Zobrazeno 1 - 10
of 12 628
pro vyhledávání: '"Gelb BE"'
We propose an entropy-stable conservative flux form neural network (CFN) that integrates classical numerical conservation laws into a data-driven framework using the entropy-stable, second-order, and non-oscillatory Kurganov-Tadmor (KT) scheme. The p
Externí odkaz:
http://arxiv.org/abs/2411.01746
We present a quantum alternating operator ansatz (QAOA$^+$) that solves a class of linearly constrained optimization problems by evolving a quantum state within a Hilbert subspace of feasible problem solutions. Our main focus is on a class of problem
Externí odkaz:
http://arxiv.org/abs/2409.18829
Autor:
Li, Tongtong, Gelb, Anne
Fourier partial sum approximations yield exponential accuracy for smooth and periodic functions, but produce the infamous Gibbs phenomenon for non-periodic ones. Spectral reprojection resolves the Gibbs phenomenon by projecting the Fourier partial su
Externí odkaz:
http://arxiv.org/abs/2406.15977
Recovering complex-valued image recovery from noisy indirect data is important in applications such as ultrasound imaging and synthetic aperture radar. While there are many effective algorithms to recover point estimates of the magnitude, fewer are d
Externí odkaz:
http://arxiv.org/abs/2403.16992
Bayesian hierarchical models can provide efficient algorithms for finding sparse solutions to ill-posed inverse problems. The models typically comprise a conditionally Gaussian prior model for the unknown which is augmented by a generalized gamma hyp
Externí odkaz:
http://arxiv.org/abs/2402.16623
We present a framework designed to learn the underlying dynamics between two images observed at consecutive time steps. The complex nature of image data and the lack of temporal information pose significant challenges in capturing the unique evolving
Externí odkaz:
http://arxiv.org/abs/2310.09495
Ensemble transform Kalman filtering (ETKF) data assimilation is often used to combine available observations with numerical simulations to obtain statistically accurate and reliable state representations in dynamical systems. However, it is well know
Externí odkaz:
http://arxiv.org/abs/2309.02585
Autor:
Glaubitz, Jan, Gelb, Anne
Publikováno v:
SIAM-ASA J Uncertain Quantif 12(2), 2024
We present a hierarchical Bayesian learning approach to infer jointly sparse parameter vectors from multiple measurement vectors. Our model uses separate conditionally Gaussian priors for each parameter vector and common gamma-distributed hyper-param
Externí odkaz:
http://arxiv.org/abs/2303.16954
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-19 (2024)
Abstract Assessing the social and economic vulnerability of populations within a given area is essential for conducting environmental equity evaluations and devising effective public policies to mitigate disparities. However, prevailing indicators us
Externí odkaz:
https://doaj.org/article/ca08c92096d44275960429d25e8eadf9
Autor:
K. Singh-Smith, L. Sprague Martinez, M. Eliasziw, S. Lerman Ginzburg, N. Hudda, GM. Betz, A. Gurcan, T. Vazquez-Dodero, A. Mertl, W. Goldstein-Gelb, W. Zamore, D. Brugge
Publikováno v:
Trials, Vol 25, Iss 1, Pp 1-8 (2024)
Abstract Background and aim Traffic-related ultrafine particle pollution near highways is associated with adverse health. Reducing exposure by use of portable air purifiers in homes is one approach to reducing this risk. However, the reaction of resi
Externí odkaz:
https://doaj.org/article/e9a2a3192e2d4a739a54b628a696b975