Hayden Schaeffer
Scholar

Hayden Schaeffer

Google Scholar ID: YF5Oy0EAAAAJ
Professor of Mathematics, UCLA
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Citations & Impact
All-time
Citations
2,124
 
H-index
19
 
i10-index
26
 
Publications
20
 
Co-authors
0
 
Contact
LinkedInOpen ↗
Publications
13 items
Generalization Bounds and Statistical Guarantees for Multi-Task and Multiple Operator Learning with MNO Networks
2026
Cited
0
MVNN: A Measure-Valued Neural Network for Learning McKean-Vlasov Dynamics from Particle Data
2026
Cited
0
Adam Improves Muon: Adaptive Moment Estimation with Orthogonalized Momentum
2026
Cited
0
PI-MFM: Physics-informed multimodal foundation model for solving partial differential equations
2025
Cited
0
Regularized Random Fourier Features and Finite Element Reconstruction for Operator Learning in Sobolev Space
2025
Cited
0
A Deep Learning Framework for Multi-Operator Learning: Architectures and Approximation Theory
2025
Cited
0
AdaGrad Meets Muon: Adaptive Stepsizes for Orthogonal Updates
2025
Cited
0
Cauchy Random Features for Operator Learning in Sobolev Space
2025
Cited
0
Resume (English only)
Research Experience
  • Professor & Director of Applied Mathematics, Office: MS 7931.
Education
  • Ph.D. in Mathematics, University of California, Los Angeles, 2013.
Background
  • Research Interests include Mathematical Machine Learning, Nonlinear Differential Equations, Randomization, Applied Probability, and Physical Modeling.
Co-authors
0 total
Co-authors: 0 (list not available)