Zobrazeno 1 - 10
of 7 331
pro vyhledávání: '"Küchler A"'
The widespread adoption of machine learning (ML) in various critical applications, from healthcare to autonomous systems, has raised significant concerns about privacy, accountability, and trustworthiness. To address these concerns, recent research h
Externí odkaz:
http://arxiv.org/abs/2409.12055
Publikováno v:
SciPost Phys. 17, 056 (2024)
Compact binaries with asymmetric mass ratios are key expected sources for next-generation gravitational wave detectors. Gravitational self-force theory has been successful in producing post-adiabatic waveforms that describe the quasi-circular inspira
Externí odkaz:
http://arxiv.org/abs/2405.00170
Particle tracking in turbulent flows is fundamental to the study of the transport of tracers, inertial particles or even active objects in space and time, i.e. the Lagrangian frame of reference. It provides experimental tests of theoretical predictio
Externí odkaz:
http://arxiv.org/abs/2404.04215
Recent advancements in privacy-preserving machine learning are paving the way to extend the benefits of ML to highly sensitive data that, until now, have been hard to utilize due to privacy concerns and regulatory constraints. Simultaneously, there i
Externí odkaz:
http://arxiv.org/abs/2402.15780
Autor:
Küchler, Niklas, Horbach, Jürgen
Computer simulations are used to study a three-dimensional polydisperse model glassformer in a replica-coupling setup where an attractive field $\propto - \varepsilon Q$ of strength $\varepsilon$ can adjust the similarity of the system to a fixed ref
Externí odkaz:
http://arxiv.org/abs/2402.04205
Autor:
Dawczak-Dębicki, H., Kliemt, Kristin, Crivillero, M. Victoria Ale, Küchler, R., Krellner, C., Stockert, O., Wirth, S.
Single crystals of DyRh$_2$Si$_2$ and HoRh$_2$Si$_2$ were investigated by thermal expansion and magnetostriction. The different types of magnetic order can clearly be seen in these measurements, particularly the canting of the moments away from the c
Externí odkaz:
http://arxiv.org/abs/2402.04072
Publikováno v:
Machine Vision and Applications 35, 66 (2024)
Deep neural network models for image segmentation can be a powerful tool for the automation of motor claims handling processes in the insurance industry. A crucial aspect is the reliability of the model outputs when facing adverse conditions, such as
Externí odkaz:
http://arxiv.org/abs/2401.09245
Autor:
LISA Consortium Waveform Working Group, Afshordi, Niayesh, Akçay, Sarp, Seoane, Pau Amaro, Antonelli, Andrea, Aurrekoetxea, Josu C., Barack, Leor, Barausse, Enrico, Benkel, Robert, Bernard, Laura, Bernuzzi, Sebastiano, Berti, Emanuele, Bonetti, Matteo, Bonga, Béatrice, Bozzola, Gabriele, Brito, Richard, Buonanno, Alessandra, Cárdenas-Avendaño, Alejandro, Casals, Marc, Chernoff, David F., Chua, Alvin J. K., Clough, Katy, Colleoni, Marta, Dhesi, Mekhi, Druart, Adrien, Durkan, Leanne, Faye, Guillaume, Ferguson, Deborah, Field, Scott E., Gabella, William E., García-Bellido, Juan, Gracia-Linares, Miguel, Gerosa, Davide, Green, Stephen R., Haney, Maria, Hannam, Mark, Heffernan, Anna, Hinderer, Tanja, Helfer, Thomas, Hughes, Scott A., Husa, Sascha, Isoyama, Soichiro, Katz, Michael