Houman Owhadi

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 46

Top Topics

Gaussian Process

Top Venues

J. Comput. Phys.

Multiscale Model. Simul.

Publications

Pau Batlle, Matthieu Darcy, Bamdad Hosseini, Houman Owhadi
Kernel methods are competitive for operator learning. J. Comput. Phys. 496 (2024)
Florian Schäfer, Houman Owhadi
Sparse Recovery of Elliptic Solvers from Matrix-Vector Products. SIAM J. Sci. Comput. 46 (2) (2024)
Michael Penwarden, Houman Owhadi, Robert M. Kirby
Kolmogorov n-Widths for Multitask Physics-Informed Machine Learning (PIML) Methods: Towards Robust Metrics. CoRR (2024)
Biraj Pandey, Bamdad Hosseini, Pau Batlle, Houman Owhadi
Diffeomorphic Measure Matching with Kernels for Generative Modeling. CoRR (2024)
Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart
Gaussian Measures Conditioned on Nonlinear Observations: Consistency, MAP Estimators, and Simulation. CoRR (2024)
Stephen Huan, Joseph Guinness, Matthias Katzfuss, Houman Owhadi, Florian Schäfer
Sparse Cholesky factorization by greedy conditional selection. CoRR (2023)
Pau Batlle, Matthieu Darcy, Bamdad Hosseini, Houman Owhadi
Kernel Methods are Competitive for Operator Learning. CoRR (2023)
Lu Yang, Xiuwen Sun, Boumediene Hamzi, Houman Owhadi, Naiming Xie
Learning Dynamical Systems from Data: A Simple Cross-Validation Perspective, Part V: Sparse Kernel Flows for 132 Chaotic Dynamical Systems. CoRR (2023)
Théo Bourdais, Pau Batlle, Xianjin Yang, Ricardo Baptista, Nicolas Rouquette, Houman Owhadi
Computational Hypergraph Discovery, a Gaussian Process framework for connecting the dots. CoRR (2023)
Boumediene Hamzi, Marcus Hutter, Houman Owhadi
Bridging Algorithmic Information Theory and Machine Learning: A New Approach to Kernel Learning. CoRR (2023)
Yifan Chen, Houman Owhadi, Florian Schäfer
Sparse Cholesky Factorization for Solving Nonlinear PDEs via Gaussian Processes. CoRR (2023)
Pau Batlle, Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart
Error Analysis of Kernel/GP Methods for Nonlinear and Parametric PDEs. CoRR (2023)
Xianjin Yang, Houman Owhadi
A Mini-Batch Method for Solving Nonlinear PDEs with Gaussian Processes. CoRR (2023)
Jean-Luc Akian, Luc Bonnet, Houman Owhadi, Éric Savin
Learning "best" kernels from data in Gaussian process regression. With application to aerodynamics. J. Comput. Phys. 470 (2022)
Kamaludin Dingle, Pau Batlle, Houman Owhadi
Multiclass classification utilising an estimated algorithmic probability prior. CoRR (2022)
Hamed Hamze Bajgiran, Pau Batlle, Houman Owhadi, Mostafa Samir, Clint Scovel, Mahdy Shirdel, Michael Stanley, Peyman Tavallali
Uncertainty quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball. J. Comput. Phys. 471 (2022)
Matthieu Darcy, Boumediene Hamzi, Giulia Livieri, Houman Owhadi, Peyman Tavallali
One-Shot Learning of Stochastic Differential Equations with Computational Graph Completion. CoRR (2022)
Jean-Luc Akian, Luc Bonnet, Houman Owhadi, Éric Savin
Learning "best" kernels from data in Gaussian process regression. With application to aerodynamics. CoRR (2022)
Houman Owhadi
Gaussian Process Hydrodynamics. CoRR (2022)
Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart
Solving and Learning Nonlinear PDEs with Gaussian Processes. CoRR (2021)
Yifan Chen, Houman Owhadi, Andrew M. Stuart
