Houman Owhadi

According to our database, Houman Owhadi authored at least 35 papers between 2007 and 2020.

Collaborative distances:

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

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

Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation.

Yifan Chen, Houman Owhadi, Andrew M. Stuart

CoRR, 2020

Sparse Cholesky factorization by Kullback-Leibler minimization.

Florian Schäfer, Matthias Katzfuss, 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

Compression, inversion, and approximate PCA of dense kernel matrices at near-linear computational complexity.

Florian Schäfer, Timothy John Sullivan, Houman Owhadi

CoRR, 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