Zobrazeno 1 - 10
of 6 285
pro vyhledávání: '"A Chehab"'
Autor:
Trad, Fouad, Chehab, Ali
With the rise of sophisticated phishing attacks, there is a growing need for effective and economical detection solutions. This paper explores the use of large multimodal agents, specifically Gemini 1.5 Flash and GPT-4o mini, to analyze both URLs and
Externí odkaz:
http://arxiv.org/abs/2412.02301
Autor:
Trad, Fouad, Chehab, Ali
The effectiveness of Large Language Models (LLMs) significantly relies on the quality of the prompts they receive. However, even when processing identical prompts, LLMs can yield varying outcomes due to differences in their training processes. To lev
Externí odkaz:
http://arxiv.org/abs/2412.00166
Geometric tempering is a popular approach to sampling from challenging multi-modal probability distributions by instead sampling from a sequence of distributions which interpolate, using the geometric mean, between an easier proposal distribution and
Externí odkaz:
http://arxiv.org/abs/2410.09697
Autor:
Chehab, Omar, Korba, Anna
Diffusion models are state-of-the-art methods in generative modeling when samples from a target probability distribution are available, and can be efficiently sampled, using score matching to estimate score vectors guiding a Langevin process. However
Externí odkaz:
http://arxiv.org/abs/2406.14040
Autor:
Trad, Fouad, Chehab, Ali
The success of Large Language Models (LLMs) has led to a parallel rise in the development of Large Multimodal Models (LMMs), which have begun to transform a variety of applications. These sophisticated multimodal models are designed to interpret and
Externí odkaz:
http://arxiv.org/abs/2403.17787
Autor:
Soldani, Mattia, Alharthi, Fahad, Bandiera, Laura, Canale, Nicola, Cavoto, Gianluca, Chaikovska, Iryna, Chehab, Robert, Guidi, Vincenzo, Haurylavets, Viktar, Mazzolari, Andrea, Negrello, Riccardo, Paternò, Gianfranco, Romagnoni, Marco, Sytov, Alexei, Tikhomirov, Victor
Publikováno v:
Nucl. Instrum. Methods Phys. Res. A 1058, 168828 (2024)
It has been known since decades that the alignment of a beam of high-energy electrons with particular crystal directions involves a significant increase of bremsstrahlung radiation emission. This enhancement lies at the conceptual foundation of innov
Externí odkaz:
http://arxiv.org/abs/2401.03886
Recent research has developed several Monte Carlo methods for estimating the normalization constant (partition function) based on the idea of annealing. This means sampling successively from a path of distributions that interpolate between a tractabl
Externí odkaz:
http://arxiv.org/abs/2310.03902
Autor:
Sita Manasa Susarla, Oliver Fiehn, Ines Thiele, Amanda L. Ngo, Dinesh K. Barupal, Rana F. Chehab, Assiamira Ferrara, Yeyi Zhu
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-12 (2024)
Abstract Background Pre-diagnostic disturbances in the microbiome-derived metabolome have been associated with an increased risk of diabetes in non-pregnant populations. However, the roles of microbiome-derived metabolites, the end-products of microb
Externí odkaz:
https://doaj.org/article/60c3692470764fde96e3764b7f3c0e9c
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-17 (2024)
Abstract Background Nearly three in four U.S. medical students graduate with debt in six-figure dollar amounts which impairs students emotionally and academically and impacts their career choices and lives long after graduation. Schools have yet to d
Externí odkaz:
https://doaj.org/article/4643eacd6eb148bcb612b98ff4531142
Autor:
Adham CHEHAB, Yibo XIAO
Publikováno v:
Management and Economics Review, Vol 9, Iss 2, Pp 374-389 (2024)
The purpose of this paper was to evaluate the determinants of the Small Business Administration (SBA) gross loan approval in a US county. Our main research variable was a county’s social capital. We hypothesised that the higher the county’s socia
Externí odkaz:
https://doaj.org/article/5715ab6949614e698e7141d091498195