Zobrazeno 1 - 10
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pro vyhledávání: '"Kałuża A"'
Autor:
Salgado, F. C., Kozan, A., Seipt, D., Hollatz, D., Hilz, P., Kaluza, M., Sävert, A., Seidel, A., Ullmann, D., Zhao, Y., Zepf, M.
The pepper-pot method is a widely used technique originally proposed for measuring the emittance of space-charge-dominated electron beams from radio-frequency photoinjectors. With recent advances in producing high-brightness electron beams via laser
Externí odkaz:
http://arxiv.org/abs/2412.09971
Autor:
Dymond, Michael, Kaluža, Vojtěch
We prove that every $L$-bilipschitz mapping $\mathbb{Z}^2\to\mathbb{R}^2$ can be extended to a $C(L)$-bilipschitz mapping $\mathbb{R}^2\to\mathbb{R}^2$ and provide an upper bound for $C(L)$. Moreover, we extend the result to every separated net in $\
Externí odkaz:
http://arxiv.org/abs/2410.22294
Autor:
Kaluža, Vojtěch, Koval, Vadym
In this small note, we collect several observations pertaining to the famous spectral graph parameter $\mu$ introduced in 1990 by Y. Colin de Verdi\`ere. This parameter is defined as the maximum corank among certain matrices akin to weighted Laplacia
Externí odkaz:
http://arxiv.org/abs/2410.21226
Autor:
Zdechlik Robert, Kałuża Agnieszka
Publikováno v:
Geologos, Vol 25, Iss 3, Pp 255-262 (2019)
Modern hydrogeological research uses numerical modelling, which is most often based on the finite difference method (FDM) or finite element method (FEM). The present paper discusses an example of application of the less frequently used FEM for simula
Externí odkaz:
https://doaj.org/article/5a7d6e6383ee4e7ebf077897320f46f5
Autor:
Salgado, F. C., Kozan, A., Seipt, D., Hollatz, D., Hilz, P., Kaluza, M., Sävert, A., Seidel, A., Ullmann, D., Zhao, Y., Zepf, M.
Publikováno v:
Phys. Rev. Accel. Beams. 27, 052803 (2024)
Novel schemes for generating ultra-low emittance electron beams have been developed in past years and promise compact particle sources with excellent beam quality suitable for future high-energy physics experiments and free-electron lasers. Recent th
Externí odkaz:
http://arxiv.org/abs/2401.08314
Autor:
Kałuża, Andrzej, Morkisz, Paweł M., Mulewicz, Bartłomiej, Przybyłowicz, Paweł, Wiącek, Martyna
We present a novel deep learning method for estimating time-dependent parameters in Markov processes through discrete sampling. Departing from conventional machine learning, our approach reframes parameter approximation as an optimization problem usi
Externí odkaz:
http://arxiv.org/abs/2312.08493
Autor:
Piovesan, Damiano, Zago, Davide, Joshi, Parnal, Kaluza, M. Clara De Paolis, Mehdiabadi, Mahta, Ramola, Rashika, Monzon, Alexander Miguel, Reade, Walter, Friedberg, Iddo, Radivojac, Predrag, Tosatto, Silvio C. E.
We present CAFA-evaluator, a powerful Python program designed to evaluate the performance of prediction methods on targets with hierarchical concept dependencies. It generalizes multi-label evaluation to modern ontologies where the prediction targets
Externí odkaz:
http://arxiv.org/abs/2310.06881
Autor:
Azamoum, Yasmina, Becker, Georg Alexander, Keppler, Sebastian, Duchateau, Guillaume, Skupin, Stefan, Grech, Mickael, Catoire, Fabrice, Hell, Sebastian, Tamer, Issa, Hornung, Marco, Hellwing, Marco, Kessler, Alexander, Schorcht, Franck, Kaluza, Malte Christoph
Publikováno v:
Light Sci Appl 13, 109 (2024)
Understanding the target dynamics during its interaction with a relativistic ultrashort laser pulse is a challenging fundamental multi-physics problem involving at least atomic and solid-state physics, plasma physics, and laser physics. Already, the
Externí odkaz:
http://arxiv.org/abs/2309.00303
Publikováno v:
Frontiers in Artificial Intelligence and Applications, Volume 372: ECAI 2023, 1207 - 1214
Supervised classification algorithms are used to solve a growing number of real-life problems around the globe. Their performance is strictly connected with the quality of labels used in training. Unfortunately, acquiring good-quality annotations for
Externí odkaz:
http://arxiv.org/abs/2307.14380
This paper focuses on analyzing the error of the randomized Euler algorithm when only noisy information about the coefficients of the underlying stochastic differential equation (SDE) and the driving Wiener process is available. Two classes of distur
Externí odkaz:
http://arxiv.org/abs/2307.04718