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ORCIDHouman Owhadi
Person information
- affiliation: California Institute of Technology, Pasadena, CA, USA
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2020 – today
- 2023
[i25]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 abs/2301.10321 (2023)- 2022
- [j28]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: 111595 (2022) - [j27]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: 111608 (2022) - [i24]Jean-Luc Akian, Luc Bonnet, Houman Owhadi, Éric Savin:
Learning "best" kernels from data in Gaussian process regression. With application to aerodynamics. CoRR abs/2206.02563 (2022) - [i23]Houman Owhadi:
Gaussian Process Hydrodynamics. CoRR abs/2209.10707 (2022) - [i22]Matthieu Darcy, Boumediene Hamzi, Giulia Livieri, Houman Owhadi, Peyman Tavallali:
One-Shot Learning of Stochastic Differential Equations with Computational Graph Completion. CoRR abs/2209.12086 (2022) - [i21]Kamaludin Dingle, Pau Batlle, Houman Owhadi:
Multiclass classification utilising an estimated algorithmic probability prior. CoRR abs/2212.07426 (2022) - 2021
- [j26]Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart:
Solving and learning nonlinear PDEs with Gaussian processes. J. Comput. Phys. 447: 110668 (2021) - [j25]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): 688-730 (2021) - [j24]Yifan Chen, Houman Owhadi, Andrew M. Stuart:
Consistency of empirical Bayes and kernel flow for hierarchical parameter estimation. Math. Comput. 90(332): 2527-2578 (2021) - [j23]Florian Schäfer, Matthias Katzfuss, Houman Owhadi:
Sparse Cholesky Factorization by Kullback-Leibler Minimization. SIAM J. Sci. Comput. 43(3): A2019-A2046 (2021) - [i20]Peyman Tavallali, Hamed Hamze Bajgiran, Danial J. Esaid, Houman Owhadi:
Decision Theoretic Bootstrapping. CoRR abs/2103.09982 (2021) - [i19]Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart:
Solving and Learning Nonlinear PDEs with Gaussian Processes. CoRR abs/2103.12959 (2021) - [i18]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 abs/2108.10517 (2021) - [i17]Florian Schäfer, Houman Owhadi:
Sparse recovery of elliptic solvers from matrix-vector products. CoRR abs/2110.05351 (2021) - [i16]Houman Owhadi:
Computational Graph Completion. CoRR abs/2110.10323 (2021) - [i15]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 abs/2111.13037 (2021) - 2020
- [i14]Gene Ryan Yoo, Houman Owhadi:
Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows. CoRR abs/2002.08335 (2020) - [i13]Florian Schäfer, Matthias Katzfuss, Houman Owhadi:
Sparse Cholesky factorization by Kullback-Leibler minimization. CoRR abs/2004.14455 (2020) - [i12]Yifan Chen, Houman Owhadi, Andrew M. Stuart:
Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation. CoRR abs/2005.11375 (2020) - [i11]Florian Schäfer, Anima Anandkumar, Houman Owhadi:
Competitive Mirror Descent. CoRR abs/2006.10179 (2020) - [i10]Boumediene Hamzi, Houman Owhadi:
Learning dynamical systems from data: a simple cross-validation perspective. CoRR abs/2007.05074 (2020) - [i9]Houman Owhadi:
Do ideas have shape? Plato's theory of forms as the continuous limit of artificial neural networks. CoRR abs/2008.03920 (2020)
2010 – 2019
- 2019
- [j22]Max Budninskiy, Houman Owhadi, Mathieu Desbrun:
Operator-adapted wavelets for finite-element differential forms. J. Comput. Phys. 388: 144-177 (2019) - [j21]Houman Owhadi, Gene Ryan Yoo:
Kernel Flows: From learning kernels from data into the abyss. J. Comput. Phys. 389: 22-47 (2019) - [j20]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: 381-396 (2019) - [j19]Gene Ryan Yoo, Houman Owhadi:
De-noising by thresholding operator adapted wavelets. Stat. Comput. 29(6): 1185-1201 (2019) - [j18]Hehu Xie, Lei Zhang, Houman Owhadi:
Fast Eigenpairs Computation with Operator Adapted Wavelets and Hierarchical Subspace Correction. SIAM J. Numer. Anal. 57(6): 2519-2550 (2019) - [j17]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): 161:1-161:15 (2019) - [i8]Houman Owhadi, Clint Scovel, Gene Ryan Yoo:
