Zobrazeno 1 - 10
of 37 103
pro vyhledávání: '"A, Habibi"'
The probability distribution effectively sampled by a complex Langevin process for theories with a sign problem is not known a priori and notoriously hard to understand. Diffusion models, a class of generative AI, can learn distributions from data. I
Externí odkaz:
http://arxiv.org/abs/2412.01919
To analyse how diffusion models learn correlations beyond Gaussian ones, we study the behaviour of higher-order cumulants, or connected n-point functions, under both the forward and backward process. We derive explicit expressions for the moment- and
Externí odkaz:
http://arxiv.org/abs/2410.21212
The end-to-end (E2E) architecture for the 6th generation of mobile network (6G) necessitates a comprehensive design, considering emerging use cases (UCs), requirements, and key value Indicators (KVIs). These UCs collectively share stringent requireme
Externí odkaz:
http://arxiv.org/abs/2410.15868
Autor:
Habibi, Fahimeh
The effects of outflow on the behavior of a viscous gaseous disc around a compact object in an advection-dominated state are examined in this paper. We suppose that the flow is steady, axisymmetric, and rotating. Also, we focus on the model in which
Externí odkaz:
http://arxiv.org/abs/2410.09373
Autor:
Esfahani, Saman Habibi, Li, Yang
Motivated by a conjecture of Donaldson and Segal on the counts of monopoles and special Lagrangians in Calabi-Yau 3-folds, we prove a compactness theorem for Fueter sections of charge 2 monopole bundles over 3-manifolds: Let $u_k$ be a sequence of Fu
Externí odkaz:
http://arxiv.org/abs/2410.06367
Autor:
Dehghani, Mahshid, Shafiee, Amirahmad, Shafiei, Ali, Fallah, Neda, Alizadeh, Farahmand, Gholinejad, Mohammad Mehdi, Behroozi, Hamid, Habibi, Jafar, Asgari, Ehsaneddin
Existing 3D facial emotion modeling have been constrained by limited emotion classes and insufficient datasets. This paper introduces "Emo3D", an extensive "Text-Image-Expression dataset" spanning a wide spectrum of human emotions, each paired with i
Externí odkaz:
http://arxiv.org/abs/2410.02049
Autor:
Lindenschmitt, Daniel, Veith, Benedikt, Alam, Khurshid, Daurembekova, Ainur, Gundall, Michael, Habibi, Mohammad Asif, Han, Bin, Krummacker, Dennis, Rosemann, Philipp, Schotten, Hans D.
This paper examines architectural challenges and opportunities arising from Nomadic Networks in the context of emerging 6G research. Nomadic networks are proposed as a solution to the limitations of stationary communication networks, providing enhanc
Externí odkaz:
http://arxiv.org/abs/2409.14863
The emergence of the open radio access network (O-RAN) architecture offers a paradigm shift in cellular network management and service orchestration, leveraging data-driven, intent-based, autonomous, and intelligent solutions. Within O-RAN, the servi
Externí odkaz:
http://arxiv.org/abs/2409.05092
Autor:
Habibi, Asiyeh, Roshan, Mahmood, Hosseinirad, Mohammad, Khosroshahi, Habib, Aguerri, J. A. L., Cuomo, Virginia, Abbassi, Shahram
Publikováno v:
A&A 691, A122 (2024)
In this paper, the redshift evolution of the galactic bar properties, like the bar length, pattern speed, and bar fraction, has been investigated for simulated galaxies at stellar masses $M_*>10^{10}\, M_{\odot}$ in the cosmological magnetohydrodynam
Externí odkaz:
http://arxiv.org/abs/2409.02456
We present a 3D food printing (3DFP) method to create coiled structures, harnessing the liquid rope coiling effect as a rapid method of food printing with tunable fractural properties. By studying the printability and coil-forming ability of pea, car
Externí odkaz:
http://arxiv.org/abs/2409.01487