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Publication search results
found 16 matches
- 2023
- Webster Guan, Nauman Javed, Peter Lu:
NBA2Vec: Dense feature representations of NBA players. CoRR abs/2302.13386 (2023) - 2022
- Benjamin Fenelon, Lars A. Gjesteby, Webster Guan, Juhyuk Park, Kwanghun Chung, Laura J. Brattain:
A Scalable Inference Pipeline for 3D Axon Tracing Algorithms. HPEC 2022: 1-6 - Helen Sin Ee Chuo, Min Keng Tan, Kit Guan Lim, Lorita Angeline, Tienlei Wang, Kenneth Tze Kin Teo:
Local Traffic Network Formulation and Signalisation via Benchmark Webster Model. IICAIET 2022: 1-6 - 2020
- Adam Michaleas
, Lars Gjesteby, Michael P. Snyder, David Chavez, Meagan Ash, Matthew A. Melton, Damon G. Lamb, Sara N. Burke, Kevin J. Otto, Lee Kamentsky, Webster Guan, Kwanghun Chung, Laura J. Brattain:
Active Learning Pipeline for Brain Mapping in a High Performance Computing Environment. HPEC 2020: 1-6 - 2019
- Max D. Gunzburger, Michael Schneier, Clayton G. Webster, Guannan Zhang:
An Improved Discrete Least-Squares/Reduced-Basis Method for Parameterized Elliptic PDEs. J. Sci. Comput. 81(1): 76-91 (2019) - 2018
- John G. Webster, Bermans J. Iskandar, Joshua E. Medow, Christopher Luzzio, Xuan Zhang, Chenxiao Guan, Zhe Yang:
Intracranial Pressure Sensor and Valve to Control Hydrocephalus. EMBC 2018: 1-7 - 2017
- Guangchao Liang
, Nathan J. DeYonker
, Xuan Zhao, Charles Edwin Webster
:
Prediction of the reduction potential in transition-metal containing complexes: How expensive? For what accuracy? J. Comput. Chem. 38(28): 2430-2438 (2017) - Hoang Tran
, Clayton G. Webster
, Guannan Zhang
:
Analysis of quasi-optimal polynomial approximations for parameterized PDEs with deterministic and stochastic coefficients. Numerische Mathematik 137(2): 451-493 (2017) - 2016
- Nick C. Dexter
, Clayton G. Webster
, Guannan Zhang
:
Explicit cost bounds of stochastic Galerkin approximations for parameterized PDEs with random coefficients. Comput. Math. Appl. 71(11): 2231-2256 (2016) - Guannan Zhang
, Weidong Zhao
, Clayton G. Webster
, Max D. Gunzburger:
Numerical methods for a class of nonlocal diffusion problems with the use of backward SDEs. Comput. Math. Appl. 71(11): 2479-2496 (2016) - Diego Galindo, Peter Jantsch, Clayton G. Webster, Guannan Zhang:
Accelerating Stochastic Collocation Methods for Partial Differential Equations with Random Input Data. SIAM/ASA J. Uncertain. Quantification 4(1): 1111-1137 (2016) - Guannan Zhang
, Clayton G. Webster
, Max D. Gunzburger, John V. Burkardt:
Hyperspherical Sparse Approximation Techniques for High-Dimensional Discontinuity Detection. SIAM Rev. 58(3): 517-551 (2016) - 2015
- Guannan Zhang
, Clayton G. Webster
, Max D. Gunzburger, John V. Burkardt:
A Hyperspherical Adaptive Sparse-Grid Method for High-Dimensional Discontinuity Detection. SIAM J. Numer. Anal. 53(3): 1508-1536 (2015) - 2014
- Max D. Gunzburger, Clayton G. Webster
, Guannan Zhang
:
Stochastic finite element methods for partial differential equations with random input data. Acta Numer. 23: 521-650 (2014) - Clayton G. Webster
, Guannan Zhang
, Max D. Gunzburger:
An adaptive sparse-grid iterative ensemble Kalman filter approach for parameter field estimation. Int. J. Comput. Math. 91(4): 798-817 (2014) - Feng Bao, Yanzhao Cao, Clayton G. Webster
, Guannan Zhang
:
A Hybrid Sparse-Grid Approach for Nonlinear Filtering Problems Based on Adaptive-Domain of the Zakai Equation Approximations. SIAM/ASA J. Uncertain. Quantification 2(1): 784-804 (2014)
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