Zobrazeno 1 - 10
of 3 695
pro vyhledávání: '"P. Knauer"'
A question at the intersection of Barnette's Hamiltonicity and Neumann-Lara's dicoloring conjecture is: Can every Eulerian oriented planar graph be vertex-partitioned into two acyclic sets? A CAI-partition of an undirected/oriented graph is a partiti
Externí odkaz:
http://arxiv.org/abs/2412.11774
Autor:
Zenbaa, Noura, Levchenko, Khrystyna O., Panda, Jaganandha, Davídková, Kristýna, Ruhwedel, Moritz, Knauer, Sebastian, Lindner, Morris, Dubs, Carsten, Wang, Qi, Urbánek, Michal, Pirro, Philipp, Chumak, Andrii V.
We demonstrate a magnonic diode based on a bilayer structure of Yttrium Iron Garnet (YIG) and Cobalt Iron Boron (CoFeB). The bilayer exhibits pronounced non-reciprocal spin-wave propagation, enabled by dipolar coupling and the magnetic properties of
Externí odkaz:
http://arxiv.org/abs/2412.08383
Autor:
Serha, Rostyslav O., Voronov, Andrey A., Schmoll, David, Klingbeil, Rebecca, Knauer, Sebastian, Koraltan, Sabri, Pribytova, Ekaterina, Lindner, Morris, Reimann, Timmy, Dubs, Carsten, Abert, Claas, Verba, Roman, Urbánek, Michal, Suess, Dieter, Chumak, Andrii V.
Quantum magnonics aims to exploit the quantum mechanical properties of magnons for nanoscale quantum information technologies. Ferrimagnetic yttrium iron garnet (YIG), which offers the longest magnon lifetimes, is a key material typically grown on ga
Externí odkaz:
http://arxiv.org/abs/2412.02827
Autor:
Schmoll, David, Voronov, Andrey A., Serha, Rostslav O., Slobodianiuk, Denys, Levchenko, Khrystyna O., Abert, Claas, Knauer, Sebastian, Suess, Dieter, Verba, Roman, Chumak, Andrii V.
Magnons have inspired potential applications in modern quantum technologies and hybrid quantum systems due to their intrinsic nonlinearity, nanoscale scalability, and a unique set of experimentally accessible parameters for manipulating their dispers
Externí odkaz:
http://arxiv.org/abs/2411.13414
Autor:
Knauer, Ricardo, Koddenbrock, Mario, Wallsberger, Raphael, Brisson, Nicholas M., Duda, Georg N., Falla, Deborah, Evans, David W., Rodner, Erik
Large language models (LLMs) provide powerful means to leverage prior knowledge for predictive modeling when data is limited. In this work, we demonstrate how LLMs can use their compressed world knowledge to generate intrinsically interpretable machi
Externí odkaz:
http://arxiv.org/abs/2409.18594
The study of complexity measures of Boolean functions led Nisan and Szegedy to state the sensitivity conjecture in 1994, claiming a polynomial relation between degree and sensitivity. This problem remained unsolved until 2019, when Huang proved the c
Externí odkaz:
http://arxiv.org/abs/2409.16141
The problem of generalization in learning from demonstration (LfD) has received considerable attention over the years, particularly within the context of movement primitives, where a number of approaches have emerged. Recently, two important approach
Externí odkaz:
http://arxiv.org/abs/2409.05655
In practice, we are often faced with small-sized tabular data. However, current tabular benchmarks are not geared towards data-scarce applications, making it very difficult to derive meaningful conclusions from empirical comparisons. We introduce PML
Externí odkaz:
http://arxiv.org/abs/2409.01635
Deep Neural Networks (DNNs) can handle increasingly complex tasks, albeit they require rapidly expanding training datasets. Collecting data from platforms with user-generated content, such as social networks, has significantly eased the acquisition o
Externí odkaz:
http://arxiv.org/abs/2409.01470
Autor:
Bernecker, Tobias, Rehawi, Ghalia, Casale, Francesco Paolo, Knauer-Arloth, Janine, Marsico, Annalisa
Graph generation addresses the problem of generating new graphs that have a data distribution similar to real-world graphs. While previous diffusion-based graph generation methods have shown promising results, they often struggle to scale to large gr
Externí odkaz:
http://arxiv.org/abs/2408.04461