Akil Narayan 0001 - researchr alias

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Viewing Publication 1 - 33 from 33

2023

UncertainSCI: Uncertainty quantification for computational models in biomedicine and bioengineeringAkil Narayan 0001, Zexin Liu, Jake A. Bergquist, Chantel Charlebois, Sumientra Rampersad, Lindsay C. Rupp, Dana H. Brooks, Dan White, Jess D. Tate, Rob S. MacLeod. cbm, 152:106407, 2023. [doi]

Learning Proper Orthogonal Decomposition of Complex Dynamics Using Heavy-ball Neural ODEsJustin Baker, Elena Cherkaev, Akil Narayan 0001, Bao Wang. jscic, 95(2):54, May 2023. [doi]

Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural NetworksShibo Li, Michael Penwarden, Yiming Xu, Conor Tillinghast, Akil Narayan 0001, Mike Kirby, Shandian Zhe. icml 2023: 19855-19881 [doi]

Meta-Learning with Adjoint MethodsShibo Li, Zheng Wang, Akil Narayan 0001, Robert M. Kirby, Shandian Zhe. aistats 2023: 7239-7251 [doi]

A Stieltjes Algorithm for Generating Multivariate Orthogonal PolynomialsZexin Liu, Akil Narayan 0001. siamsc, 45(3):1125-1147, June 2023. [doi]

A metalearning approach for Physics-Informed Neural Networks (PINNs): Application to parameterized PDEsMichael Penwarden, Shandian Zhe, Akil Narayan 0001, Robert M. Kirby. jcphy, 477:111912, March 2023. [doi]

UncertainSCI: A Python Package for Noninvasive Parametric Uncertainty Quantification of Simulation PipelinesJess D. Tate, Zexin Liu, Jake A. Bergquist, Sumientra Rampersad, Dan White, Chantel Charlebois, Lindsay C. Rupp, Dana H. Brooks, Rob S. MacLeod, Akil Narayan 0001. jossw, 8(90):4249, October 2023. [doi]

Randomized weakly admissible meshesYiming Xu, Akil Narayan 0001. jat, 285:105835, January 2023. [doi]

Budget-limited distribution learning in multifidelity problemsYiming Xu, Akil Narayan 0001. nm, 153(1):171-212, 2023. [doi]

Convex optimization-based structure-preserving filter for multidimensional finite element simulationsVidhi Zala, Akil Narayan 0001, Robert M. Kirby. jcphy, 492:112364, November 2023. [doi]

2022

Heart Position Uncertainty Quantification in the Inverse Problem of ECGIJake A. Bergquist, Lindsay C. Rupp, Anna Busatto, Ben Orkild, Brian Zenger, Wilson Good, Jaume Coll-Font, Akil Narayan 0001, Jess D. Tate, Dana H. Brooks, Rob S. MacLeod. cinc 2022: 1-4 [doi]

Hyperbolicity-preserving and well-balanced stochastic Galerkin method for two-dimensional shallow water equationsDihan Dai, Yekaterina Epshteyn, Akil Narayan 0001. jcphy, 452:110901, 2022. [doi]

Bayesian Continuous-Time Tucker DecompositionShikai Fang, Akil Narayan 0001, Robert M. Kirby, Shandian Zhe. icml 2022: 6235-6245 [doi]

Effect of Segmentation Uncertainty on the ECGI Inverse Problem Solution and Source LocalizationNarimane Gassa, Machteld J. Boonstra, Beata Ondrusova, Jana Svehlíková, Dana H. Brooks, Akil Narayan 0001, Ali S. Rababah, Peter M. van Dam, Rob S. MacLeod, Jess D. Tate, Nejib Zemzemi. cinc 2022: 1-4 [doi]

Uncertainty Quantification of Cardiac Position on Deep Graph Network ECGIXiajun Jiang, Jess Tate, Jake Bergquist, Akil Narayan 0001, Rob S. MacLeod, Linwei Wang. cinc 2022: 1-4 [doi]

Fast Barycentric-Based Evaluation Over Spectral/hp ElementsEdward Laughton, Vidhi Zala, Akil Narayan 0001, Robert M. Kirby, David Moxey. jscic, 90(2):78, 2022. [doi]

