Tan Bui-Thanh - RankMe

64 papers A 1Journal 61Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A New Look at the Ensemble Kalman Filter for Inverse Problems: Duality, Non-Asymptotic Analysis and Convergence Acceleration. CoRR C. G. Krishnanunni, Jonathan Wittmer, Tan Bui-Thanh, Quoc P. Nguyen
2026	J	`jnl`	From an Elementary Proof of Error Representation for Hermite Quadrature to a Rediscovery of Legendre Polynomials and Rodrigues Formula. CoRR Tan Bui-Thanh, Giancarlo Villatoro, C. G. Krishnanunni
2026	J	`jnl`	Generalization Limits of In-Context Operator Networks for Higher-Order Partial Differential Equations. CoRR Jamie Mahowald, Tan Bui-Thanh
2026	J	`jnl`	The AI Research Assistant: Promise, Peril, and a Proof of Concept. CoRR Tan Bui-Thanh
2026	J	`jnl`	Variance-Reduced Diffusion Sampling via Target Score Identity. CoRR Alois Duston, Tan Bui-Thanh
2025	J	`jnl`	A Constant Velocity Latent Dynamics Approach for Accelerating Simulation of Stiff Nonlinear Systems. CoRR William Cole Nockolds, C. G. Krishnanunni, Tan Bui-Thanh
2025	J	`jnl`	Improvements on uncertainty quantification with variational autoencoders. CoRR Andrea Tonini, Tan Bui-Thanh, Francesco Regazzoni, Luca Dede', Alfio Quarteroni
2025	J	`jnl`	Topological derivative approach for deep neural network architecture adaptation. CoRR C. G. Krishnanunni, Tan Bui-Thanh, Clint Dawson
2024	J	`jnl`	A model-constrained Discontinuous Galerkin Network (DGNet) for Compressible Euler Equations with Out-of-Distribution Generalization. CoRR Hai Van Nguyen, Jau-Uei Chen, William Cole Nockolds, Wesley Lao, Tan Bui-Thanh
2024	J	`jnl`	A unified hp-HDG framework for Friedrichs' PDE systems. Comput. Math. Appl. Jau-Uei Chen, Shinhoo Kang, Tan Bui-Thanh, John N. Shadid
2024	J	`jnl`	TAEN: A Model-Constrained Tikhonov Autoencoder Network for Forward and Inverse Problems. CoRR Hai V. Nguyen, Tan Bui-Thanh, Clint Dawson
2023	J	`jnl`	A Divergence-Free and H(div)-Conforming Embedded-Hybridized DG Method for the Incompressible Resistive MHD equations. CoRR Jau-Uei Chen, Tamás L. Horváth, Tan Bui-Thanh
2023	J	`jnl`	An autoencoder compression approach for accelerating large-scale inverse problems. CoRR Jonathan Wittmer, Jacob C. Badger, Hari Sundar, Tan Bui-Thanh
2023	J	`jnl`	On Unifying Randomized Methods For Inverse Problems. CoRR Jonathan Wittmer, C. G. Krishnanunni, Hai Van Nguyen, Tan Bui-Thanh
2023	J	`jnl`	Unified hp-HDG Frameworks for Friedrichs' PDE systems. CoRR Jau-Uei Chen, Shinhoo Kang, Tan Bui-Thanh, John N. Shadid
2022	J	`jnl`	A Model-Constrained Tangent Manifold Learning Approach for Dynamical Systems. CoRR Hai Van Nguyen, Tan Bui-Thanh
2022	J	`jnl`	Bridging and Improving Theoretical and Computational Electrical Impedance Tomography via Data Completion. SIAM J. Sci. Comput. Tan Bui-Thanh, Qin Li, Leonardo Zepeda-Núñez
2022	J	`jnl`	DIAS: A Data-Informed Active Subspace Regularization Framework for Inverse Problems. Comput. Hai Van Nguyen, Jonathan Wittmer, Tan Bui-Thanh
2022	J	`jnl`	Forward and inverse modeling of fault transmissibility in subsurface flows. Comput. Math. Appl. Jeonghun J. Lee, Tan Bui-Thanh, Umberto Villa, Omar Ghattas
2022	J	`jnl`	Layerwise Sparsifying Training and Sequential Learning Strategy for Neural Architecture Adaptation. CoRR C. G. Krishnanunni, Tan Bui-Thanh
2022	J	`jnl`	Probabilistic Constrained Bayesion Inversion for Transpiration Cooling. CoRR Ella Steins, Tan Bui-Thanh, Michael Herty, Siegfried Müller
2022	J	`jnl`	Use of mobile phone sensing data to estimate residence and mobility times in urban patches during the COVID-19 epidemic: The case of the 2020 outbreak in Hermosillo, Mexico. CoRR L. Leticia Ramírez-Ramírez, José A. Montoya, Jesús F. Espinoza, Chahak Mehta, Albert Orwa Akuno, Tan Bui-Thanh
