Houman Owhadi

According to our database, Houman Owhadi authored at least 62 papers between 2007 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Gaussian measures conditioned on nonlinear observations: consistency, MAP estimators, and simulation.

Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart

Stat. Comput., February, 2025

Error analysis of kernel/GP methods for nonlinear and parametric PDEs.

Pau Batlle, Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart

J. Comput. Phys., 2025

2024

Kernel methods are competitive for operator learning.

Pau Batlle, Matthieu Darcy, Bamdad Hosseini, Houman Owhadi

J. Comput. Phys., January, 2024

Sparse Recovery of Elliptic Solvers from Matrix-Vector Products.

Florian Schäfer, Houman Owhadi

SIAM J. Sci. Comput., 2024

Kolmogorov n-widths for multitask physics-informed machine learning (PIML) methods: Towards robust metrics.

Michael Penwarden, Houman Owhadi, Robert M. Kirby

Neural Networks, 2024

Kernel Methods for the Approximation of the Eigenfunctions of the Koopman Operator.

Jonghyeon Lee, Boumediene Hamzi, Boya Hou, Houman Owhadi, Gabriele Santin, Umesh Vaidya

CoRR, 2024

Toward Efficient Kernel-Based Solvers for Nonlinear PDEs.

Zhitong Xu, Da Long, Yiming Xu, Guang Yang, Shandian Zhe, Houman Owhadi

CoRR, 2024

Model aggregation: minimizing empirical variance outperforms minimizing empirical error.

Théo Bourdais, Houman Owhadi

CoRR, 2024

Operator Learning with Gaussian Processes.

Carlos Mora, Amin Yousefpour, Shirin Hosseinmardi, Houman Owhadi, Ramin Bostanabad

CoRR, 2024

Kernel Sum of Squares for Data Adapted Kernel Learning of Dynamical Systems from Data: A global optimization approach.

Daniel Lengyel, Panos Parpas, Boumediene Hamzi, Houman Owhadi

CoRR, 2024

Diffeomorphic Measure Matching with Kernels for Generative Modeling.

Biraj Pandey, Bamdad Hosseini, Pau Batlle, Houman Owhadi

CoRR, 2024

2023

Computational Hypergraph Discovery, a Gaussian Process framework for connecting the dots.

Théo Bourdais, Pau Batlle, Xianjin Yang, Ricardo Baptista, Nicolas Rouquette, Houman Owhadi

CoRR, 2023

Bridging Algorithmic Information Theory and Machine Learning: A New Approach to Kernel Learning.

Boumediene Hamzi, Marcus Hutter, Houman Owhadi

CoRR, 2023

Sparse Cholesky factorization by greedy conditional selection.

Stephen Huan, Joseph Guinness, Matthias Katzfuss, Houman Owhadi, Florian Schäfer

CoRR, 2023

A Mini-Batch Method for Solving Nonlinear PDEs with Gaussian Processes.

Xianjin Yang, Houman Owhadi

CoRR, 2023

Sparse Cholesky Factorization for Solving Nonlinear PDEs via Gaussian Processes.

Yifan Chen, Houman Owhadi, Florian Schäfer

CoRR, 2023

Learning Dynamical Systems from Data: A Simple Cross-Validation Perspective, Part V: Sparse Kernel Flows for 132 Chaotic Dynamical Systems.

Lu Yang, Xiuwen Sun, Boumediene Hamzi, Houman Owhadi, Naiming Xie

CoRR, 2023

2022

Uncertainty quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball.

Hamed Hamze Bajgiran, Pau Batlle, Houman Owhadi, Mostafa Samir, Clint Scovel, Mahdy Shirdel, Michael Stanley, Peyman Tavallali

J. Comput. Phys., 2022

Learning "best" kernels from data in Gaussian process regression. With application to aerodynamics.

Jean-Luc Akian, Luc Bonnet, Houman Owhadi, Éric Savin

J. Comput. Phys., 2022

Multiclass classification utilising an estimated algorithmic probability prior.

Kamaludin Dingle, Pau Batlle, Houman Owhadi

CoRR, 2022

One-Shot Learning of Stochastic Differential Equations with Computational Graph Completion.

Matthieu Darcy, Boumediene Hamzi, Giulia Livieri, Houman Owhadi, Peyman Tavallali

CoRR, 2022

Gaussian Process Hydrodynamics.

Houman Owhadi

CoRR, 2022

2021

Sparse Cholesky Factorization by Kullback-Leibler Minimization.

Florian Schäfer, Matthias Katzfuss, Houman Owhadi

SIAM J. Sci. Comput., 2021

Consistency of empirical Bayes and kernel flow for hierarchical parameter estimation.

Yifan Chen, Houman Owhadi, Andrew M. Stuart

Math. Comput., 2021

Compression, Inversion, and Approximate PCA of Dense Kernel Matrices at Near-Linear Computational Complexity.

Florian Schäfer, Timothy John Sullivan, Houman Owhadi

Multiscale Model. Simul., 2021

Solving and learning nonlinear PDEs with Gaussian processes.

Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart

J. Comput. Phys., 2021

Learning dynamical systems from data: A simple cross-validation perspective, part III: Irregularly-Sampled Time Series.

Jonghyeon Lee, Edward De Brouwer, Boumediene Hamzi, Houman Owhadi

CoRR, 2021

Computational Graph Completion.

Houman Owhadi

CoRR, 2021

Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball.

Hamed Hamze Bajgiran, Pau Batlle Franch, Houman Owhadi, Clint Scovel, Mahdy Shirdel, Michael Stanley, Peyman Tavallali

CoRR, 2021

Decision Theoretic Bootstrapping.

