Zobrazeno 1 - 10
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pro vyhledávání: '"Henriquez, P."'
In this note, we consider a class of composition operators on Lebesgue spaces with variable exponents over metric measure spaces. Taking advantage of the compatibility between the metric-measurable structure and the regularity properties of the varia
Externí odkaz:
http://arxiv.org/abs/2410.22509
Autor:
Carlini, Nicholas, Chávez-Saab, Jorge, Hambitzer, Anna, Rodríguez-Henríquez, Francisco, Shamir, Adi
Deep neural networks (DNNs) are valuable assets, yet their public accessibility raises security concerns about parameter extraction by malicious actors. Recent work by Carlini et al. (crypto'20) and Canales-Mart\'inez et al. (eurocrypt'24) has drawn
Externí odkaz:
http://arxiv.org/abs/2410.05750
In this work, we consider the propagation of acoustic waves in unbounded domains characterized by a constant wavenumber, except possibly in a bounded region. The geometry of this inhomogeneity is assumed to be uncertain, and we are particularly inter
Externí odkaz:
http://arxiv.org/abs/2407.11512
We investigate reduced-order models for acoustic and electromagnetic wave problems in parametrically defined domains. The parameter-to-solution maps are approximated following the so-called Galerkin POD-NN method, which combines the construction of a
Externí odkaz:
http://arxiv.org/abs/2406.13567
Autor:
Feng, Jie, Muralidharan, Manasa, Henriquez-Auba, Rodrigo, Hidalgo-Gonzalez, Patricia, Shi, Yuanyuan
The increasing penetration of converter-based renewable generation has resulted in faster frequency dynamics, and low and variable inertia. As a result, there is a need for frequency control methods that are able to stabilize a disturbance in the pow
Externí odkaz:
http://arxiv.org/abs/2405.20489
Autor:
Henriquez, Fernando, Hesthaven, Jan S.
We extend our previous work [F. Henr\'iquez and J. S. Hesthaven, arXiv:2403.02847 (2024)] to the linear, second-order wave equation in bounded domains. This technique, referred to as the Laplace Transform Reduced Basis (LT-RB) method, uses two widely
Externí odkaz:
http://arxiv.org/abs/2405.19896
Autor:
Henríquez, Fernando, Schwab, Christoph
We obtain wavenumber-robust error bounds for the deep neural network (DNN) emulation of the solution to the time-harmonic, sound-soft acoustic scattering problem in the exterior of a smooth, convex obstacle in two physical dimensions. The error bound
Externí odkaz:
http://arxiv.org/abs/2405.12624
The presence of pre-main-sequence and low-mass stars, combined with the new data from Gaia DR3 and with 2MASS, significantly enhances the relevance of studying this cluster. We aim to accurately identify cluster members, determine fundamental paramet
Externí odkaz:
http://arxiv.org/abs/2405.09145
Autor:
Bossart, Matthew, Lara, Jose Daniel, Roberts, Ciaran, Henriquez-Auba, Rodrigo, Callaway, Duncan, Hodge, Bri-Mathias
The dominant paradigm for power system dynamic simulation is to build system-level simulations by combining physics-based models of individual components. The sheer size of the system along with the rapid integration of inverter-based resources exace
Externí odkaz:
http://arxiv.org/abs/2405.06827
Autor:
Henríquez, Fernando, Pinto, José
We consider the elastic scattering problem by multiple disjoint arcs or \emph{cracks} in two spatial dimensions. A key aspect of our approach lies in the parametric description of each arc's shape, which is controlled by a potentially high-dimensiona
Externí odkaz:
http://arxiv.org/abs/2403.10933