Zobrazeno 1 - 10
of 1 286
pro vyhledávání: '"P. Bura"'
Generative AI is transforming education by enabling personalized learning, enhancing administrative efficiency, and fostering creative engagement. This paper explores the opportunities and challenges these tools bring to pedagogy, proposing actionabl
Externí odkaz:
http://arxiv.org/abs/2411.15971
Publikováno v:
Phys. Rev. B 110, 035140 (2024)
The synergy of strong spin-orbit coupling and electron-electron interactions gives rise to unconventional topological states, such as topological Mott insulator, Weyl semimetal, and quantum spin liquid. In this study, we have grown single crystals of
Externí odkaz:
http://arxiv.org/abs/2406.18971
We address the resource allocation challenges in NextG cellular radio access networks (RAN), where heterogeneous user applications demand guarantees on throughput and service regularity. We leverage the Whittle indexability property to decompose the
Externí odkaz:
http://arxiv.org/abs/2406.01888
Autor:
Bura, Archana, Bobbili, Sarat Chandra, Rameshkumar, Shreyas, Rengarajan, Desik, Kalathil, Dileep, Shakkottai, Srinivas
Media streaming is the dominant application over wireless edge (access) networks. The increasing softwarization of such networks has led to efforts at intelligent control, wherein application-specific actions may be dynamically taken to enhance the u
Externí odkaz:
http://arxiv.org/abs/2404.07315
A new perspective is introduced regarding the analysis of Multiple Sequence Alignments (MSA), representing aligned data defined over a finite alphabet of symbols. The framework is designed to produce a block decomposition of an MSA, where each block
Externí odkaz:
http://arxiv.org/abs/2401.04827
Many stochastic continuous-state dynamical systems can be modeled as probabilistic programs with nonlinear non-polynomial updates in non-nested loops. We present two methods, one approximate and one exact, to automatically compute, without sampling,
Externí odkaz:
http://arxiv.org/abs/2306.07072
Probabilistic loops can be employed to implement and to model different processes ranging from software to cyber-physical systems. One main challenge is how to automatically estimate the distribution of the underlying continuous random variables symb
Externí odkaz:
http://arxiv.org/abs/2304.09094
We propose a novel mathematical paradigm for the study of genetic variation in sequence alignments. This framework originates from extending the notion of pairwise relations, upon which current analysis is based on, to k-ary dissimilarity. This dissi
Externí odkaz:
http://arxiv.org/abs/2210.15029
We provide a bottom up construction of torsion generators for weighted homology of a weighted complex over a discrete valuation ring $R=\mathbb{F}[[\pi]]$. This is achieved by starting from a basis for classical homology of the $n$-th skeleton for th
Externí odkaz:
http://arxiv.org/abs/2206.04612
Autor:
Karimi, Ahmad, Moosbrugger, Marcel, Stankovič, Miroslav, Kovács, Laura, Bartocci, Ezio, Bura, Efstathia
We present an algorithmic approach to estimate the value distributions of random variables of probabilistic loops whose statistical moments are (partially) known. Based on these moments, we apply two statistical methods, Maximum Entropy and Gram-Char
Externí odkaz:
http://arxiv.org/abs/2205.07639