Zobrazeno 1 - 10
of 139 608
pro vyhledávání: '"P, Felix"'
Autor:
Steinmann, David, Divo, Felix, Kraus, Maurice, Wüst, Antonia, Struppek, Lukas, Friedrich, Felix, Kersting, Kristian
Shortcuts, also described as Clever Hans behavior, spurious correlations, or confounders, present a significant challenge in machine learning and AI, critically affecting model generalization and robustness. Research in this area, however, remains fr
Externí odkaz:
http://arxiv.org/abs/2412.05152
Autor:
Selz, Felix, Kölbel, Johanna, Paries, Felix, von Freymann, Georg, Molter, Daniel, Mittleman, Daniel M.
Measuring terahertz waveforms in terahertz spectroscopy often relies on electro optic sampling employing a ZnTe crystal. Although the nonlinearities in such zincblende semiconductors induced by intense terahertz pulses have been studied at optical fr
Externí odkaz:
http://arxiv.org/abs/2411.02246
Autor:
Girelli, Anita, Bin, Maddalena, Filianina, Mariia, Dargasz, Michelle, Anthuparambil, Nimmi Das, Möller, Johannes, Zozulya, Alexey, Andronis, Iason, Timmermann, Sonja, Berkowicz, Sharon, Retzbach, Sebastian, Reiser, Mario, Raza, Agha Mohammad, Kowalski, Marvin, Akhundzadeh, Mohammad Sayed, Schrage, Jenny, Woo, Chang Hee, Senft, Maximilian D., Reichart, Lara Franziska, Leonau, Aliaksandr, Rajaiah, Prince Prabhu, Chèvremont, William, Seydel, Tilo, Hallmann, Jörg, Rodriguez-Fernandez, Angel, Pudell, Jan-Etienne, Brausse, Felix, Boesenberg, Ulrike, Wrigley, James, Youssef, Mohamed, Lu, Wei, Jo, Wonhyuk, Shayduk, Roman, Madsen, Anders, Lehmkühler, Felix, Paulus, Michael, Zhang, Fajun, Schreiber, Frank, Gutt, Christian, Perakis, Fivos
Understanding protein motion within the cell is crucial for predicting reaction rates and macromolecular transport in the cytoplasm. A key question is how crowded environments affect protein dynamics through hydrodynamic and direct interactions at mo
Externí odkaz:
http://arxiv.org/abs/2410.08873
Autor:
Suárez-Rodríguez, Manuel, De Juan, Fernando, Souza, Ivo, Gobbi, Marco, Casanova, Fèlix, Hueso, Luis E.
Ohm's law has been a cornerstone of electronics since its experimental discovery. This law establishes that in a conductive system, the voltage is directly proportional to the current. Even when time-reversal symmetry is disrupted, leading to the eme
Externí odkaz:
http://arxiv.org/abs/2412.05253
In an era where cyberattacks increasingly target the software supply chain, the ability to accurately attribute code authorship in binary files is critical to improving cybersecurity measures. We propose OCEAN, a contrastive learning-based system for
Externí odkaz:
http://arxiv.org/abs/2412.05049
Autor:
Dalitz, Christoph, Lögler, Felix
The m-out-of-n bootstrap is a possible workaround to compute confidence intervals for bootstrap inconsistent estimators, because it works under weaker conditions than the n-out-of-n bootstrap. It has the disadvantage, however, that it requires knowle
Externí odkaz:
http://arxiv.org/abs/2412.05032
Autor:
Chénier, Alexandre, d'Aligny, Bosco, Pellerin, Félix, Blanchard, Paul-Édouard, Ozawa, Tomoki, Carusotto, Iacopo, St-Jean, Philippe
The prospect of developing more efficient classical or quantum photonic devices through the suppression of backscattering is a major driving force for the field of topological photonics. However, genuine protection against backscattering in photonics
Externí odkaz:
http://arxiv.org/abs/2412.04347
Publikováno v:
IEPC-2024-469
Non-destructive X-ray imaging of thruster parts and assemblies down to the scale of several micrometers is a key technology for electric propulsion research and engineering. It allows for thorough product assurance, rapid state acquisition and implem
Externí odkaz:
http://arxiv.org/abs/2412.04214
Graph Neural Networks (GNNs) are non-Euclidean deep learning models for graph-structured data. Despite their successful and diverse applications, oversmoothing prohibits deep architectures due to node features converging to a single fixed point. This
Externí odkaz:
http://arxiv.org/abs/2412.04064
In this article, we propose a novel quantum regression model by extending the Real-Part Quantum SVM. We apply our model to the problem of stability limit prediction in milling processes, a key component in high-precision manufacturing. To train our m
Externí odkaz:
http://arxiv.org/abs/2412.04048