Zobrazeno 1 - 10
of 139 005
pro vyhledávání: '"A Julius"'
Autor:
Liu, Puze, Günster, Jonas, Funk, Niklas, Gröger, Simon, Chen, Dong, Bou-Ammar, Haitham, Jankowski, Julius, Marić, Ante, Calinon, Sylvain, Orsula, Andrej, Olivares-Mendez, Miguel, Zhou, Hongyi, Lioutikov, Rudolf, Neumann, Gerhard, Zhalehmehrabi, Amarildo Likmeta Amirhossein, Bonenfant, Thomas, Restelli, Marcello, Tateo, Davide, Liu, Ziyuan, Peters, Jan
Machine learning methods have a groundbreaking impact in many application domains, but their application on real robotic platforms is still limited. Despite the many challenges associated with combining machine learning technology with robotics, robo
Externí odkaz:
http://arxiv.org/abs/2411.05718
Deep learning has led to remarkable advancements in computational histopathology, e.g., in diagnostics, biomarker prediction, and outcome prognosis. Yet, the lack of annotated data and the impact of batch effects, e.g., systematic technical data diff
Externí odkaz:
http://arxiv.org/abs/2411.05489
In materials and pharmaceutical development, rapidly and accurately determining the similarity between X-ray powder diffraction (XRPD) measurements is crucial for efficient solid form screening and analysis. We present SMolNet, a classifier based on
Externí odkaz:
http://arxiv.org/abs/2411.03308
Autor:
Akhond, Mohammad, Arias-Tamargo, Guillermo, Carta, Federico, Grimminger, Julius F., Hanany, Amihay
We study Higgs branches of field theories with 8 supercharges in 5 and 6 dimensions, focusing on theories realised on 5-brane webs in Type IIB with an O$7^+$ plane, or a D6-D8-NS5 brane system in Type IIA in the presence of an O$8^+$ plane. We find m
Externí odkaz:
http://arxiv.org/abs/2411.02491
In time-series analysis, many recent works seek to provide a unified view and representation for time-series across multiple domains, leading to the development of foundation models for time-series data. Despite diverse modeling techniques, existing
Externí odkaz:
http://arxiv.org/abs/2411.01006
Biological transport networks are highly optimized structures that ensure power-efficient distribution of fluids across various domains, including animal vasculature and plant venation. Theoretically, these networks can be described as space-embedded
Externí odkaz:
http://arxiv.org/abs/2411.00692
The vascular network of leaves, comprising xylem and phloem, is a highly optimized system for the delivery of water, nutrients, and sugars. The design rules for these naturally occurring networks have been studied since the time of Leonardo da Vinci,
Externí odkaz:
http://arxiv.org/abs/2410.24009
The non-Hermitian (NH) skin effect is a truly NH feature, which manifests itself as an accumulation of states, known as skin states, on the boundaries of a system. In this perspective, we discuss several aspects of the NH skin effect focusing on the
Externí odkaz:
http://arxiv.org/abs/2410.23845
Autor:
Domnich, Marharyta, Valja, Julius, Veski, Rasmus Moorits, Magnifico, Giacomo, Tulver, Kadi, Barbu, Eduard, Vicente, Raul
As machine learning models evolve, maintaining transparency demands more human-centric explainable AI techniques. Counterfactual explanations, with roots in human reasoning, identify the minimal input changes needed to obtain a given output and, henc
Externí odkaz:
http://arxiv.org/abs/2410.21131
Autor:
Monzac, Joséphine, Smartsev, Slava, Huijts, Julius, Rovige, Lucas, Andriyash, Igor A., Vernier, Aline, Tomkus, Vidmantas, Girdauskas, Valdas, Raciukaitis, Gediminas, Mackevičiūtė, Miglė, Stankevic, Valdemar, Cavagna, Antoine, Kaur, Jaismeen, Kalouguine, André, Lopez-Martens, Rodrigo, Faure, Jérôme
Laser-Wakefield Accelerators (LWFA) running at kHz repetition rates hold great potential for applications. They typically operate with low-energy, highly compressed laser pulses focused in high-pressure gas targets. Experiments have shown that the be
Externí odkaz:
http://arxiv.org/abs/2410.21309