Zobrazeno 1 - 10
of 33 192
pro vyhledávání: '"P. P. Krüger"'
We present a simple method for predicting the distribution of output growth and inflation in the G7 economies. The method is based on point forecasts published by the International Monetary Fund (IMF), as well as robust statistics from the the empiri
Externí odkaz:
http://arxiv.org/abs/2408.08304
Autor:
Rivera-Dean, J., Crispin, H. B., Stammer, P., Lamprou, Th., Pisanty, E., Krüger, M., Tzallas, P., Lewenstein, M., Ciappina, M. F.
High-harmonic generation (HHG) has recently emerged as a promising method for generating non-classical states of light with frequencies spanning from the infrared up to the extreme ultraviolet regime. In this work, we theoretically investigate the ge
Externí odkaz:
http://arxiv.org/abs/2408.07577
Autor:
Priebe, Domenik, Pohl, Nik, AlBaraghtheh, Tamadur, Schimek, Sven, Wieland, Florian, Krüger, Diana, Trostorff, Sascha, Willumeit-Römer, Regine, Köhl, Ralf, Zeller-Plumhoff, Berit
In silico testing of implant materials is a research area of high interest, as cost- and labour-intensive experiments may be omitted. However, assessing the tissue-material interaction mathematically and computationally can be very complex, in partic
Externí odkaz:
http://arxiv.org/abs/2408.03820
Autor:
Vach, Sydney, Zhou, George, Huang, Chelsea X., Mann, Andrew W., Barber, Madyson G., Bieryla, Allyson, Latham, David W., Collins, Karen A., Rogers, James G., Bouma, Luke G., Douglas, Stephanie T., Quinn, Samuel N., Fairnington, Tyler R., Krüger, Joachim, Shporer, Avi, Collins, Kevin I., Srdoc, Gregor, Schwarz, Richard P., Relles, Howard M., Barkaoui, Khalid, McLeod, Kim K., Schneider, Alayna, Narita, Norio, Fukui, Akihiko, Sefako, Ramotholo, Fong, William, Mireles, Ismael, Torres, Guillermo, Ricker, George R., Seager, Sara, Winn, Joshua N.
Observing and characterizing young planetary systems can aid in unveiling the evolutionary mechanisms that sculpt the mature exoplanet population. As an all-sky survey, NASA's Transiting Exoplanet Survey Satellite (TESS) has expanded the known young
Externí odkaz:
http://arxiv.org/abs/2407.19680
Autor:
Siddiqui, Shoaib Ahmed, Dong, Xin, Heinrich, Greg, Breuel, Thomas, Kautz, Jan, Krueger, David, Molchanov, Pavlo
Large Language Models (LLMs) are not only resource-intensive to train but even more costly to deploy in production. Therefore, recent work has attempted to prune blocks of LLMs based on cheap proxies for estimating block importance, effectively remov
Externí odkaz:
http://arxiv.org/abs/2407.16286
Autor:
Behrendt, Finn, Bhattacharya, Debayan, Mieling, Robin, Maack, Lennart, Krüger, Julia, Opfer, Roland, Schlaefer, Alexander
Unsupervised Anomaly Detection (UAD) methods rely on healthy data distributions to identify anomalies as outliers. In brain MRI, a common approach is reconstruction-based UAD, where generative models reconstruct healthy brain MRIs, and anomalies are
Externí odkaz:
http://arxiv.org/abs/2407.12474
Autor:
Santra, Ion, Krüger, Matthias
We study paradigmatic examples of a tracer trapped in a harmonic potential and coupled to a bath particle of various types. Restricting to linear couplings between tracer and bath allows for analytical treatment. We discuss the resulting stochastic L
Externí odkaz:
http://arxiv.org/abs/2407.10531
Autor:
Tölle, Malte, Burger, Lukas, Kelm, Halvar, André, Florian, Bannas, Peter, Diller, Gerhard, Frey, Norbert, Garthe, Philipp, Groß, Stefan, Hennemuth, Anja, Kaderali, Lars, Krüger, Nina, Leha, Andreas, Martin, Simon, Meyer, Alexander, Nagel, Eike, Orwat, Stefan, Scherer, Clemens, Seiffert, Moritz, Seliger, Jan Moritz, Simm, Stefan, Friede, Tim, Seidler, Tim, Engelhardt, Sandy
Purpose: Federated training is often hindered by heterogeneous datasets due to divergent data storage options, inconsistent naming schemes, varied annotation procedures, and disparities in label quality. This is particularly evident in the emerging m
Externí odkaz:
http://arxiv.org/abs/2407.09064
Autor:
Caspers, Juliana, Krüger, Matthias
When a probe particle immersed in a fluid with nonlinear interactions is subject to strong driving, the cumulants of the stochastic force acting on the probe are nonlinear functionals of the driving protocol. We present a Volterra series for these no
Externí odkaz:
http://arxiv.org/abs/2407.07628
Autor:
Tölle, Malte, Garthe, Philipp, Scherer, Clemens, Seliger, Jan Moritz, Leha, Andreas, Krüger, Nina, Simm, Stefan, Martin, Simon, Eble, Sebastian, Kelm, Halvar, Bednorz, Moritz, André, Florian, Bannas, Peter, Diller, Gerhard, Frey, Norbert, Groß, Stefan, Hennemuth, Anja, Kaderali, Lars, Meyer, Alexander, Nagel, Eike, Orwat, Stefan, Seiffert, Moritz, Friede, Tim, Seidler, Tim, Engelhardt, Sandy
Federated learning (FL) is a renowned technique for utilizing decentralized data while preserving privacy. However, real-world applications often involve inherent challenges such as partially labeled datasets, where not all clients possess expert ann
Externí odkaz:
http://arxiv.org/abs/2407.07557