Houman Owhadi
applied mathematician
Facts
11 properties- Instance of
- human
- Educated at
- École polytechnique fédérale de Lausanne[5]
- Doctoral advisor
- Gérard Ben Arous[6]
- Maintained by WikiProject
- WikiProject Mathematics[13]
🏷️ Also known as
en Houman Owhadi
🔖 Identifiers · 14
- ISNI
- 0000000120856867
- ORCID iD
- 0000-0002-5677-1600
- VIAF cluster ID
- 171946504
- Library of Congress authority ID
- no2011097256
- GND ID
- 1140457292
- DBLP author ID
- 23/7188
- Google Knowledge Graph ID
- /g/11f0zbzwby
- Google Scholar author ID
- p8KAidYAAAAJ
- IdRef ID
- 242937810
- MR Author ID
- 695100
- Mathematics Genealogy Project ID
- 63821
- National Library of Israel J9U ID
- 987007391871405171
Show all 14 identifiers +2
- Yale LUX ID
- person/592430f3-7843-48b7-b232-fa81a7d6383e
- ZbMATH author ID
- owhadi.houman
🔗 Connections
Author of 16
Bayesian Numerical Homogenization,
Consistency of empirical Bayes and kernel flow for hierarchical parameter estimation,
Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows,
Do ideas have shape? Idea registration as the continuous limit of artificial neural networks,
Fast Eigenpairs Computation with Operator Adapted Wavelets and Hierarchical Subspace Correction,
Kernel Flows: From learning kernels from data into the abyss,
Kernel methods are competitive for operator learning,
Learning “best” kernels from data in Gaussian process regression. With application to aerodynamics
+8 more
← Authored by 16
Bayesian Numerical Homogenization,
Consistency of empirical Bayes and kernel flow for hierarchical parameter estimation,
Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows,
Do ideas have shape? Idea registration as the continuous limit of artificial neural networks,
Fast Eigenpairs Computation with Operator Adapted Wavelets and Hierarchical Subspace Correction,
Kernel Flows: From learning kernels from data into the abyss,
Kernel methods are competitive for operator learning,
Learning “best” kernels from data in Gaussian process regression. With application to aerodynamics
+8 more
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Summary
Houman Owhadi has worked as an applied mathematician[1], university teacher[2], mathematician[3], and computer scientist[4].
FAQs
What did Houman Owhadi do for work?
Houman Owhadi worked as an applied mathematician[1], university teacher[2], mathematician[3], and computer scientist[4].
Where did Houman Owhadi go to school?
Houman Owhadi was educated at École polytechnique fédérale de Lausanne[5].
What awards did Houman Owhadi receive?
Honors received include Fellow of the Society for Industrial and Applied Mathematics[7].