Consistency of empirical Bayes and kernel flow for hierarchical parameter estimation. Math. Comput. 90 (332) (2021)
Jonghyeon Lee, Edward De Brouwer, Boumediene Hamzi, Houman Owhadi
Learning dynamical systems from data: A simple cross-validation perspective, part III: Irregularly-Sampled Time Series. CoRR (2021)
Florian Schäfer, Timothy John Sullivan, Houman Owhadi
Compression, Inversion, and Approximate PCA of Dense Kernel Matrices at Near-Linear Computational Complexity. Multiscale Model. Simul. 19 (2) (2021)
Hamed Hamze Bajgiran, Pau Batlle Franch, Houman Owhadi, Clint Scovel, Mahdy Shirdel, Michael Stanley, Peyman Tavallali
Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball. CoRR (2021)
Florian Schäfer, Houman Owhadi
Sparse recovery of elliptic solvers from matrix-vector products. CoRR (2021)
Peyman Tavallali, Hamed Hamze Bajgiran, Danial J. Esaid, Houman Owhadi
Decision Theoretic Bootstrapping. CoRR (2021)
Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart
Solving and learning nonlinear PDEs with Gaussian processes. J. Comput. Phys. 447 (2021)
Florian Schäfer, Matthias Katzfuss, Houman Owhadi
Sparse Cholesky Factorization by Kullback-Leibler Minimization. SIAM J. Sci. Comput. 43 (3) (2021)
Houman Owhadi
Computational Graph Completion. CoRR (2021)
Florian Schäfer, Matthias Katzfuss, Houman Owhadi
Sparse Cholesky factorization by Kullback-Leibler minimization. CoRR (2020)
Boumediene Hamzi, Houman Owhadi
Learning dynamical systems from data: a simple cross-validation perspective. CoRR (2020)
Yifan Chen, Houman Owhadi, Andrew M. Stuart
Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation. CoRR (2020)
Florian Schäfer, Anima Anandkumar, Houman Owhadi
Competitive Mirror Descent. CoRR (2020)
Gene Ryan Yoo, Houman Owhadi
Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows. CoRR (2020)
Houman Owhadi
Do ideas have shape? Plato's theory of forms as the continuous limit of artificial neural networks. CoRR (2020)
Max Budninskiy, Houman Owhadi, Mathieu Desbrun
Operator-adapted wavelets for finite-element differential forms. J. Comput. Phys. 388 (2019)
Gene Ryan Yoo, Houman Owhadi
De-noising by thresholding operator adapted wavelets. Stat. Comput. 29 (6) (2019)
Houman Owhadi, Gene Ryan Yoo
Kernel Flows: From learning kernels from data into the abyss. J. Comput. Phys. 389 (2019)
Qingfu Zhang, Houman Owhadi, Jun Yao, Florian Schäfer, Zhaoqin Huang, Yang Li
Multiresolution operator decomposition for flow simulation in fractured porous media. J. Comput. Phys. 391 (2019)
Houman Owhadi, Clint Scovel, Gene Ryan Yoo
Kernel Mode Decomposition and programmable/interpretable regression networks. CoRR (2019)
Jiong Chen, Max Budninskiy, Houman Owhadi, Hujun Bao, Jin Huang, Mathieu Desbrun
Material-adapted refinable basis functions for elasticity simulation. ACM Trans. Graph. 38 (6) (2019)
Hehu Xie, Lei Zhang, Houman Owhadi
Fast Eigenpairs Computation with Operator Adapted Wavelets and Hierarchical Subspace Correction. SIAM J. Numer. Anal. 57 (6) (2019)
Houman Owhadi, Gene Ryan Yoo
Kernel Flows: from learning kernels from data into the abyss. CoRR (2018)
Houman Owhadi
Multigrid with Rough Coefficients and Multiresolution Operator Decomposition from Hierarchical Information Games. SIAM Rev. 59 (1) (2017)
Florian Schäfer, Timothy John Sullivan, Houman Owhadi
Compression, inversion, and approximate PCA of dense kernel matrices at near-linear computational complexity. CoRR (2017)
