Houman Owhadi
Orcid: 0000-0002-5677-1600Affiliations:
- California Institute of Technology, Pasadena, CA, USA
According to our database1,
Houman Owhadi
authored at least 56 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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on id.loc.gov
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on d-nb.info
On csauthors.net:
Bibliography
2024
J. Comput. Phys., January, 2024
SIAM J. Sci. Comput., 2024
Kolmogorov n-Widths for Multitask Physics-Informed Machine Learning (PIML) Methods: Towards Robust Metrics.
CoRR, 2024
2023
Computational Hypergraph Discovery, a Gaussian Process framework for connecting the dots.
CoRR, 2023
Bridging Algorithmic Information Theory and Machine Learning: A New Approach to Kernel Learning.
CoRR, 2023
CoRR, 2023
Learning Dynamical Systems from Data: A Simple Cross-Validation Perspective, Part V: Sparse Kernel Flows for 132 Chaotic Dynamical Systems.
CoRR, 2023
2022
Uncertainty quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball.
J. Comput. Phys., 2022
Learning "best" kernels from data in Gaussian process regression. With application to aerodynamics.
J. Comput. Phys., 2022
CoRR, 2022
One-Shot Learning of Stochastic Differential Equations with Computational Graph Completion.
CoRR, 2022
2021
SIAM J. Sci. Comput., 2021
Consistency of empirical Bayes and kernel flow for hierarchical parameter estimation.
Math. Comput., 2021
Compression, Inversion, and Approximate PCA of Dense Kernel Matrices at Near-Linear Computational Complexity.
Multiscale Model. Simul., 2021
Learning dynamical systems from data: A simple cross-validation perspective, part III: Irregularly-Sampled Time Series.
CoRR, 2021
Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball.
CoRR, 2021
2020
Do ideas have shape? Plato's theory of forms as the continuous limit of artificial neural networks.
CoRR, 2020
CoRR, 2020
Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows.
CoRR, 2020
2019
ACM Trans. Graph., 2019
Fast Eigenpairs Computation with Operator Adapted Wavelets and Hierarchical Subspace Correction.
SIAM J. Numer. Anal., 2019
Multiresolution operator decomposition for flow simulation in fractured porous media.
J. Comput. Phys., 2019
J. Comput. Phys., 2019
CoRR, 2019
2017
Multigrid with Rough Coefficients and Multiresolution Operator Decomposition from Hierarchical Information Games.
SIAM Rev., 2017
Gamblets for opening the complexity-bottleneck of implicit schemes for hyperbolic and parabolic ODEs/PDEs with rough coefficients.
J. Comput. Phys., 2017
2015
2013
Convex optimal uncertainty quantification: Algorithms and a case study in energy storage placement for power grids.
Proceedings of the American Control Conference, 2013
2012
Optimal uncertainty quantification for legacy data observations of Lipschitz functions.
CoRR, 2012
2011
Reliab. Eng. Syst. Saf., 2011
Localized Bases for Finite-Dimensional Homogenization Approximations with Nonseparated Scales and High Contrast.
Multiscale Model. Simul., 2011
J. Comput. Phys., 2011
2010
SIAM J. Numer. Anal., 2010
Global Energy Matching Method for Atomistic-to-Continuum Modeling of Self-Assembling Biopolymer Aggregates.
Multiscale Model. Simul., 2010
Nonintrusive and Structure Preserving Multiscale Integration of Stiff ODEs, SDEs, and Hamiltonian Systems with Hidden Slow Dynamics via Flow Averaging.
Multiscale Model. Simul., 2010
2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
2007
SIAM J. Numer. Anal., 2007