Houman Owhadi - RankMe

95 papers A* 2C 1Journal 91Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Discovery of Probabilistic Dirichlet-to-Neumann Maps on Graphs. SIAM J. Sci. Comput. Adrienne M. Propp, Jonas A. Actor, Elise Walker, Houman Owhadi, Nathaniel Trask, Daniel M. Tartakovsky
2026	J	`jnl`	Fluids You Can Trust: Property-Preserving Operator Learning for Incompressible Flows. CoRR Ramansh Sharma, Matthew Lowery, Houman Owhadi, Varun Shankar
2026	J	`jnl`	KROM: Kernelized Reduced Order Modeling. CoRR Aras Bacho, Jonghyeon Lee, Houman Owhadi
2026	J	`jnl`	Kernel Methods for Some Transport Equations with Application to Learning Kernels for the Approximation of Koopman Eigenfunctions: A Unified Approach via Variational Methods, Green's Functions and the Method of Characteristics. CoRR Boumediene Hamzi, Houman Owhadi, Umesh Vaidya
2026	J	`jnl`	Kernel Methods for Stochastic Dynamical Systems with Application to Koopman Eigenfunctions: Feynman-Kac Representations and RKHS Approximation. CoRR Boumediene Hamzi, Houman Owhadi, Umesh Vaidya
2026	J	`jnl`	Kernel Methods for the Construction of Certified Lyapunov Functions via Approximate Koopman Eigenfunctions. CoRR P. Giesl, S. Hafstein, Boumediene Hamzi, Jonghyeon Lee, Houman Owhadi, Gabriele Santin, Umesh Vaidya
2025	J	`jnl`	Bilevel optimization for learning hyperparameters: Application to solving PDEs and inverse problems with Gaussian processes. CoRR Nicholas H. Nelsen, Houman Owhadi, Andrew M. Stuart, Xianjin Yang, Zongren Zou
2025	J	`jnl`	Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis. CoRR Yasamin Jalalian, Juan Felipe Osorio Ramirez, Alexander Hsu, Bamdad Hosseini, Houman Owhadi
2025	J	`jnl`	Data-efficient Kernel Methods for Learning Hamiltonian Systems. CoRR Yasamin Jalalian, Mostafa Samir, Boumediene Hamzi, Peyman Tavallali, Houman Owhadi
2025	J	`jnl`	Diffeomorphic Measure Matching with Kernels for Generative Modeling. SIAM J. Math. Data Sci. Biraj Pandey, Bamdad Hosseini, Pau Batlle, Houman Owhadi
2025	J	`jnl`	Discovering Algorithms with Computational Language Processing. CoRR Théo Bourdais, Abeynaya Gnanasekaran, Houman Owhadi, Tuhin Sahai
2025	J	`jnl`	Discovery of Probabilistic Dirichlet-to-Neumann Maps on Graphs. CoRR Adrienne M. Propp, Jonas A. Actor, Elise Walker, Houman Owhadi, Nathaniel Trask, Daniel M. Tartakovsky
2025	J	`jnl`	Error analysis of kernel/GP methods for nonlinear and parametric PDEs. J. Comput. Phys. Pau Batlle, Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart
2025	J	`jnl`	Gaussian measures conditioned on nonlinear observations: consistency, MAP estimators, and simulation. Stat. Comput. Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart
2025	A*	`conf`	Minimal Variance Model Aggregation: A principled, non-intrusive, and versatile integration of black box models. ICLR Théo Bourdais, Houman Owhadi
2025	J	`jnl`	Operator Learning at Machine Precision. CoRR Aras Bacho, Aleksei G. Sorokin, Xianjin Yang, Théo Bourdais, Edoardo Calvello, Matthieu Darcy, Alexander Hsu, Bamdad Hosseini, Houman Owhadi