L., Kavanagh, Chris, Khanna, Gaurav, Kidder, Larry E., Korol, Valeriya, Küchler, Lorenzo, Laguna, Pablo, Larrouturou, François, Tiec, Alexandre Le, Leather, Benjamin, Lim, Eugene A., Lim, Hyun, Littenberg, Tyson B., Long, Oliver, Lousto, Carlos O., Lovelace, Geoffrey, Lukes-Gerakopoulos, Georgios, Lynch, Philip, Macedo, Rodrigo P., Markakis, Charalampos, Maggio, Elisa, Mandel, Ilya, Maselli, Andrea, Mathews, Josh, Mourier, Pierre, Neilsen, David, Nagar, Alessandro, Nichols, David A., Novák, Jan, Okounkova, Maria, O'Shaughnessy, Richard, Oshita, Naritaka, O'Toole, Conor, Pan, Zhen, Pani, Paolo, Pappas, George, Paschalidis, Vasileios, Pfeiffer, Harald P., Pompili, Lorenzo, Pound, Adam, Pratten, Geraint, Rüter, Hannes R., Ruiz, Milton, Sam, Zeyd, Sberna, Laura, Shapiro, Stuart L., Shoemaker, Deirdre M., Sopuerta, Carlos F., Spiers, Andrew, Sundar, Hari, Tamanini, Nicola, Thompson, Jonathan E., Toubiana, Alexandre, Tsokaros, Antonios, Upton, Samuel D., van de Meent, Maarten, Vernieri, Daniele, Wachter, Jeremy M., Warburton, Niels, Wardell, Barry, Witek, Helvi, Witzany, Vojtěch, Yang, Huan, Zilhão, Miguel, Albertini, Angelica, Arun, K. G., Bezares, Miguel, Bonilla, Alexander, Chapman-Bird, Christian, Cownden, Bradley, Cunningham, Kevin, Devitt, Chris, Dolan, Sam, Duque, Francisco, Dyson, Conor, Fryer, Chris L., Gair, Jonathan R., Giacomazzo, Bruno, Gupta, Priti, Han, Wen-Biao, Haas, Roland, Hirschmann, Eric W., Huerta, E. A., Jetzer, Philippe, Kelly, Bernard, Khalil, Mohammed, Lewis, Jack, Lloyd-Ronning, Nicole, Marsat, Sylvain, Nardini, Germano, Neef, Jakob, Ottewill, Adrian, Pantelidou, Christiana, Piovano, Gabriel Andres, Redondo-Yuste, Jaime, Sagunski, Laura, Stein, Leo C., Skoupý, Viktor, Sperhake, Ulrich, Speri, Lorenzo, Spieksma, Thomas F. M., Stevens, Chris, Trestini, David, Vañó-Viñuales, Alex
LISA, the Laser Interferometer Space Antenna, will usher in a new era in gravitational-wave astronomy. As the first anticipated space-based gravitational-wave detector, it will expand our view to the millihertz gravitational-wave sky, where a spectac
Externí odkaz:
http://arxiv.org/abs/2311.01300
Autor:
Sylvia Zöphel, Nadja Küchler, Johanna Jansky, Cora Hoxha, Gertrud Schäfer, Julius J. Weise, Joanne Vialle, Lea Kaschek, Gebhard Stopper, Hermann Eichler, Daniela Yildiz, Alina Moter, Philipp Wendel, Evelyn Ullrich, Claudia Schormann, Torben Rixecker, Onur Cetin, Frank Neumann, Patrick Orth, Moritz Bewarder, Markus Hoth, Lorenz Thurner, Eva C. Schwarz
Publikováno v:
Molecular Cancer, Vol 23, Iss 1, Pp 1-9 (2024)
Abstract Assessing the prognosis of patients with aggressive non-Hodgkin B cell lymphoma mainly relies on a clinical risk score (IPI). Standard first-line therapies are based on a chemo-immunotherapy with rituximab, which mediates CD16-dependent anti
Externí odkaz:
https://doaj.org/article/c26da19e6df140a2bd9fa86950fc9b73
The emergence of quantum computing raises the question of how to identify (security-relevant) programming errors during development. However, current static code analysis tools fail to model information specific to quantum computing. In this paper, w
Externí odkaz:
http://arxiv.org/abs/2308.06113