1.9k citations
- University of ArizonaUS47 papers
- Yale UniversityUS30 papers
- Centre National de la Recherche ScientifiqueFR28 papers
- Columbia UniversityUS28 papers
- University of ChicagoUS28 papers
- Sorbonne UniversitéFR24 papers
- Massachusetts Institute of TechnologyUS23 papers
- University of Colorado BoulderUS23 papers
- Cornell UniversityUS22 papers
- Princeton UniversityUS22 papers
- University College LondonGB21 papers
- University of the WitwatersrandZA21 papers
31 papers · 1 filter
Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data
Zongyu Dai, Zhiqi Bu, Qi Long
Missing data are ubiquitous in real world applications and, if not adequately handled, may lead to the loss of information and biased findings in downstream analysis. Particularly,…
Reliable extrapolation of deep neural operators informed by physics or sparse observations
Min Zhu, Handi Zhang, Anran Jiao +2
Deep neural operators can learn nonlinear mappings between infinite-dimensional function spaces via deep neural networks. As promising surrogate solvers of partial differential equ…
QuadConv: Quadrature-Based Convolutions with Applications to Non-Uniform PDE Data Compression
Kevin Doherty, Cooper Simpson, Stephen Becker +1
We present a new convolution layer for deep learning architectures which we call QuadConv -- an approximation to continuous convolution via quadrature. Our operator is developed ex…
Two novel families of multiscale staggered patch schemes efficiently simulate large-scale, weakly damped, linear waves
J. Divahar, A. J. Roberts, Trent W. Mattner +2
Many multiscale wave systems exhibit macroscale emergent behaviour, for example, the fluid dynamics of floods and tsunamis. Resolving a large range of spatial scales typically requ…
On the linear convergence of additive Schwarz methods for the -Laplacian
Young-Ju Lee, Jongho Park
We consider additive Schwarz methods for boundary value problems involving the -Laplacian. While existing theoretical estimates suggest a sublinear convergence rate for these me…
A Bayesian analysis of the time through the order penalty in baseball
Ryan S. Brill, Sameer K. Deshpande, Abraham J. Wyner
As a baseball game progresses, batters appear to perform better the more times they face a particular pitcher. The apparent drop-off in pitcher performance from one time through th…