to close the domain gap in spaceborne computer vision, crucial for autonomous operations like on-orbit servicing. As the use of computer vision in space increases, challenges such as hostile illuminat
Externí odkaz:
http://arxiv.org/abs/2410.15766
Autor:
John, Valentin, Yu, Cécile X., van Straaten, Barnaby, Rodríguez-Mena, Esteban A., Rodríguez, Mauricio, Oosterhout, Stefan, Stehouwer, Lucas E. A., Scappucci, Giordano, Bosco, Stefano, Rimbach-Russ, Maximilian, Niquet, Yann-Michel, Borsoi, Francesco, Veldhorst, Menno
Quantum computers require the systematic operation of qubits with high fidelity. For holes in germanium, the spin-orbit interaction allows for \textit{in situ} electric fast and high-fidelity qubit gates. However, the interaction also causes a large
Externí odkaz:
http://arxiv.org/abs/2412.16044
Autor:
Fischer, Maximilian, Hauptmann, Florian M., Peretzke, Robin, Naser, Paul, Neher, Peter, Neumann, Jan-Oliver, Maier-Hein, Klaus
Although advances in brain surgery techniques have led to fewer postoperative complications requiring Intensive Care Unit (ICU) monitoring, the routine transfer of patients to the ICU remains the clinical standard, despite its high cost. Predictive G
Externí odkaz:
http://arxiv.org/abs/2412.15818
Like many optimization algorithms, Stochastic Variational Inference (SVI) is sensitive to the choice of the learning rate. If the learning rate is too small, the optimization process may be slow, and the algorithm might get stuck in local optima. On
Externí odkaz:
http://arxiv.org/abs/2412.15745
Object-centric architectures can learn to extract distinct object representations from visual scenes, enabling downstream applications on the object level. Similarly to autoencoder-based image models, object-centric approaches have been trained on th
Externí odkaz:
http://arxiv.org/abs/2412.15150
The field of air shower physics, dedicated to understanding the development of cosmic-ray interactions with the Earth's atmosphere, faces a significant challenge regarding the muon content of air showers observed by the Pierre Auger Observatory, and
Externí odkaz:
http://arxiv.org/abs/2412.15094
Unsupervised object-centric learning from videos is a promising approach to extract structured representations from large, unlabeled collections of videos. To support downstream tasks like autonomous control, these representations must be both compos
Externí odkaz:
http://arxiv.org/abs/2412.14295
Autor:
Al-Hamdo, Hassan, Wagner, Tobias, Schwenke, Philipp, Kendzo, Gutenberg, Dausend, Maximilian, Scheuer, Laura, Yaqoob, Misbah, Vasyuchka, Vitaliy I., Pirro, Philipp, Gomonay, Olena, Weiler, Mathias
We investigate spin dynamics in $\alpha$-Fe$_{2}$O$_{3}$/Ni$_{80}$Fe$_{20}$ (Py) heterostructures, uncovering a robust mechanism for in-situ modulation of ferromagnetic resonance (FMR) through precise control of temperature, applied magnetic field an
Externí odkaz:
http://arxiv.org/abs/2412.14090
Recently, we have presented the result for the zero-jettiness soft function at next-to-next-to-next-to-leading order (N3LO) in perturbative QCD [arXiv:2409.11042], without providing technical details of the calculation. The goal of this paper is to d
Externí odkaz:
http://arxiv.org/abs/2412.14001
Autor:
Jones, Caitlin, Kraus, Nico, Bhardwaj, Pallavi, Adler, Maximilian, Schrödl-Baumann, Michael, Manrique, David Zambrano
Time series forecasting is a valuable tool for many applications, such as stock price predictions, demand forecasting or logistical optimization. There are many well-established statistical and machine learning models that are used for this purpose.
Externí odkaz:
http://arxiv.org/abs/2412.13878