Zobrazeno 1 - 10
of 7 639
pro vyhledávání: '"Kaluza A"'
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:
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
Autor:
Kevin Leonel Gomez, Agustín Pérez-Moreno, Jorge Gustavo Meso, Flavio Bellardini, Mattia Antonio Baiano, Diego Pol, Alberto Garrido, Jonatan Kaluza, Luciana Muci, Michael Pittman
Publikováno v:
BMC Ecology and Evolution, Vol 24, Iss 1, Pp 1-16 (2024)
Abstract The Portezuelo Formation preserves an outstanding record of the upper Turonian – lower Coniacian. Despite the discovery of a significant quantity of sauropod fossil material from the formation, only two species have been formally described
Externí odkaz:
https://doaj.org/article/5a2df25d7d6a4cbfbfba08f9ae194a1e
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract This paper investigates the feasibility of applying the hologram segmentation method for homogeneous illumination. Research focuses on improving the uniformity of the illumination obtained from diffractive optical elements in the THz range.
Externí odkaz:
https://doaj.org/article/a25483f0f7d942bfa1ed8b9b170359af