Scholar
Yasamin Jalalian
Google Scholar ID: NCV8HIMAAAAJ
California Institute of Technology
Citations & Impact
Citations
4
H-index
1
i10-index
0
Publications
2
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Preprints: 'Data-efficient Kernel Methods for Learning Differential Equations and their Solution Operators: Algorithms and Error Analysis'; 'Data-efficient Kernel Methods for Learning Hamiltonian Systems'.
Research Experience
- During her PhD, focused on developing efficient data-driven methods for learning and solving partial differential equations and their solution operators, and participated in several related research projects.
Education
- PhD Candidate: Applied and Computational Mathematics at Caltech, advised by Professors Houman Owhadi and Franca Hoffmann; Bachelor's Degree: Mathematics and Computer Science from École Polytechnique.
Background
- Research Interests: The intersection of mathematical analysis and machine learning, with a primary focus on the theoretical foundations of data-driven methods for complex systems. Particularly interested in kernel methods and Gaussian processes for learning and solving partial differential equations, with an emphasis on analyzing error bounds and function approximation properties across various model architectures and problem settings.
Co-authors