Zobrazeno 1 - 10
of 16 881
pro vyhledávání: '"Bodnar, A."'
In this paper, we analyze the asymptotic behavior of the main characteristics of the mean-variance efficient frontier employing random matrix theory. Our particular interest covers the case when the dimension $p$ and the sample size $n$ tend to infin
Externí odkaz:
http://arxiv.org/abs/2409.15103
Autor:
Bodnar, Stanislav, Zerhoch, Jonathan, Liu, Shangpu, Shcherbakov, Andrii, Heindl, Markus W., Sapozhnik, Alexey, Deschler, Felix
Using optical orientation to manipulate magnetic moments in matter with light is a key objective in opto-spintronics, however, realizations of such control on ultrafast timescales are limited. Here, we report ultrafast optical control of magnetic mom
Externí odkaz:
http://arxiv.org/abs/2406.19127
Autor:
Bodnar, Cristian, Bruinsma, Wessel P., Lucic, Ana, Stanley, Megan, Vaughan, Anna, Brandstetter, Johannes, Garvan, Patrick, Riechert, Maik, Weyn, Jonathan A., Dong, Haiyu, Gupta, Jayesh K., Thambiratnam, Kit, Archibald, Alexander T., Wu, Chun-Chieh, Heider, Elizabeth, Welling, Max, Turner, Richard E., Perdikaris, Paris
Reliable forecasts of the Earth system are crucial for human progress and safety from natural disasters. Artificial intelligence offers substantial potential to improve prediction accuracy and computational efficiency in this field, however this rema
Externí odkaz:
http://arxiv.org/abs/2405.13063
Autor:
Böddecker, Alexander, Passmann, Maximilian, Segura, Angie Natalia Torres, Bodnar, Arisa, Awakowicz, Felix, Oppotsch, Timothy, Muhler, Martin, Awakowicz, Peter, Gibson, Andrew R., Korolov, Ihor, Mussenbrock, Thomas
This study investigates the correlation between flow fields induced by a surface dielectric barrier discharge (SDBD) system and its application for the volatile organic compound (VOC) gas conversion process. As a benchmark molecule, the conversion of
Externí odkaz:
http://arxiv.org/abs/2405.01875
Autor:
Bodnar, Taras, Parolya, Nestor
In this paper, we derive high-dimensional asymptotic properties of the Moore-Penrose inverse and the ridge-type inverse of the sample covariance matrix. In particular, the analytical expressions of the weighted sample trace moments are deduced for bo
Externí odkaz:
http://arxiv.org/abs/2403.15792
Autor:
Bodnar, Levente
This paper shows that calculating $k$-CLIQUE on $n$ vertex graphs, requires the AND of at least $2^{n/4k}$ monotone, constant-depth, and polynomial-sized circuits, for sufficiently large values of $k$. The proof relies on a new, monotone, one-sided s
Externí odkaz:
http://arxiv.org/abs/2401.12094
Graph convolutions have been a pivotal element in learning graph representations. However, recursively aggregating neighboring information with graph convolutions leads to indistinguishable node features in deep layers, which is known as the over-smo
Externí odkaz:
http://arxiv.org/abs/2311.05767
Autor:
Bodnar, Olha, Bodnar, Taras
In this paper, we present the Bayesian inference procedures for the parameters of the multivariate random effects model derived under the assumption of an elliptically contoured distribution when the Berger and Bernardo reference and the Jeffreys pri
Externí odkaz:
http://arxiv.org/abs/2305.15983
Autor:
Volodymyr Mikhav, Mohammed Ahmed Shakir, Haithem Kareem Abass, Ola Farooq Jelwy, Husam Najm Abbood Al-Bayati, Salman Mahmood Salman, Nataliia Bodnar
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 1, Pp 66-75 (2024)
Background: Due to the rising complexity of decision-making processes, there is a growing need for machine-learning models that can be easily understood. Ensuring the ethical use of AI in different fields requires establishing trust and understanding
Externí odkaz:
https://doaj.org/article/ceebf6c47cc641f7a1e5cb11256e6d5f
Autor:
Yuliia Navrozova, Mustafa Mohammmed Jassim, Haithem Kareem Abass, Azhar Raheem Mohammed Al-Ani, Ammar Falih Mahdi, Abdul Mohsen Jaber Almaaly, Nataliia Bodnar
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 1, Pp 481-492 (2024)
Background: Climate change is a pressing global issue with far-reaching consequences. Understanding and predicting its impacts is crucial for effective mitigation and adaptation strategies. With its ability to process vast amounts of data, deep learn
Externí odkaz:
https://doaj.org/article/b13ee29d2ac4467490671ed8fad08cfe