Zobrazeno 1 - 10
of 162 056
pro vyhledávání: '"A. A. Wells"'
Human-AI cooperative classification (HAI-CC) approaches aim to develop hybrid intelligent systems that enhance decision-making in various high-stakes real-world scenarios by leveraging both human expertise and AI capabilities. Current HAI-CC methods
Externí odkaz:
http://arxiv.org/abs/2411.11976
Autor:
Masroor, Milad, Hassan, Tahir, Tian, Yu, Wells, Kevin, Rosewarne, David, Do, Thanh-Toan, Carneiro, Gustavo
Deep learning has achieved remarkable success in image classification and segmentation tasks. However, fairness concerns persist, as models often exhibit biases that disproportionately affect demographic groups defined by sensitive attributes such as
Externí odkaz:
http://arxiv.org/abs/2411.11939
Autor:
Gal, Ciprian, Ghosh, Chandan, Park, Sanghwa, Adhikari, Devi, Armstrong, David, Beminiwattha, Rakitha, Camsonne, Alexandre, Chandrasena, Shashini, Dalton, Mark, Deshpande, Abhay, Gaskell, Dave, Higinbotham, Douglas, Horowitz, Charles J., King, Paul, Kumar, Krishna, Kutz, Tyler, Mammei, Juliette, McNulty, Dustin, Michaels, Robert, Palatchi, Caryn, Panta, Anil, Paschke, Kent, Pitt, Mark, Sen, Arindam, Simicevic, Neven, Weliyanga, Lasitha, Wells, Steven P.
We propose to measure the beam normal single spin asymmetry in elastic scattering of transversely polarized electron from target nuclei with 12 $\leq Z \leq$ 90 at Q$^2$ = 0.0092 GeV$^2$ to study its nuclear dependence. While the theoretical calculat
Externí odkaz:
http://arxiv.org/abs/2411.10267
Autor:
de Haan, Tijmen, Ting, Yuan-Sen, Ghosal, Tirthankar, Nguyen, Tuan Dung, Accomazzi, Alberto, Wells, Azton, Ramachandra, Nesar, Pan, Rui, Sun, Zechang
AstroSage-Llama-3.1-8B is a domain-specialized natural-language AI assistant tailored for research in astronomy, astrophysics, and cosmology. Trained on the complete collection of astronomy-related arXiv papers from 2007-2024 along with millions of s
Externí odkaz:
http://arxiv.org/abs/2411.09012
Autor:
Dawid, Richard, Wells, James D.
We carry out a quantitative Bayesian analysis of the evolution of credences in low energy supersymmetry (SUSY) in light of the most relevant empirical data. The analysis is based on the assumption that observers apply principles of optimism or pessim
Externí odkaz:
http://arxiv.org/abs/2411.03232
We extend prior work comparing linear multilevel models (MLM) and fixed effect (FE) models to the generalized linear model (GLM) setting, where the coefficient on a treatment variable is of primary interest. This leads to three key insights. (i) Firs
Externí odkaz:
http://arxiv.org/abs/2411.01723
Autor:
Bigi, Chiara, Dürrnagel, Matteo, Klebl, Lennart, Consiglio, Armando, Pokharel, Ganesh, Bertran, Francois, Févre, Patrick Le, Jaouen, Thomas, Tchouekem, Hulerich C., Turban, Pascal, De Vita, Alessandro, Miwa, Jill A., Wells, Justin W., Oh, Dongjin, Comin, Riccardo, Thomale, Ronny, Zeljkovic, Ilija, Ortiz, Brenden R., Wilson, Stephen D., Sangiovanni, Giorgio, Mazzola, Federico, Di Sante, Domenico
Among many-body instabilities in correlated quantum systems, electronic nematicity, defined by the spontaneous breaking of rotational symmetry, has emerged as a critical phenomenon, particularly within high-temperature superconductors. Recently, this
Externí odkaz:
http://arxiv.org/abs/2410.22929
Autor:
Dorent, Reuben, Haouchine, Nazim, Golby, Alexandra, Frisken, Sarah, Kapur, Tina, Wells, William
We propose a deep mixture of multimodal hierarchical variational auto-encoders called MMHVAE that synthesizes missing images from observed images in different modalities. MMHVAE's design focuses on tackling four challenges: (i) creating a complex lat
Externí odkaz:
http://arxiv.org/abs/2410.19378
Autor:
Strand, Frode S., Cooil, Simon P., Campbell, Quinn T., Flounders, John J., Røst, Håkon I., Åsland, Anna Cecilie, Skarpeid, Alv Johan, Stalsberg, Marte P., Hu, Jinbang, Bakkelund, Johannes, Bjelland, Victoria, Preobrajenski, Alexei B., Li, Zheshen, Bianchi, Marco, Miwa, Jill A., Wells, Justin W.
We investigate the electronic structure of high-density layers of Sb dopants in a silicon host, so-called Si:Sb $\delta$-layers. We show that, in spite of the known challenges in producing highly confined Sb $\delta$-layers, sufficient confinement is
Externí odkaz:
http://arxiv.org/abs/2410.17387
Large generative models (LMs) are increasingly being considered for high-stakes decision-making. This work considers how such models compare to humans and predictive AI models on a specific case of recidivism prediction. We combine three datasets --
Externí odkaz:
http://arxiv.org/abs/2410.15471