Zobrazeno 1 - 10
of 13 177
pro vyhledávání: '"P Lindgren"'
Autor:
Lindgren, Erik, Takahashi, Jin
We consider the evolutionary $p$-Laplace equation in $\mathbb{R}^n$. For $p>n$, we construct a solution $u$ with a moving gradient singularity in the sense that $|\nabla u(x,t)|\to \infty$ for each $t$ as $x\to\xi(t)$, where $\xi:[0,\infty)\to\mathbb
Externí odkaz:
http://arxiv.org/abs/2411.00993
Autor:
Khan, Asir Intisar, Ramdas, Akash, Lindgren, Emily, Kim, Hyun-Mi, Won, Byoungjun, Wu, Xiangjin, Saraswat, Krishna, Chen, Ching-Tzu, Suzuki, Yuri, da Jornada, Felipe H., Oh, Il-Kwon, Pop, Eric
The electrical resistivity of conventional metals, such as copper, is known to increase in thinner films due to electron-surface scattering, limiting the performance of metals in nanoscale electronics. Here, we uncover a reduction of resistivity with
Externí odkaz:
http://arxiv.org/abs/2409.17337
Gaussian random fields (GFs) are fundamental tools in spatial modeling and can be represented flexibly and efficiently as solutions to stochastic partial differential equations (SPDEs). The SPDEs depend on specific parameters, which enforce various f
Externí odkaz:
http://arxiv.org/abs/2409.02331
Autor:
Ducellier, Ariane, Hsu, Alexander, Kendrick, Parkes, Gustafson, Bill, Dwyer-Lindgren, Laura, Murray, Christopher, Zheng, Peng, Aravkin, Aleksandr
We consider statistical inference problems under uncertain equality constraints, and provide asymptotically valid uncertainty estimates for inferred parameters. The proposed approach leverages the implicit function theorem and primal-dual optimality
Externí odkaz:
http://arxiv.org/abs/2407.20520
This paper investigates the reliability of explanations generated by large language models (LLMs) when prompted to explain their previous output. We evaluate two kinds of such self-explanations - extractive and counterfactual - using three state-of-t
Externí odkaz:
http://arxiv.org/abs/2407.14487
The integrated nested Laplace approximation (INLA) method has become a popular approach for computationally efficient approximate Bayesian computation. In particular, by leveraging sparsity in random effect precision matrices, INLA is commonly used i
Externí odkaz:
http://arxiv.org/abs/2407.00791
In this paper, we are concerned with the H\"older regularity for solutions of the nonlocal evolutionary equation $$ \partial_t u+(-\Delta_p)^s u = 0. $$ Here, $(-\Delta_p)^s$ is the fractional $p$-Laplacian, $0
Externí odkaz:
http://arxiv.org/abs/2404.16640
This work aims to combine two primary meteorological data sources in the Philippines: data from a sparse network of weather stations and outcomes of a numerical weather prediction model. To this end, we propose a data fusion model which is primarily
Externí odkaz:
http://arxiv.org/abs/2404.08533
Contaminated or adulterated food poses a substantial risk to human health. Given sets of labeled web texts for training, Machine Learning and Natural Language Processing can be applied to automatically detect such risks. We publish a dataset of 7,546
Externí odkaz:
http://arxiv.org/abs/2403.11904
SCANIA Component X Dataset: A Real-World Multivariate Time Series Dataset for Predictive Maintenance
This paper presents a description of a real-world, multivariate time series dataset collected from an anonymized engine component (called Component X) of a fleet of trucks from SCANIA, Sweden. This dataset includes diverse variables capturing detaile
Externí odkaz:
http://arxiv.org/abs/2401.15199