Zobrazeno 1 - 10
of 358 599
pro vyhledávání: '"An, Andy"'
The broad sense genetic heritability, which quantifies the total proportion of phenotypic variation in a population due to genetic factors, is crucial for understanding trait inheritance. While many existing methods focus on estimating narrow sense h
Externí odkaz:
http://arxiv.org/abs/2411.00346
Autor:
Rosado, Rodrigo Córdova, Goulding, Andy D., Greene, Jenny E., Kokron, Nickolas, Strauss, Michael A., Hahn, ChangHoon, Petter, Grayson C., Hickox, Ryan C.
An unresolved question in studies of active galactic nuclei (AGN) is whether their different classes probe different evolutionary stages of black hole--host galaxy interaction. We present the projected two-point cross-correlation function between a s
Externí odkaz:
http://arxiv.org/abs/2410.24020
Autor:
Lankford, Séamus, Way, Andy
In an evolving landscape of crisis communication, the need for robust and adaptable Machine Translation (MT) systems is more pressing than ever, particularly for low-resource languages. This study presents a comprehensive exploration of leveraging La
Externí odkaz:
http://arxiv.org/abs/2410.23890
Ontologies are useful for automatic machine processing of domain knowledge as they represent it in a structured format. Yet, constructing ontologies requires substantial manual effort. To automate part of this process, large language models (LLMs) ha
Externí odkaz:
http://arxiv.org/abs/2410.23584
Autor:
Yeung, Michael C. H., Ponti, Gabriele, Freyberg, Michael J., Dennerl, Konrad, Liu, Teng, Locatelli, Nicola, Mayer, Martin G. F., Sanders, Jeremy S., Sasaki, Manami, Strong, Andy, Zhang, Yi, Zheng, Xueying, Gatuzz, Efrain
Publikováno v:
A&A (2024), 690, A399
The SRG/eROSITA All-Sky Surveys (eRASSs) combine the advantages of complete sky coverage and the energy resolution provided by the charge couple device and offer the most holistic and detailed view of the diffuse soft X-ray background (SXRB) to date.
Externí odkaz:
http://arxiv.org/abs/2410.23345
Autor:
Sankar, Swetha, Zakamska, Nadia L., Rupke, David S. N., Liu, Weizhe, Wylezalek, Dominika, Veilleux, Sylvain, Bertemes, Caroline, Diachenko, Nadiia, Chen, Yu-Ching, Ishikawa, Yuzo, Vayner, Andrey, Nesvadba, Nicole P. H., Liu, Guilin, Goulding, Andy D., Lutz, Dieter
Red quasars, often associated with potent [OIII] outflows on both galactic and circumgalactic scales, may play a pivotal role in galactic evolution and black hole feedback. In this work, we explore the [FeII] emission in one such quasar at redshift z
Externí odkaz:
http://arxiv.org/abs/2410.22470
Autor:
Lin, Spencer, Rizk, Basem, Jun, Miru, Artze, Andy, Sullivan, Caitlin, Mozgai, Sharon, Fisher, Scott
The rise in capability and ubiquity of generative artificial intelligence (AI) technologies has enabled its application to the field of Socially Interactive Agents (SIAs). Despite rising interest in modern AI-powered components used for real-time SIA
Externí odkaz:
http://arxiv.org/abs/2410.20116
Autor:
Ghosh, Anirban, Martin, Andy
In the low momentum regime, the Su-Schrieffer-Heeger (SSH) model's key characteristics are encapsulated by a Dirac-type Hamiltonian in continuum space, i.e., the localized states emerge at the boundaries. Building on this, we have developed an effect
Externí odkaz:
http://arxiv.org/abs/2410.19020
We apply a variational Ansatz based on neural networks to the problem of spin-$1/2$ fermions in a harmonic trap interacting through a short distance potential. We showed that standard machine learning techniques lead to a quick convergence to the gro
Externí odkaz:
http://arxiv.org/abs/2410.17383
In this work, we tackle the challenge of embedding realistic human personality traits into LLMs. Previous approaches have primarily focused on prompt-based methods that describe the behavior associated with the desired personality traits, suffering f
Externí odkaz:
http://arxiv.org/abs/2410.16491