Peyman Tavallali, Hamed Hamze Bajgiran, Danial J. Esaid, Houman Owhadi

CoRR, 2021

2020

Do ideas have shape? Plato's theory of forms as the continuous limit of artificial neural networks.

Houman Owhadi

CoRR, 2020

Learning dynamical systems from data: a simple cross-validation perspective.

Boumediene Hamzi, Houman Owhadi

CoRR, 2020

Competitive Mirror Descent.

Florian Schäfer, Anima Anandkumar, Houman Owhadi

CoRR, 2020

Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows.

Gene Ryan Yoo, Houman Owhadi

CoRR, 2020

2019

Material-adapted refinable basis functions for elasticity simulation.

Jiong Chen, Max Budninskiy, Houman Owhadi, Hujun Bao, Jin Huang, Mathieu Desbrun

ACM Trans. Graph., 2019

Fast Eigenpairs Computation with Operator Adapted Wavelets and Hierarchical Subspace Correction.

Hehu Xie, Lei Zhang, Houman Owhadi

SIAM J. Numer. Anal., 2019

De-noising by thresholding operator adapted wavelets.

Gene Ryan Yoo, Houman Owhadi

Stat. Comput., 2019

Multiresolution operator decomposition for flow simulation in fractured porous media.

Qingfu Zhang, Houman Owhadi, Jun Yao, Florian Schäfer, Zhaoqin Huang, Yang Li

J. Comput. Phys., 2019

Kernel Flows: From learning kernels from data into the abyss.

Houman Owhadi, Gene Ryan Yoo

J. Comput. Phys., 2019

Operator-adapted wavelets for finite-element differential forms.

Max Budninskiy, Houman Owhadi, Mathieu Desbrun

J. Comput. Phys., 2019

Kernel Mode Decomposition and programmable/interpretable regression networks.

Houman Owhadi, Clint Scovel, Gene Ryan Yoo

CoRR, 2019

2017

Multigrid with Rough Coefficients and Multiresolution Operator Decomposition from Hierarchical Information Games.

Houman Owhadi

SIAM Rev., 2017

Gamblets for opening the complexity-bottleneck of implicit schemes for hyperbolic and parabolic ODEs/PDEs with rough coefficients.

Houman Owhadi, Lei Zhang

J. Comput. Phys., 2017

2015

On the Brittleness of Bayesian Inference.

Houman Owhadi, Clint Scovel, Timothy John Sullivan

SIAM Rev., 2015

Convex Optimal Uncertainty Quantification.

Shuo Han, Molei Tao, Ufuk Topcu, Houman Owhadi, Richard M. Murray

SIAM J. Optim., 2015

Bayesian Numerical Homogenization.

Houman Owhadi

Multiscale Model. Simul., 2015

Machine Wald.

Houman Owhadi, Clint Scovel

CoRR, 2015

2013

On the equilibrium of simplicial masonry structures.

Fernando de Goes, Pierre Alliez, Houman Owhadi, Mathieu Desbrun

ACM Trans. Graph., 2013

Optimal Uncertainty Quantification.

Houman Owhadi, Clint Scovel, Timothy John Sullivan, Mike McKerns, Michael Ortiz

SIAM Rev., 2013

Variational integrators for electric circuits.

Sina Ober-Blöbaum, Molei Tao, Mulin Cheng, Houman Owhadi, Jerrold E. Marsden

J. Comput. Phys., 2013

Convex optimal uncertainty quantification: Algorithms and a case study in energy storage placement for power grids.

Shuo Han, Ufuk Topcu, Molei Tao, Houman Owhadi, Richard M. Murray

Proceedings of the American Control Conference, 2013

2012

The Optimal Uncertainty Algorithm in the Mystic Framework

Mike McKerns, Houman Owhadi, Clint Scovel, Timothy John Sullivan, Michael Ortiz

CoRR, 2012

Optimal uncertainty quantification for legacy data observations of Lipschitz functions.

Timothy John Sullivan, Mike McKerns, Dominik Meyer, Florian Theil, Houman Owhadi, Michael Ortiz

CoRR, 2012

2011

Rigorous uncertainty quantification without integral testing.

Ufuk Topcu, Leonard J. Lucas, Houman Owhadi, Michael Ortiz

Reliab. Eng. Syst. Saf., 2011

Localized Bases for Finite-Dimensional Homogenization Approximations with Nonseparated Scales and High Contrast.

Houman Owhadi, Lei Zhang

Multiscale Model. Simul., 2011

A non-adapted sparse approximation of PDEs with stochastic inputs.

Alireza Doostan, Houman Owhadi

J. Comput. Phys., 2011

2010

Long-Run Accuracy of Variational Integrators in the Stochastic Context.

Nawaf Bou-Rabee, Houman Owhadi

SIAM J. Numer. Anal., 2010

Global Energy Matching Method for Atomistic-to-Continuum Modeling of Self-Assembling Biopolymer Aggregates.

Lei Zhang, Leonid Berlyand, Maxim V. Fedorov, Houman Owhadi

Multiscale Model. Simul., 2010

Nonintrusive and Structure Preserving Multiscale Integration of Stiff ODEs, SDEs, and Hamiltonian Systems with Hidden Slow Dynamics via Flow Averaging.

Molei Tao, Houman Owhadi, Jerrold E. Marsden

Multiscale Model. Simul., 2010

2009

Numerical coarsening of inhomogeneous elastic materials.

Liliya Kharevych, Patrick Mullen, Houman Owhadi, Mathieu Desbrun

ACM Trans. Graph., 2009

Multiple target detection using Bayesian learning.

Sujit Nair, Konda Reddy Chevva, Houman Owhadi, Jerrold E. Marsden

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2007

Homogenization of Parabolic Equations with a Continuum of Space and Time Scales.

Houman Owhadi, Lei Zhang

SIAM J. Numer. Anal., 2007