Zobrazeno 1 - 10
of 51 270
pro vyhledávání: '"P. Fuchs"'
Autor:
Tsesmelis, Theodore, Palmieri, Luca, Khoroshiltseva, Marina, Islam, Adeela, Elkin, Gur, Shahar, Ofir Itzhak, Scarpellini, Gianluca, Fiorini, Stefano, Ohayon, Yaniv, Alali, Nadav, Aslan, Sinem, Morerio, Pietro, Vascon, Sebastiano, Gravina, Elena, Napolitano, Maria Cristina, Scarpati, Giuseppe, Zuchtriegel, Gabriel, Spühler, Alexandra, Fuchs, Michel E., James, Stuart, Ben-Shahar, Ohad, Pelillo, Marcello, Del Bue, Alessio
This paper proposes the RePAIR dataset that represents a challenging benchmark to test modern computational and data driven methods for puzzle-solving and reassembly tasks. Our dataset has unique properties that are uncommon to current benchmarks for
Externí odkaz:
http://arxiv.org/abs/2410.24010
The advent of large language models (LLMs), such as GPT-4, has enabled significant advancements in generating code across various domains. However, these models face unique challenges when generating IEC 61131-3 Structured Text (ST) code due to limit
Externí odkaz:
http://arxiv.org/abs/2410.22159
This paper is concerned with a comparison principle for viscosity solutions to Hamilton-Jacobi (HJ), -Bellman (HJB), and -Isaacs (HJI) equations for general classes of partial integro-differential operators. Our approach innovates in three ways: (1)
Externí odkaz:
http://arxiv.org/abs/2410.19566
Autor:
Brötzner, Johannes, Biber, Herbert, Szabo, Paul Stefan, Jäggi, Noah, Fuchs, Lea, Nenning, Andreas, Fellinger, Martina, Nagy, Gyula, Pitthan, Eduardo, Primetzhofer, Daniel, Mutzke, Andreas, Wilhelm, Richard Arthur, Wurz, Peter, Galli, André, Aumayr, Friedrich
Sputtering by solar wind ions is a key process driving the ejection of high-energy particles into the exospheres of airless bodies like asteroids, Mercury and the Moon. In view of upcoming missions which will deliver new in-situ data on these exosphe
Externí odkaz:
http://arxiv.org/abs/2410.14450
Autor:
Baderot, Julien, Cauchepin, Yann, Seiller, Alexandre, Fontanges, Richard, Martinez, Sergio, Foucher, Johann, Fuchs, Emmanuel, Daanoune, Mehdi, Grenier, Vincent, Barra, Vincent, Guillin, Arnaud
MicroLED displays are the result of a complex manufacturing chain. Each stage of this process, if optimized, contributes to achieving the highest levels of final efficiencies. Common works carried out by Pollen Metrology, Aledia, and Universit{\'e} C
Externí odkaz:
http://arxiv.org/abs/2410.21294
Autor:
Lang, Thomas, Heim, Anja, Dremel, Kilian, Prjamkov, Dimitri, Blaimer, Martin, Firsching, Markus, Papadaki, Anastasia, Kasperl, Stefan, Fuchs, Theobald OJ
Quantum computing is currently gaining significant attention, not only from the academic community but also from industry, due to its potential applications across several fields for addressing complex problems. For any practical problem which may be
Externí odkaz:
http://arxiv.org/abs/2410.00742
Autor:
Friedlander, Holley, Fuchs, Elena, Harris, Piper, Hsu, Catherine, Rickards, James, Sanden, Katherine, Schindler, Damaris, Stange, Katherine E.
Inspired by a question of Sarnak, we introduce the notion of a prime component in an Apollonian circle packing: a maximal tangency-connected subset having all prime curvatures. We also consider thickened prime components, which are augmented by all c
Externí odkaz:
http://arxiv.org/abs/2410.00177
Autor:
Xu, Qin, Fuchs, Gregory D.
We propose two geometries to realize a significant beam splitter interaction (XZ coupling) between magnons and a 2D microwave cavity mode. In both setups the cavity is analogous to the mechanical oscillator in a conventional optomechanical setup. The
Externí odkaz:
http://arxiv.org/abs/2410.00160
Interference effects are well founded from the quantum mechanical viewpoint and in principle cannot be ignored in realistic studies of New Physics scenarios. In this work, we investigate the size of interference effects between resonant and non-reson
Externí odkaz:
http://arxiv.org/abs/2409.06651
Neural Networks (NNs) are promising models for refining the accuracy of molecular dynamics, potentially opening up new fields of application. Typically trained bottom-up, atomistic NN potential models can reach first-principle accuracy, while coarse-
Externí odkaz:
http://arxiv.org/abs/2408.15852