Zobrazeno 1 - 10
of 25 533
pro vyhledávání: '"P A, LITTLE"'
Autor:
Bhusal, Aneel, Little, Todd D.
This study introduces Bhirkuti's Test of Bias Acceptance, a systematic graphical framework for evaluating bias and determining its acceptability under varying experimental conditions. Absolute Relative Bias (ARB), while useful for understanding bias,
Externí odkaz:
http://arxiv.org/abs/2411.18481
Autor:
Yang, Xinyu, Zhu, Xiaotian, Murray, Caitlin, Paryoonyong, Chawaphon, Xu, Xingyuan, Tan, Mengxi, Morandotti, Roberto, Little, Brent E., Moss, David J., Chu, Sai T., Corcoran, Bill, Su, Donglin
The deterministic generation of robust soliton comb has significant meaning for the optical frequency combs to be widely used in various applications. As a novel form of microcomb, Soliton crystal holds the advantages of easy generation, high convers
Externí odkaz:
http://arxiv.org/abs/2411.17069
In this study, we conduct a parameter error analysis for the 3D modified Leray-$\alpha$ model using both analytical and numerical approaches. We first prove the global well-posedness and continuous dependence of initial data for the assimilated syste
Externí odkaz:
http://arxiv.org/abs/2411.16324
In this work we establish under certain hypotheses the $N \to +\infty$ asymptotic expansion of integrals of the form $$\mathcal{Z}_{N,\Gamma}[V] \, = \, \int_{\Gamma^N} \prod_{ a < b}^{N}(z_a - z_b)^\beta \, \prod_{k=1}^{N} \mathrm{e}^{ - N \beta V(z
Externí odkaz:
http://arxiv.org/abs/2411.10610
Autor:
Dominé, Laura, Biswas, Ankit, Cloete, Richard, Delacroix, Alex, Fedorenko, Andriy, Jacaruso, Lucas, Kelderman, Ezra, Keto, Eric, Little, Sarah, Loeb, Abraham, Masson, Eric, Prior, Mike, Schultz, Forrest, Szenher, Matthew, Watters, Wes, White, Abby
To date there is little publicly available scientific data on Unidentified Aerial Phenomena (UAP) whose properties and kinematics purportedly reside outside the performance envelope of known phenomena. To address this deficiency, the Galileo Project
Externí odkaz:
http://arxiv.org/abs/2411.07956
Autor:
Mao, Jianqiao, Little, Max A.
A major limitation of machine learning (ML) prediction models is that they recover associational, rather than causal, predictive relationships between variables. In high-stakes automation applications of ML this is problematic, as the model often lea
Externí odkaz:
http://arxiv.org/abs/2410.20057
Text-To-Image (TTI) Diffusion Models such as DALL-E and Stable Diffusion are capable of generating images from text prompts. However, they have been shown to perpetuate gender stereotypes. These models process data internally in multiple stages and e
Externí odkaz:
http://arxiv.org/abs/2410.07884
Autor:
Khallouf, C., Hoang, V. T., Fanjoux, G., Little, B., Chu, S. T., Moss, D. J., Morandotti, R., Dudley, J. M., Wetzel, B., Sylvestre, T.
Recent advances in supercontinuum light generation have been remarkable, particularly in the context of highly nonlinear photonic integrated waveguides. In this study, we thoroughly investigate supercontinuum (SC) generation in high-index doped silic
Externí odkaz:
http://arxiv.org/abs/2410.06817
With the advent of Large Language Models (LLMs) and Multimodal (Visio-lingual) LLMs, a flurry of research has emerged, analyzing the performance of such models across a diverse array of tasks. While most studies focus on evaluating the capabilities o
Externí odkaz:
http://arxiv.org/abs/2410.04778
In this study, we conduct parameter estimation analysis on a data assimilation algorithm for two turbulence models: the simplified Bardina model and the Navier-Stokes-{\alpha} model. Our approach involves creating an approximate solution for the turb
Externí odkaz:
http://arxiv.org/abs/2409.03042