Houman Owhadi, Lei Zhang
Gamblets for opening the complexity-bottleneck of implicit schemes for hyperbolic and parabolic ODEs/PDEs with rough coefficients. J. Comput. Phys. 347 (2017)
Houman Owhadi, Clint Scovel, Timothy John Sullivan
On the Brittleness of Bayesian Inference. SIAM Rev. 57 (4) (2015)
Houman Owhadi
Multigrid with rough coefficients and Multiresolution operator decomposition from Hierarchical Information Games. CoRR (2015)
Houman Owhadi
Bayesian Numerical Homogenization. Multiscale Model. Simul. 13 (3) (2015)
Shuo Han, Molei Tao, Ufuk Topcu, Houman Owhadi, Richard M. Murray
Convex Optimal Uncertainty Quantification. SIAM J. Optim. 25 (3) (2015)
Houman Owhadi, Clint Scovel
Machine Wald. CoRR (2015)
Houman Owhadi, Clint Scovel, Timothy John Sullivan, Mike McKerns, Michael Ortiz
Optimal Uncertainty Quantification. SIAM Rev. 55 (2) (2013)
Sina Ober-Blöbaum, Molei Tao, Mulin Cheng, Houman Owhadi, Jerrold E. Marsden
Variational integrators for electric circuits. J. Comput. Phys. 242 (2013)
Fernando de Goes, Pierre Alliez, Houman Owhadi, Mathieu Desbrun
On the equilibrium of simplicial masonry structures. ACM Trans. Graph. 32 (4) (2013)
Shuo Han, Ufuk Topcu, Molei Tao, Houman Owhadi, Richard M. Murray
Convex optimal uncertainty quantification: Algorithms and a case study in energy storage placement for power grids. ACC (2013)
Timothy John Sullivan, Mike McKerns, Dominik Meyer, Florian Theil, Houman Owhadi, Michael Ortiz
Optimal uncertainty quantification for legacy data observations of Lipschitz functions. CoRR (2012)
Mike McKerns, Houman Owhadi, Clint Scovel, Timothy John Sullivan, Michael Ortiz
The Optimal Uncertainty Algorithm in the Mystic Framework CoRR (2012)
Alireza Doostan, Houman Owhadi
A non-adapted sparse approximation of PDEs with stochastic inputs. J. Comput. Phys. 230 (8) (2011)
Houman Owhadi, Lei Zhang
Localized Bases for Finite-Dimensional Homogenization Approximations with Nonseparated Scales and High Contrast. Multiscale Model. Simul. 9 (4) (2011)
Ufuk Topcu, Leonard J. Lucas, Houman Owhadi, Michael Ortiz
Rigorous uncertainty quantification without integral testing. Reliab. Eng. Syst. Saf. 96 (9) (2011)
Nawaf Bou-Rabee, Houman Owhadi
Long-Run Accuracy of Variational Integrators in the Stochastic Context. SIAM J. Numer. Anal. 48 (1) (2010)
Houman Owhadi, Clint Scovel, Timothy John Sullivan, Mike McKerns, Michael Ortiz
Optimal Uncertainty Quantification CoRR (2010)
Molei Tao, Houman Owhadi, Jerrold E. Marsden
Nonintrusive and Structure Preserving Multiscale Integration of Stiff ODEs, SDEs, and Hamiltonian Systems with Hidden Slow Dynamics via Flow Averaging. Multiscale Model. Simul. 8 (4) (2010)
Lei Zhang, Leonid Berlyand, Maxim V. Fedorov, Houman Owhadi
Global Energy Matching Method for Atomistic-to-Continuum Modeling of Self-Assembling Biopolymer Aggregates. Multiscale Model. Simul. 8 (5) (2010)
Sujit Nair, Konda Reddy Chevva, Houman Owhadi, Jerrold E. Marsden
Multiple target detection using Bayesian learning. CDC (2009)
Liliya Kharevych, Patrick Mullen, Houman Owhadi, Mathieu Desbrun
Numerical coarsening of inhomogeneous elastic materials. ACM Trans. Graph. 28 (3) (2009)
Houman Owhadi, Lei Zhang
Homogenization of Parabolic Equations with a Continuum of Space and Time Scales. SIAM J. Numer. Anal. 46 (1) (2007)