2025	J	`jnl`	Pruning Deep Neural Networks via a Combination of the Marchenko-Pastur Distribution and Regularization. CoRR Leonid Berlyand, Théo Bourdais, Houman Owhadi, Yitzchak Shmalo
2025	J	`jnl`	Solving Functional PDEs with Gaussian Processes and Applications to Functional Renormalization Group Equations. CoRR Xianjin Yang, Matthieu Darcy, Matthew Hudes, Francis J. Alexander, Gregory Eyink, Houman Owhadi
2025	J	`jnl`	Solving Roughly Forced Nonlinear PDEs via Misspecified Kernel Methods and Neural Networks. CoRR Ricardo Baptista, Edoardo Calvello, Matthieu Darcy, Houman Owhadi, Andrew M. Stuart, Xianjin Yang
2025	J	`jnl`	Sparse Inverse Cholesky Factorization of Dense Kernel Matrices by Greedy Conditional Selection. SIAM/ASA J. Uncertain. Quantification Stephen Huan, Joseph Guinness, Matthias Katzfuss, Houman Owhadi, Florian Schäofer
2025	J	`jnl`	Tensor Gaussian Processes: Efficient Solvers for Nonlinear PDEs. CoRR Qiwei Yuan, Zhitong Xu, Yinghao Chen, Yiming Xu, Houman Owhadi, Shandian Zhe
2025	A*	`conf`	Toward Efficient Kernel-Based Solvers for Nonlinear PDEs. ICML Zhitong Xu, Da Long, Yiming Xu, Guang Yang, Shandian Zhe, Houman Owhadi
2024	J	`jnl`	Diffeomorphic Measure Matching with Kernels for Generative Modeling. CoRR Biraj Pandey, Bamdad Hosseini, Pau Batlle, Houman Owhadi
2024	J	`jnl`	Gaussian Measures Conditioned on Nonlinear Observations: Consistency, MAP Estimators, and Simulation. CoRR Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart
2024	J	`jnl`	Kernel Methods for the Approximation of the Eigenfunctions of the Koopman Operator. CoRR Jonghyeon Lee, Boumediene Hamzi, Boya Hou, Houman Owhadi, Gabriele Santin, Umesh Vaidya
2024	J	`jnl`	Kernel Sum of Squares for Data Adapted Kernel Learning of Dynamical Systems from Data: A global optimization approach. CoRR Daniel Lengyel, Panos Parpas, Boumediene Hamzi, Houman Owhadi
2024	J	`jnl`	Kernel methods are competitive for operator learning. J. Comput. Phys. Pau Batlle, Matthieu Darcy, Bamdad Hosseini, Houman Owhadi
2024	J	`jnl`	Kolmogorov n-Widths for Multitask Physics-Informed Machine Learning (PIML) Methods: Towards Robust Metrics. CoRR Michael Penwarden, Houman Owhadi, Robert M. Kirby
2024	J	`jnl`	Kolmogorov n-widths for multitask physics-informed machine learning (PIML) methods: Towards robust metrics. Neural Networks Michael Penwarden, Houman Owhadi, Robert M. Kirby
2024	J	`jnl`	Model aggregation: minimizing empirical variance outperforms minimizing empirical error. CoRR Théo Bourdais, Houman Owhadi
2024	J	`jnl`	Operator Learning with Gaussian Processes. CoRR Carlos Mora, Amin Yousefpour, Shirin Hosseinmardi, Houman Owhadi, Ramin Bostanabad
2024	J	`jnl`	Sparse Recovery of Elliptic Solvers from Matrix-Vector Products. SIAM J. Sci. Comput. Florian Schäfer, Houman Owhadi
2024	J	`jnl`	Toward Efficient Kernel-Based Solvers for Nonlinear PDEs. CoRR Zhitong Xu, Da Long, Yiming Xu, Guang Yang, Shandian Zhe, Houman Owhadi
2023	J	`jnl`	A Mini-Batch Method for Solving Nonlinear PDEs with Gaussian Processes. CoRR Xianjin Yang, Houman Owhadi