2021	J	`jnl`	A Unified and Constructive Framework for the Universality of Neural Networks. CoRR Tan Bui-Thanh
2021	J	`jnl`	Bridging and Improving Theoretical and Computational Electric Impedance Tomography via Data Completion. CoRR Tan Bui-Thanh, Qin Li, Leonardo Zepeda-Núñez
2021	—	`conf`	High-Speed Simulation of the 3D Behavior of Myocardium Using a Neural Network PDE Approach. FIMH Wenbo Zhang, David S. Li, Tan Bui-Thanh, Michael S. Sacks
2021	J	`jnl`	Model-Constrained Deep Learning Approaches for Inverse Problems. CoRR Hai Van Nguyen, Tan Bui-Thanh
2021	J	`jnl`	Sequential ensemble transform for Bayesian inverse problems. J. Comput. Phys. Aaron Myers, Alexandre H. Thiéry, Kainan Wang, Tan Bui-Thanh
2021	—	`conf`	Solving Bayesian Inverse Problems via Variational Autoencoders. MSML Hwan Goh, Sheroze Sheriffdeen, Jonathan Wittmer, Tan Bui-Thanh
2020	J	`jnl`	A Multilevel Block Preconditioner for the HDG Trace System Applied to Incompressible Resistive MHD. CoRR Sriramkrishnan Muralikrishnan, Stephen Shannon, Tan Bui-Thanh, John N. Shadid
2020	J	`jnl`	A multilevel approach for trace system in HDG discretizations. J. Comput. Phys. Sriramkrishnan Muralikrishnan, Tan Bui-Thanh, John N. Shadid
2020	J	`jnl`	A scalable exponential-DG approach for nonlinear conservation laws: with application to Burger and Euler equations. CoRR Shinhoo Kang, Tan Bui-Thanh
2020	J	`jnl`	Hierarchical Matrix Approximations of Hessians Arising in Inverse Problems Governed by PDEs. CoRR Ilona Ambartsumyan, Wajih Bou Karam, Tan Bui-Thanh, Omar Ghattas, David E. Keyes, Georg Stadler, George Turkiyyah, Stefano Zampini
2020	J	`jnl`	Hierarchical Matrix Approximations of Hessians Arising in Inverse Problems Governed by PDEs. SIAM J. Sci. Comput. Ilona Ambartsumyan, Wajih Halim Boukaram, Tan Bui-Thanh, Omar Ghattas, David E. Keyes, Georg Stadler, George Turkiyyah, Stefano Zampini
2020	J	`jnl`	IMEX HDG-DG: A coupled implicit hybridized discontinuous Galerkin and explicit discontinuous Galerkin approach for shallow water systems. J. Comput. Phys. Shinhoo Kang, Francis X. Giraldo, Tan Bui-Thanh
2019	J	`jnl`	A Multilevel Approach for Trace System in HDG Discretizations. CoRR Sriramkrishnan Muralikrishnan, Tan Bui-Thanh, John N. Shadid
2019	J	`jnl`	Accelerating PDE-constrained Inverse Solutions with Deep Learning and Reduced Order Models. CoRR Sheroze Sheriffdeen, Jean C. Ragusa, Jim E. Morel, Marvin L. Adams, Tan Bui-Thanh
2019	J	`jnl`	Analysis of an HDG Method for Linearized Incompressible Resistive MHD Equations. SIAM J. Numer. Anal. Jeonghun J. Lee, Stephen Shannon, Tan Bui-Thanh, John N. Shadid
2019	J	`jnl`	Scalable Matrix-Free Adaptive Product-Convolution Approximation for Locally Translation-Invariant Operators. SIAM J. Sci. Comput. Nick Alger, Vishwas Rao, Aaron Myers, Tan Bui-Thanh, Omar Ghattas
2019	J	`jnl`	Solving Forward and Inverse Problems Using Autoencoders. CoRR Hwan Goh, Sheroze Sheriffdeen, Tan Bui-Thanh
2019	J	`jnl`	Unified Geometric Multigrid Algorithm for Hybridized High-Order Finite Element Methods. SIAM J. Sci. Comput. Tim Wildey, Sriramkrishnan Muralikrishnan, Tan Bui-Thanh
2018	J	`jnl`	A Hybridized Discontinuous Galerkin Method for A Linear Degenerate Elliptic Equation Arising from Two-Phase Mixtures. CoRR Shinhoo Kang, Tan Bui-Thanh, Todd Arbogast
2018	J	`jnl`	A Randomized Maximum A Posteriori Method for Posterior Sampling of High Dimensional Nonlinear Bayesian Inverse Problems. SIAM J. Sci. Comput. Kainan Wang, Tan Bui-Thanh, Omar Ghattas
2018	J	`jnl`	An improved iterative HDG approach for partial differential equations. J. Comput. Phys. Sriramkrishnan Muralikrishnan, Minh-Binh Tran, Tan Bui-Thanh