Kernel Mode Decomposition and programmable/interpretable regression networks. CoRR abs/1907.08592 (2019) - 2018
- [i7]Houman Owhadi, Gene Ryan Yoo:
Kernel Flows: from learning kernels from data into the abyss. CoRR abs/1808.04475 (2018) - 2017
- [j16]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: 99-128 (2017) - [j15]Houman Owhadi:
Multigrid with Rough Coefficients and Multiresolution Operator Decomposition from Hierarchical Information Games. SIAM Rev. 59(1): 99-149 (2017) - [i6]Florian Schäfer, Timothy John Sullivan, Houman Owhadi:
Compression, inversion, and approximate PCA of dense kernel matrices at near-linear computational complexity. CoRR abs/1706.02205 (2017) - 2015
- [j14]Houman Owhadi:
Bayesian Numerical Homogenization. Multiscale Model. Simul. 13(3): 812-828 (2015) - [j13]Shuo Han, Molei Tao, Ufuk Topcu, Houman Owhadi, Richard M. Murray:
Convex Optimal Uncertainty Quantification. SIAM J. Optim. 25(3): 1368-1387 (2015) - [j12]Houman Owhadi, Clint Scovel, Timothy John Sullivan:
On the Brittleness of Bayesian Inference. SIAM Rev. 57(4): 566-582 (2015) - [i5]Houman Owhadi:
Multigrid with rough coefficients and Multiresolution operator decomposition from Hierarchical Information Games. CoRR abs/1503.03467 (2015) - [i4]Houman Owhadi, Clint Scovel:
Machine Wald. CoRR abs/1508.02449 (2015) - 2013
- [j11]Sina Ober-Blöbaum, Molei Tao, Mulin Cheng, Houman Owhadi, Jerrold E. Marsden:
Variational integrators for electric circuits. J. Comput. Phys. 242: 498-530 (2013) - [j10]Houman Owhadi, Clint Scovel, Timothy John Sullivan, Mike McKerns, Michael Ortiz:
Optimal Uncertainty Quantification. SIAM Rev. 55(2): 271-345 (2013) - [j9]Fernando de Goes, Pierre Alliez, Houman Owhadi, Mathieu Desbrun:
On the equilibrium of simplicial masonry structures. ACM Trans. Graph. 32(4): 93:1-93:10 (2013) - [c2]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: 1130-1137 - 2012
- [i3]Mike McKerns, Houman Owhadi, Clint Scovel, Timothy John Sullivan, Michael Ortiz:
The Optimal Uncertainty Algorithm in the Mystic Framework. CoRR abs/1202.1055 (2012) - [i2]Timothy John Sullivan, Mike McKerns, Dominik Meyer, Florian Theil, Houman Owhadi, Michael Ortiz:
Optimal uncertainty quantification for legacy data observations of Lipschitz functions. CoRR abs/1202.1928 (2012) - 2011
- [j8]Alireza Doostan, Houman Owhadi:
A non-adapted sparse approximation of PDEs with stochastic inputs. J. Comput. Phys. 230(8): 3015-3034 (2011) - [j7]Houman Owhadi, Lei Zhang:
Localized Bases for Finite-Dimensional Homogenization Approximations with Nonseparated Scales and High Contrast. Multiscale Model. Simul. 9(4): 1373-1398 (2011) - [j6]Ufuk Topcu, Leonard J. Lucas, Houman Owhadi, Michael Ortiz:
Rigorous uncertainty quantification without integral testing. Reliab. Eng. Syst. Saf. 96(9): 1085-1091 (2011) - 2010
- [j5]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): 1269-1324 (2010) - [j4]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): 1958-1980 (2010) - [j3]Nawaf Bou-Rabee, Houman Owhadi:
Long-Run Accuracy of Variational Integrators in the Stochastic Context. SIAM J. Numer. Anal. 48(1): 278-297 (2010) - [i1]Houman Owhadi, Clint Scovel, Timothy John Sullivan, Mike McKerns, Michael Ortiz:
Optimal Uncertainty Quantification. CoRR abs/1009.0679 (2010)
2000 – 2009
- 2009
- [j2]Liliya Kharevych, Patrick Mullen, Houman Owhadi, Mathieu Desbrun:
Numerical coarsening of inhomogeneous elastic materials. ACM Trans. Graph. 28(3): 51 (2009) - [c1]Sujit Nair, Konda Reddy Chevva, Houman Owhadi, Jerrold E. Marsden:
Multiple target detection using Bayesian learning. CDC 2009: 8549-8554 - 2007
- [j1]Houman Owhadi, Lei Zhang:
Homogenization of Parabolic Equations with a Continuum of Space and Time Scales. SIAM J. Numer. Anal. 46(1): 1-36 (2007)
Coauthor Index
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