Zobrazeno 1 - 10
of 19 294
pro vyhledávání: '"P. Ebert"'
The mathematical consistency of the BMHV scheme of dimensional regularisation (DReg) comes at the cost of requiring symmetry-restoring counterterms to cancel the regularisation-induced breaking of gauge and BRST invariance. There is no unique way to
Externí odkaz:
http://arxiv.org/abs/2411.02543
Autor:
Sarkango, Y., Szalay, J. R., Damiano, P. A., Sulaiman, A. H., Delamere, P. A., Saur, J., McComas, D. J., Ebert, R. W., Allegrini, F.
Banded energy distributions of H$^{+}$, O$^{++}$, S$^{+++}$, and O$^+$ or S$^{++}$ ions between 100 eV to ~20 keV are consistently observed in Jupiter's magnetosphere mapping to M-shells between M=10-20. The bands correspond to flux enhancements at s
Externí odkaz:
http://arxiv.org/abs/2410.17304
Recent advancements in diffusion models have enabled a wide range of works exploiting their ability to generate high-volume, high-quality data for use in various downstream tasks. One subclass of such models, dubbed Layout-to-Image Synthesis (LIS), l
Externí odkaz:
http://arxiv.org/abs/2410.06841
We live in a world that is experiencing an unprecedented boom of AI applications that increasingly penetrate and enhance all sectors of private and public life, from education, media, medicine, and mobility to the industrial and professional workspac
Externí odkaz:
http://arxiv.org/abs/2410.06681
One of the main challenges in optimal scaling of large language models (LLMs) is the prohibitive cost of hyperparameter tuning, particularly learning rate $\eta$ and batch size $B$. While techniques like $\mu$P (Yang et al., 2022) provide scaling rul
Externí odkaz:
http://arxiv.org/abs/2410.05838
Although the magnetic fields in the quiet Sun account for the majority of the magnetic energy in the solar photosphere, inferring their exact spatial distribution, origin, and evolution poses an important challenge because the signals lie at the limi
Externí odkaz:
http://arxiv.org/abs/2410.01613
Autor:
Ali, Mehdi, Fromm, Michael, Thellmann, Klaudia, Ebert, Jan, Weber, Alexander Arno, Rutmann, Richard, Jain, Charvi, Lübbering, Max, Steinigen, Daniel, Leveling, Johannes, Klug, Katrin, Buschhoff, Jasper Schulze, Jurkschat, Lena, Abdelwahab, Hammam, Stein, Benny Jörg, Sylla, Karl-Heinz, Denisov, Pavel, Brandizzi, Nicolo', Saleem, Qasid, Bhowmick, Anirban, Helmer, Lennard, John, Chelsea, Suarez, Pedro Ortiz, Ostendorff, Malte, Jude, Alex, Manjunath, Lalith, Weinbach, Samuel, Penke, Carolin, Filatov, Oleg, Asaadi, Shima, Barth, Fabio, Sifa, Rafet, Küch, Fabian, Herten, Andreas, Jäkel, René, Rehm, Georg, Kesselheim, Stefan, Köhler, Joachim, Flores-Herr, Nicolas
We present two multilingual LLMs designed to embrace Europe's linguistic diversity by supporting all 24 official languages of the European Union. Trained on a dataset comprising around 60% non-English data and utilizing a custom multilingual tokenize
Externí odkaz:
http://arxiv.org/abs/2410.03730
Determining the location of a tropical cyclone's (TC) surface circulation center -- "center-fixing" -- is a critical first step in the TC-forecasting process, affecting current and future estimates of track, intensity, and structure. Despite a recent
Externí odkaz:
http://arxiv.org/abs/2409.16507
We study a generalised version of Gross-Neveu model in 2+1 dimensions. The model is inspired from graphene which shows a linear dispersion relation near the Dirac points. The phase structure and the thermodynamic properties in the mean field approxim
Externí odkaz:
http://arxiv.org/abs/2409.10507
Autor:
DeMaria, Mark, Franklin, James L., Chirokova, Galina, Radford, Jacob, DeMaria, Robert, Musgrave, Kate D., Ebert-Uphoff, Imme
In just the past few years multiple data-driven Artificial Intelligence Weather Prediction (AIWP) models have been developed, with new versions appearing almost monthly. Given this rapid development, the applicability of these models to operational f
Externí odkaz:
http://arxiv.org/abs/2409.06735