Prasanth B. Nair

34 papers A* 6A 3B 2Journal 22Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Data-driven stochastic reduced-order modeling of parametrized dynamical systems.
CoRR
Andrew F. Ilersich, Kevin Course, Prasanth B. Nair
2026 J jnl
Scalable Gaussian process modeling of parametrized spatio-temporal fields.
CoRR
Srinath Dama, Prasanth B. Nair
2025 J jnl
Learning Stochastic Multiscale Models.
CoRR
Andrew F. Ilersich, Prasanth B. Nair
2025 A* conf
Shifting Time: Time-series Forecasting with Khatri-Rao Neural Operators.
ICML
Srinath Dama, Kevin Course, Prasanth B. Nair
2023 A* conf
Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs.
NeurIPS
Kevin Course, Prasanth B. Nair
2023 J jnl
Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs.
CoRR
Kevin Course, Prasanth B. Nair
2023 J jnl
State estimation of a physical system with unknown governing equations.
Nat.
Kevin Course, Prasanth B. Nair
2021 J jnl
Weak Form Generalized Hamiltonian Learning.
CoRR
Kevin L. Course, Trefor W. Evans, Prasanth B. Nair
2020 J jnl
Quadruply Stochastic Gaussian Processes.
CoRR
Trefor W. Evans, Prasanth B. Nair
2020 A* conf
Weak Form Generalized Hamiltonian Learning.
NeurIPS
Kevin Course, Trefor W. Evans, Prasanth B. Nair
2019 J jnl
Some greedy algorithms for sparse polynomial chaos expansions.
J. Comput. Phys.
Ricardo Baptista, Valentin Stolbunov, Prasanth B. Nair
2018 A* conf
Discretely Relaxing Continuous Variables for tractable Variational Inference.
NeurIPS
Trefor W. Evans, Prasanth B. Nair
2018 J jnl
Discretely Relaxing Continuous Variables for tractable Variational Inference.
CoRR
Trefor W. Evans, Prasanth B. Nair
2018 A conf
Exploiting Structure for Fast Kernel Learning.
SDM
Trefor W. Evans, Prasanth B. Nair
2018 J jnl
Exploiting Structure for Fast Kernel Learning.
CoRR
Trefor W. Evans, Prasanth B. Nair
2018 A* conf
Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF).
ICML
Trefor W. Evans, Prasanth B. Nair
2018 J jnl
Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF).
CoRR
Trefor W. Evans, Prasanth B. Nair
2018 J jnl
Sparse radial basis function approximation with spatially variable shape parameters.
Appl. Math. Comput.
Valentin Stolbunov, Prasanth B. Nair
2016 J jnl
Manifold learning for the emulation of spatial fields from computational models.
J. Comput. Phys.
Wei W. Xing, Vasileios Triantafyllidis, Akeel A. Shah, Prasanth B. Nair, Nicholas Zabaras
2009 — conf
Voxel Based Adaptive Meshless Method for Cardiac Electrophysiology Simulation.
FIMH
Phani Chinchapatnam, Kawal S. Rhode, Matthew Ginks, Prasanth B. Nair, Reza Razavi, Simon R. Arridge, Maxime Sermesant
2008 J jnl
Genetic Programming Approaches for Solving Elliptic Partial Differential Equations.
IEEE Trans. Evol. Comput.
Andras Sobester, Prasanth B. Nair, Andy J. Keane
2008 J jnl
Hybrid evolutionary algorithm with Hermite radial basis function interpolants for computationally expensive adjoint solvers.
Comput. Optim. Appl.
Yew-Soon Ong, Kai Yew Lum, Prasanth B. Nair
2008 J jnl
Predictive Haemodynamics in a One-Dimensional Human Carotid Artery Bifurcation. Part II: Application to Graft Design.
IEEE Trans. Biomed. Eng.
Vijaya B. Kolachalama, Neil W. Bressloff, Prasanth B. Nair, Clifford P. Shearman
2007 J jnl
Combining Global and Local Surrogate Models to Accelerate Evolutionary Optimization.
IEEE Trans. Syst. Man Cybern. Part C
Zongzhao Zhou, Yew-Soon Ong, Prasanth B. Nair, Andy J. Keane, Kai Yew Lum
2007 J jnl
Pointwise uniformly convergent numerical treatment for the non-stationary Burger-Huxley equation using grid equidistribution.
Int. J. Comput. Math.
Phani Chinchapatnam, Kamal Djidjeli, Prasanth B. Nair
2007 J jnl
Predictive Haemodynamics in a One-Dimensional Human Carotid Artery Bifurcation. Part I: Application to Stent Design.
IEEE Trans. Biomed. Eng.
Vijaya B. Kolachalama, Neil W. Bressloff, Prasanth B. Nair, Clifford P. Shearman
2006 J jnl
Constructing a speculative kernel machine for pattern classification.
Neural Networks
Arindam Choudhury, Prasanth B. Nair, Andy J. Keane
2006 J jnl
Max-min surrogate-assisted evolutionary algorithm for robust design.
IEEE Trans. Evol. Comput.
Yew-Soon Ong, Prasanth B. Nair, Kai Yew Lum
2004 B conf
Hierarchical surrogate-assisted evolutionary optimization framework.
IEEE Congress on Evolutionary Computation
Zongzhao Zhou, Yew-Soon Ong, Prasanth B. Nair
2003 B conf
Global convergence of unconstrained and bound constrained surrogate-assisted evolutionary search in aerodynamic shape design.
IEEE Congress on Evolutionary Computation
Yew-Soon Ong, Kai Yew Lum, Prasanth B. Nair, Daming Shi, Z. K. Zhang
2002 A conf
A Data Parallel Approach for Large-Scale Gaussian Process Modeling.
SDM
Arindam Choudhury, Prasanth B. Nair, Andy J. Keane
2002 J jnl
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels.
J. Mach. Learn. Res.
Prasanth B. Nair, Arindam Choudhury, Andy J. Keane
2001 A* conf
Some Greedy Algorithms for Sparse Nonlinear Regression.
ICML
Prasanth B. Nair, Arindam Choudhury, Andy J. Keane
1999 A conf
Metamodeling Techniques For Evolutionary Optimization of Computationally Expensive Problems: Promises and Limitations.
GECCO
Mohammed El-Beltagy, Prasanth B. Nair, Andy J. Keane