Prasanth B. Nair - researchr alias

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Viewing Publication 1 - 22 from 22

2023

Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEsKevin Course, Prasanth B. Nair. nips 2023: [doi]

State estimation of a physical system with unknown governing equationsKevin Course, Prasanth B. Nair. nature, 622(7982):261-267, 2023. [doi]

2020

Weak Form Generalized Hamiltonian LearningKevin Course, Trefor W. Evans, Prasanth B. Nair. nips 2020: [doi]

2019

Some greedy algorithms for sparse polynomial chaos expansionsRicardo Baptista, Valentin Stolbunov, Prasanth B. Nair. jcphy, 387:303-325, 2019. [doi]

2018

Exploiting Structure for Fast Kernel LearningTrefor W. Evans, Prasanth B. Nair. sdm 2018: 414-422 [doi]

Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF)Trefor W. Evans, Prasanth B. Nair. icml 2018: 1416-1425 [doi]

Sparse radial basis function approximation with spatially variable shape parametersValentin Stolbunov, Prasanth B. Nair. amc, 330:170-184, 2018. [doi]

2009

Voxel Based Adaptive Meshless Method for Cardiac Electrophysiology SimulationPhani Chinchapatnam, Kawal S. Rhode, Matthew Ginks, Prasanth B. Nair, Reza Razavi, Simon R. Arridge, Maxime Sermesant. fimh 2009: 182-190 [doi]

2008

Predictive Haemodynamics in a One-Dimensional Human Carotid Artery Bifurcation. Part II: Application to Graft DesignVijaya B. Kolachalama, Neil W. Bressloff, Prasanth B. Nair, Clifford P. Shearman. tbe, 55(3):1176-1184, 2008. [doi]

Hybrid evolutionary algorithm with Hermite radial basis function interpolants for computationally expensive adjoint solversYew-Soon Ong, Kai Yew Lum, Prasanth B. Nair. coap, 39(1):97-119, 2008. [doi]

Genetic Programming Approaches for Solving Elliptic Partial Differential EquationsAndras Sobester, Prasanth B. Nair, Andy J. Keane. tec, 12(4):469-478, 2008. [doi]

2007

2006

Constructing a speculative kernel machine for pattern classificationArindam Choudhury, Prasanth B. Nair, Andy J. Keane. NN, 19(1):84-89, 2006. [doi]

Max-min surrogate-assisted evolutionary algorithm for robust designYew-Soon Ong, Prasanth B. Nair, Kai Yew Lum. tec, 10(4):392-404, 2006. [doi]

2004

Hierarchical surrogate-assisted evolutionary optimization frameworkZongzhao Zhou, Yew-Soon Ong, Prasanth B. Nair. cec 2004: 1586-1593 [doi]

2003

Global convergence of unconstrained and bound constrained surrogate-assisted evolutionary search in aerodynamic shape designYew-Soon Ong, Kai Yew Lum, Prasanth B. Nair, Daming Shi 0001, Z. K. Zhang. cec 2003: 1856-1863 [doi]

2002

A Data Parallel Approach for Large-Scale Gaussian Process ModelingArindam Choudhury, Prasanth B. Nair, Andy J. Keane. sdm 2002: 95-111 [doi]

Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer KernelsPrasanth B. Nair, Arindam Choudhury, Andy J. Keane. jmlr, 3:781-801, 2002. [doi]

2001

Some Greedy Algorithms for Sparse Nonlinear RegressionPrasanth B. Nair, Arindam Choudhury, Andy J. Keane. icml 2001: 369-376

1999

Metamodeling Techniques For Evolutionary Optimization of Computationally Expensive Problems: Promises and LimitationsMohammed El-Beltagy, Prasanth B. Nair, Andy J. Keane. gecco 1999: 196-203

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