Adaptive density tracking by quadrature for stochastic differential equationsRyleigh A. Moore, Akil Narayan 0001. amc, 431:127298, 2022. [doi]

The Effect of Segmentation Variability in Forward ECG SimulationBeata Ondrusova, Machteld J. Boonstra, Jana Svehlíková, Dana H. Brooks, Peter M. van Dam, Ali S. Rababah, Akil Narayan 0001, Rob S. MacLeod, Nejib Zemzemi, Jess D. Tate. cinc 2022: 1-4 [doi]

Multifidelity modeling for Physics-Informed Neural Networks (PINNs)Michael Penwarden, Shandian Zhe, Akil Narayan 0001, Robert M. Kirby. jcphy, 451:110844, 2022. [doi]

Model Reduction of Linear Dynamical Systems via Balancing for Bayesian InferenceElizabeth Qian, Jemima M. Tabeart, Christopher Beattie, Serkan Gugercin, Jiahua Jiang, Peter R. Kramer, Akil Narayan 0001. jscic, 91(1):29, 2022. [doi]

Segmentation Uncertainty Quantification in Cardiac Propagation ModelsJess D. Tate, Nejib Zemzemi, Shireen Y. Elhabian, Beáta Ondrusová, Machteld J. Boonstra, Peter M. van Dam, Akil Narayan 0001, Dana H. Brooks, Rob S. MacLeod. cinc 2022: 1-4 [doi]

Nonparametric Embeddings of Sparse High-Order Interaction EventsZheng Wang, Yiming Xu, Conor Tillinghast, Shibo Li, Akil Narayan 0001, Shandian Zhe. icml 2022: 23237-23253 [doi]

A Bandit-Learning Approach to Multifidelity ApproximationYiming Xu, Vahid Keshavarzzadeh, Robert M. Kirby, Akil Narayan 0001. siamsc, 44(1):150, 2022. [doi]

2021

Optimal design for kernel interpolation: Applications to uncertainty quantificationAkil Narayan 0001, Liang Yan 0002, Tao Zhou. jcphy, 430:110094, 2021. [doi]

Uncertainty Quantification in Simulations of Myocardial IschemiaJake A. Bergquist, Brian Zenger, Lindsay C. Rupp, Akil Narayan 0001, Jess D. Tate, Rob S. MacLeod. cinc 2021: 1-4 [doi]

L1-Based Reduced Over Collocation and Hyper Reduction for Steady State and Time-Dependent Nonlinear EquationsYanlai Chen, Lijie Ji, Akil Narayan 0001, Zhenli Xu. jscic, 87(1):10, 2021. [doi]

Hyperbolicity-Preserving and Well-Balanced Stochastic Galerkin Method for Shallow Water EquationsDihan Dai, Yekaterina Epshteyn, Akil Narayan 0001. siamsc, 43(2), 2021. [doi]

Multilevel Designed Quadrature for Partial Differential Equations with Random InputsVahid Keshavarzzadeh, Robert M. Kirby, Akil Narayan 0001. siamsc, 43(2), 2021. [doi]

On the Computation of Recurrence Coefficients for Univariate Orthogonal PolynomialsZexin Liu, Akil Narayan 0001. jscic, 88(3):53, 2021. [doi]

Sensitivity analysis of random linear differential-algebraic equations using system normsRoland Pulch, Akil Narayan 0001, Tatjana Stykel. jcam, 397:113666, 2021. [doi]

The Role of Myocardial Fiber Direction in Epicardial Activation Patterns via Uncertainty QuantificationLindsay C. Rupp, Jake A. Bergquist, Brian Zenger, Karli Gillette, Akil Narayan 0001, Jess D. Tate, Gernot Plank, Rob S. MacLeod. cinc 2021: 1-4 [doi]

Uncertainty Quantification of the Effects of Segmentation Variability in ECGIJess D. Tate, Wilson W. Good, Nejib Zemzemi, Machteld Boonstra, Peter M. van Dam, Dana H. Brooks, Akil Narayan 0001, Rob S. MacLeod. fimh 2021: 515-522 [doi]

Structure-Preserving Nonlinear Filtering for Continuous and Discontinuous Galerkin Spectral/hp Element MethodsVidhi Zala, Robert M. Kirby, Akil Narayan 0001. siamsc, 43(6), 2021. [doi]

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