2023	J	`jnl`	Bridging Algorithmic Information Theory and Machine Learning: A New Approach to Kernel Learning. CoRR Boumediene Hamzi, Marcus Hutter, Houman Owhadi
2023	J	`jnl`	Computational Hypergraph Discovery, a Gaussian Process framework for connecting the dots. CoRR Théo Bourdais, Pau Batlle, Xianjin Yang, Ricardo Baptista, Nicolas Rouquette, Houman Owhadi
2023	J	`jnl`	Error Analysis of Kernel/GP Methods for Nonlinear and Parametric PDEs. CoRR Pau Batlle, Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart
2023	J	`jnl`	Kernel Methods are Competitive for Operator Learning. CoRR Pau Batlle, Matthieu Darcy, Bamdad Hosseini, Houman Owhadi
2023	J	`jnl`	Learning Dynamical Systems from Data: A Simple Cross-Validation Perspective, Part V: Sparse Kernel Flows for 132 Chaotic Dynamical Systems. CoRR Lu Yang, Xiuwen Sun, Boumediene Hamzi, Houman Owhadi, Naiming Xie
2023	J	`jnl`	Sparse Cholesky Factorization for Solving Nonlinear PDEs via Gaussian Processes. CoRR Yifan Chen, Houman Owhadi, Florian Schäfer
2023	J	`jnl`	Sparse Cholesky factorization by greedy conditional selection. CoRR Stephen Huan, Joseph Guinness, Matthias Katzfuss, Houman Owhadi, Florian Schäfer
2022	J	`jnl`	Gaussian Process Hydrodynamics. CoRR Houman Owhadi
2022	J	`jnl`	Learning "best" kernels from data in Gaussian process regression. With application to aerodynamics. CoRR Jean-Luc Akian, Luc Bonnet, Houman Owhadi, Éric Savin
2022	J	`jnl`	Learning "best" kernels from data in Gaussian process regression. With application to aerodynamics. J. Comput. Phys. Jean-Luc Akian, Luc Bonnet, Houman Owhadi, Éric Savin
2022	J	`jnl`	Multiclass classification utilising an estimated algorithmic probability prior. CoRR Kamaludin Dingle, Pau Batlle, Houman Owhadi
2022	J	`jnl`	One-Shot Learning of Stochastic Differential Equations with Computational Graph Completion. CoRR Matthieu Darcy, Boumediene Hamzi, Giulia Livieri, Houman Owhadi, Peyman Tavallali
2022	J	`jnl`	Uncertainty quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball. J. Comput. Phys. Hamed Hamze Bajgiran, Pau Batlle, Houman Owhadi, Mostafa Samir, Clint Scovel, Mahdy Shirdel, Michael Stanley, Peyman Tavallali
2021	J	`jnl`	Compression, Inversion, and Approximate PCA of Dense Kernel Matrices at Near-Linear Computational Complexity. Multiscale Model. Simul. Florian Schäfer, Timothy John Sullivan, Houman Owhadi
2021	J	`jnl`	Computational Graph Completion. CoRR Houman Owhadi
2021	J	`jnl`	Consistency of empirical Bayes and kernel flow for hierarchical parameter estimation. Math. Comput. Yifan Chen, Houman Owhadi, Andrew M. Stuart
2021	J	`jnl`	Decision Theoretic Bootstrapping. CoRR Peyman Tavallali, Hamed Hamze Bajgiran, Danial J. Esaid, Houman Owhadi
2021	J	`jnl`	Learning dynamical systems from data: A simple cross-validation perspective, part III: Irregularly-Sampled Time Series. CoRR Jonghyeon Lee, Edward De Brouwer, Boumediene Hamzi, Houman Owhadi
2021	J	`jnl`	Solving and Learning Nonlinear PDEs with Gaussian Processes. CoRR Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart
2021	J	`jnl`	Solving and learning nonlinear PDEs with Gaussian processes. J. Comput. Phys. Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart
2021	J	`jnl`	Sparse Cholesky Factorization by Kullback-Leibler Minimization. SIAM J. Sci. Comput. Florian Schäfer, Matthias Katzfuss, Houman Owhadi
2021	J	`jnl`	Sparse recovery of elliptic solvers from matrix-vector products. CoRR Florian Schäfer, Houman Owhadi
2021	J	`jnl`	Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball. CoRR Hamed Hamze Bajgiran, Pau Batlle Franch, Houman Owhadi, Clint Scovel, Mahdy Shirdel, Michael Stanley, Peyman Tavallali
2020	J	`jnl`	Competitive Mirror Descent. CoRR Florian Schäfer, Anima Anandkumar, Houman Owhadi
2020	J	`jnl`	Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation. CoRR Yifan Chen, Houman Owhadi, Andrew M. Stuart
2020	J	`jnl`	Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows. CoRR Gene Ryan Yoo, Houman Owhadi
2020	J	`jnl`	Do ideas have shape? Plato's theory of forms as the continuous limit of artificial neural networks. CoRR Houman Owhadi
2020	J	`jnl`	Learning dynamical systems from data: a simple cross-validation perspective. CoRR Boumediene Hamzi, Houman Owhadi
2020	J	`jnl`	Sparse Cholesky factorization by Kullback-Leibler minimization. CoRR Florian Schäfer, Matthias Katzfuss, Houman Owhadi
2019	J	`jnl`	De-noising by thresholding operator adapted wavelets. Stat. Comput. Gene Ryan Yoo, Houman Owhadi
2019	J	`jnl`	Fast Eigenpairs Computation with Operator Adapted Wavelets and Hierarchical Subspace Correction. SIAM J. Numer. Anal. Hehu Xie, Lei Zhang, Houman Owhadi
2019	J	`jnl`	Kernel Flows: From learning kernels from data into the abyss. J. Comput. Phys. Houman Owhadi, Gene Ryan Yoo
2019	J	`jnl`	Kernel Mode Decomposition and programmable/interpretable regression networks. CoRR Houman Owhadi, Clint Scovel, Gene Ryan Yoo
2019	J	`jnl`	Material-adapted refinable basis functions for elasticity simulation. ACM Trans. Graph. Jiong Chen, Max Budninskiy, Houman Owhadi, Hujun Bao, Jin Huang, Mathieu Desbrun
2019	J	`jnl`	Multiresolution operator decomposition for flow simulation in fractured porous media. J. Comput. Phys. Qingfu Zhang, Houman Owhadi, Jun Yao, Florian Schäfer, Zhaoqin Huang, Yang Li
2019	J	`jnl`	Operator-adapted wavelets for finite-element differential forms. J. Comput. Phys. Max Budninskiy, Houman Owhadi, Mathieu Desbrun
2018	J	`jnl`	Kernel Flows: from learning kernels from data into the abyss. CoRR Houman Owhadi, Gene Ryan Yoo
2017	J	`jnl`	Compression, inversion, and approximate PCA of dense kernel matrices at near-linear computational complexity. CoRR Florian Schäfer, Timothy John Sullivan, Houman Owhadi
2017	J	`jnl`	Gamblets for opening the complexity-bottleneck of implicit schemes for hyperbolic and parabolic ODEs/PDEs with rough coefficients. J. Comput. Phys. Houman Owhadi, Lei Zhang
2017	J	`jnl`	Multigrid with Rough Coefficients and Multiresolution Operator Decomposition from Hierarchical Information Games. SIAM Rev. Houman Owhadi
2015	J	`jnl`	Bayesian Numerical Homogenization. Multiscale Model. Simul. Houman Owhadi