2017	J	`jnl`	A Data Scalable Augmented Lagrangian KKT Preconditioner for Large-Scale Inverse Problems. SIAM J. Sci. Comput. Nick Alger, Umberto Villa, Tan Bui-Thanh, Omar Ghattas
2017	J	`jnl`	IMEX HDG-DG: a coupled implicit hybridized discontinuous Galerkin (HDG) and explicit discontinuous Galerkin (DG) approach for shallow water systems. CoRR Shinhoo Kang, Francis X. Giraldo, Tan Bui-Thanh
2017	J	`jnl`	iHDG: An Iterative HDG Framework for Partial Differential Equations. SIAM J. Sci. Comput. Sriramkrishnan Muralikrishnan, Minh-Binh Tran, Tan Bui-Thanh
2016	J	`jnl`	A Randomized Misfit Approach for Data Reduction in Large-Scale Inverse Problems. CoRR Ellen B. Le, Aaron Myers, Tan Bui-Thanh
2016	J	`jnl`	Accelerating Markov Chain Monte Carlo with Active Subspaces. SIAM J. Sci. Comput. Paul G. Constantine, Carson Kent, Tan Bui-Thanh
2016	J	`jnl`	Construction and Analysis of HDG Methods for Linearized Shallow Water Equations. SIAM J. Sci. Comput. Tan Bui-Thanh
2016	J	`jnl`	Emulation of higher-order tensors in manifold Monte Carlo methods for Bayesian Inverse Problems. J. Comput. Phys. Shiwei Lan, Tan Bui-Thanh, Mike Christie, Mark A. Girolami
2016	J	`jnl`	eHDG: An Exponentially Convergent Iterative Solver for HDG Discretizations of Hyperbolic Partial Differential Equations. CoRR Sriramkrishnan Muralikrishnan, Minh-Binh Tran, Tan Bui-Thanh
2015	J	`jnl`	Discretely Exact Derivatives for Hyperbolic PDE-Constrained Optimization Problems Discretized by the Discontinuous Galerkin Method. J. Sci. Comput. Lucas C. Wilcox, Georg Stadler, Tan Bui-Thanh, Omar Ghattas
2015	J	`jnl`	From Godunov to a unified hybridized discontinuous Galerkin framework for partial differential equations. J. Comput. Phys. Tan Bui-Thanh
2014	J	`jnl`	A robust DPG method for convection-dominated diffusion problems II: Adjoint boundary conditions and mesh-dependent test norms. Comput. Math. Appl. Jesse Chan, Norbert Heuer, Tan Bui-Thanh, Leszek F. Demkowicz
2014	J	`jnl`	An Analysis of Infinite Dimensional Bayesian Inverse Shape Acoustic Scattering and Its Numerical Approximation. SIAM/ASA J. Uncertain. Quantification Tan Bui-Thanh, Omar Ghattas
2014	J	`jnl`	The DPG method for the Stokes problem. Comput. Math. Appl. Nathan V. Roberts, Tan Bui-Thanh, Leszek F. Demkowicz
2013	J	`jnl`	A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems Part I: The Linearized Case, with Application to Global Seismic Inversion. SIAM J. Sci. Comput. Tan Bui-Thanh, Omar Ghattas, James Martin, Georg Stadler
2013	J	`jnl`	A Unified Discontinuous Petrov-Galerkin Method and Its Analysis for Friedrichs' Systems. SIAM J. Numer. Anal. Tan Bui-Thanh, Leszek F. Demkowicz, Omar Ghattas
2013	J	`jnl`	Constructively well-posed approximation methods with unity inf-sup and continuity constants for partial differential equations. Math. Comput. Tan Bui-Thanh, Leszek F. Demkowicz, Omar Ghattas
2012	J	`jnl`	Adaptive Hessian-Based Nonstationary Gaussian Process Response Surface Method for Probability Density Approximation with Application to Bayesian Solution of Large-Scale Inverse Problems. SIAM J. Sci. Comput. Tan Bui-Thanh, Omar Ghattas, David Higdon
2012	J	`jnl`	Analysis of an hp-Nonconforming Discontinuous Galerkin Spectral Element Method for Wave Propagation. SIAM J. Numer. Anal. Tan Bui-Thanh, Omar Ghattas
2012	A	`conf`	Extreme-scale UQ for Bayesian inverse problems governed by PDEs. SC Tan Bui-Thanh, Carsten Burstedde, Omar Ghattas, James Martin, Georg Stadler, Lucas C. Wilcox
2008	J	`jnl`	Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space. SIAM J. Sci. Comput. Tan Bui-Thanh, Karen Willcox, Omar Ghattas
2007	J	`jnl`	Goal-oriented, model-constrained optimization for reduction of large-scale systems. J. Comput. Phys. Tan Bui-Thanh, Karen Willcox, Omar Ghattas, Bart G. van Bloemen Waanders