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H

Houman Owhadi

California Institute of Technology

30H-index
300Paper Count
4.8KCitation Count
Published Papers 42
Publication Date
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Solving functional PDEs with Gaussian processes and applications to functional renormalization group equations
errJournal of Computational Physics
IF3.8
err2026-09-30
err0
PREAI
errYang, Xianjin; Darcy, Matthieu; Hudes, Matthew; Alexander, Francis J.; Eyink, Gregory; Owhadi, Houman
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Discovering algorithms with computational language processing
errScience Advances
IF12.5
err2026-09-09
err0
errOAAI
errThéo Bourdais; Abeynaya Gnanasekaran; Houman Owhadi; Tuhin Sahai
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errSave
Kernel Methods for the Construction of Certified Lyapunov Functions via Approximate Koopman Eigenfunctions
errJournal of Computational Physics
IF3.8
err2026-09-04
err0
PREAI
errP. Giesl; S. Hafstein; B. Hamzi; J. Lee; H. Owhadi; G. Santin; U. Vaidya
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errSave
Adaptive kernel selection for Kernelized Diffusion Maps
errPHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
IF3.1
err2026-08-01
err0
PREAI
errAboussaad, Othmane; Miraoui, Adam; Hamzi, Boumediene; Owhadi, Houman
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Operator learning at machine precision
errJournal of Computational Physics
IF3.8
err2026-07-27
err0
PREAI
errAras Bacho; Aleksei G. Sorokin; Xianjin Yang; Théo Bourdais; Edoardo Calvello; Matthieu Darcy; Alexander W. Hsu; Bamdad Hosseini; Houman Owhadi
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Benchmarking Gaussian processes for prediction and data assimilation of Alzheimer's disease progression
errJournal of Alzheimer’s Disease
IF0
err2025-12-12
err0
PREAI
errPau Batlle; Matthieu Darcy; Matthew Levine; Boumediene Hamzi; Houman Owhadi; Mehrad Bastani; Yi Zhang; Khaled Sarsour; Francisco Talamas
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A Note on Kernel Methods for the Construction of Lyapunov Functions using Koopman Eigenfunctions
errIFAC PAPERSONLINE
IF0
err2025-11-01
err0
PREAI
errLee, Jonghyeon; Hamzi, Boumediene; Owhadi, Houman; Vaidya, Umesh
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errSave
Gaussian Processes simplify differential equations
errPhysica D: Nonlinear Phenomena
IF0
err2025-10-27
err0
PREAI
errJonghyeon Lee; Boumediene Hamzi; Yannis Kevrekidis; Houman Owhadi
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errSave
Bridging Algorithmic Information Theory and Machine Learning: Clustering, density estimation, Kolmogorov complexity-based kernels, and kernel learning in unsupervised learning
errPHYSICA D-NONLINEAR PHENOMENA
IF2.9
err2025-06-01
err0
PREAI
errHamzi, Boumediene; Hutter, Marcus; Owhadi, Houman
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Kernel methods for the approximation of the eigenfunctions of the Koopman operator
errPHYSICA D-NONLINEAR PHENOMENA
IF2.9
err2025-06-01
err0
PREAI
errLee, Jonghyeon; Hamzi, Boumediene; Hou, Boya; Owhadi, Houman; Santin, Gabriele; Vaidya, Umesh
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errSave
Learning dynamical systems from data: A simple cross-validation perspective, part II: Nonparametric kernel flows
errPHYSICA D-NONLINEAR PHENOMENA
IF2.9
err2025-06-01
err0
PREAI
errDarcy, Matthieu; Hamzi, Boumediene; Susiluoto, Jouni; Braverman, Amy; Owhadi, Houman
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Forward model emulator for atmospheric radiative transfer using Gaussian processes and cross validation
errATMOSPHERIC MEASUREMENT TECHNIQUES
IF3.3
err2025-02-06
err0
errOAAI
errLamminpaa, Otto; Susiluoto, Jouni; Hobbs, Jonathan; Mcduffie, James; Braverman, Amy; Owhadi, Houman
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errSave
Operator learning with Gaussian processes
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2025-02-01
err0
errOAAI
errMora, Carlos; Yousefpour, Amin; Hosseinmardi, Shirin; Owhadi, Houman; Bostanabad, Ramin
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errSave
Error analysis of kernel/GP methods for nonlinear and parametric PDEs
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2025-01-01
err1
errOAAI
errBatlle, Pau; Chen, Yifan; Hosseini, Bamdad; Owhadi, Houman; Stuart, Andrew M.
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errSave
Kolmogorov n-widths for multitask physics-informed machine learning (PIML) methods: Towards robust metrics
errNEURAL NETWORKS
IF6.3
err2024-12-01
err0
PREAI
errPenwarden, Michael; Owhadi, Houman; Kirby, Robert M.
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Codiscovering graphical structure and functional relationships within data: A Gaussian Process framework for connecting the dots
errPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
IF9.1
err2024-08-01
err3
errOAAI
errBourdais, Theo; Batlle, Pau; Yang, Xianjin; Baptista, Ricardo; Rouquette, Nicolas; Owhadi, Houman
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errSave
Kernel methods are competitive for operator learning
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2024-01-01
err10
errOAAI
errBatlle, Pau; Darcy, Matthieu; Hosseini, Bamdad; Owhadi, Houman
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errSave
Uncertainty quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2022-12-01
err2
errOAAI
errBajgiran, Hamed Hamze; Batlle, Pau; Owhadi, Houman; Samir, Mostafa; Scovel, Clint; Shirdel, Mahdy; Stanley, Michael; Tavallali, Peyman
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Learning best kernels from data in Gaussian process regression. With application to aerodynamics
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2022-12-01
err19
errOAAI
errAkian, J-L; Bonnet, L.; Owhadi, H.; Savin, E.
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errSave
Solving and learning nonlinear PDEs with Gaussian processes
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2021-12-01
err70
errOAAI
errChen, Yifan; Hosseini, Bamdad; Owhadi, Houman; Stuart, Andrew M.
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Research Directions

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Co-authors
Cooperation Journals
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Jerrold E. Marsden
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M
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H-index: 68 · Papers: 1.4K
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