2015	J	`jnl`	Convex Optimal Uncertainty Quantification. SIAM J. Optim. Shuo Han, Molei Tao, Ufuk Topcu, Houman Owhadi, Richard M. Murray
2015	J	`jnl`	Machine Wald. CoRR Houman Owhadi, Clint Scovel
2015	J	`jnl`	Multigrid with rough coefficients and Multiresolution operator decomposition from Hierarchical Information Games. CoRR Houman Owhadi
2015	J	`jnl`	On the Brittleness of Bayesian Inference. SIAM Rev. Houman Owhadi, Clint Scovel, Timothy John Sullivan
2013	C	`conf`	Convex optimal uncertainty quantification: Algorithms and a case study in energy storage placement for power grids. ACC Shuo Han, Ufuk Topcu, Molei Tao, Houman Owhadi, Richard M. Murray
2013	J	`jnl`	On the equilibrium of simplicial masonry structures. ACM Trans. Graph. Fernando de Goes, Pierre Alliez, Houman Owhadi, Mathieu Desbrun
2013	J	`jnl`	Optimal Uncertainty Quantification. SIAM Rev. Houman Owhadi, Clint Scovel, Timothy John Sullivan, Mike McKerns, Michael Ortiz
2013	J	`jnl`	Variational integrators for electric circuits. J. Comput. Phys. Sina Ober-Blöbaum, Molei Tao, Mulin Cheng, Houman Owhadi, Jerrold E. Marsden
2012	J	`jnl`	Optimal uncertainty quantification for legacy data observations of Lipschitz functions. CoRR Timothy John Sullivan, Mike McKerns, Dominik Meyer, Florian Theil, Houman Owhadi, Michael Ortiz
2012	J	`jnl`	The Optimal Uncertainty Algorithm in the Mystic Framework CoRR Mike McKerns, Houman Owhadi, Clint Scovel, Timothy John Sullivan, Michael Ortiz
2011	J	`jnl`	A non-adapted sparse approximation of PDEs with stochastic inputs. J. Comput. Phys. Alireza Doostan, Houman Owhadi
2011	J	`jnl`	Localized Bases for Finite-Dimensional Homogenization Approximations with Nonseparated Scales and High Contrast. Multiscale Model. Simul. Houman Owhadi, Lei Zhang
2011	J	`jnl`	Rigorous uncertainty quantification without integral testing. Reliab. Eng. Syst. Saf. Ufuk Topcu, Leonard J. Lucas, Houman Owhadi, Michael Ortiz
2010	J	`jnl`	Global Energy Matching Method for Atomistic-to-Continuum Modeling of Self-Assembling Biopolymer Aggregates. Multiscale Model. Simul. Lei Zhang, Leonid Berlyand, Maxim V. Fedorov, Houman Owhadi
2010	J	`jnl`	Long-Run Accuracy of Variational Integrators in the Stochastic Context. SIAM J. Numer. Anal. Nawaf Bou-Rabee, Houman Owhadi
2010	J	`jnl`	Nonintrusive and Structure Preserving Multiscale Integration of Stiff ODEs, SDEs, and Hamiltonian Systems with Hidden Slow Dynamics via Flow Averaging. Multiscale Model. Simul. Molei Tao, Houman Owhadi, Jerrold E. Marsden
2010	J	`jnl`	Optimal Uncertainty Quantification CoRR Houman Owhadi, Clint Scovel, Timothy John Sullivan, Mike McKerns, Michael Ortiz
2009	—	`conf`	Multiple target detection using Bayesian learning. CDC Sujit Nair, Konda Reddy Chevva, Houman Owhadi, Jerrold E. Marsden
2009	J	`jnl`	Numerical coarsening of inhomogeneous elastic materials. ACM Trans. Graph. Liliya Kharevych, Patrick Mullen, Houman Owhadi, Mathieu Desbrun
2007	J	`jnl`	Homogenization of Parabolic Equations with a Continuum of Space and Time Scales. SIAM J. Numer. Anal. Houman Owhadi, Lei Zhang